<![CDATA[Best Blackhat Forum

<![CDATA[Best Blackhat Forum - CPA Forum]]> https://bestblackhatforum.com/ Thu, 25 Jun 2026 08:08:15 +0000 MyBB <![CDATA[My own affiliate stack: Free tools I actually use and recommend in your first steps]]> https://bestblackhatforum.com/Thread-My-own-affiliate-stack-Free-tools-I-actually-use-and-recommend-in-your-first-steps Tue, 23 Jun 2026 08:05:35 +0000 https://bestblackhatforum.com/Thread-My-own-affiliate-stack-Free-tools-I-actually-use-and-recommend-in-your-first-steps Here's the free stack I actually open every day, by category, with a concrete example of what each one did for me, and honest notes on where free runs out.

Spying and competitive research
Facebook Ad Library is the big free one. Every ad currently live on Meta, searchable by keyword or competitor page.

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Concrete use: studying a skincare offer, I searched the Ad Library and found one advertiser running the same ad for four months straight. Four months means it's profitable, nobody burns money that long. The angle wasn't the product, it was a "your dermatologist won't tell you this" curiosity hook. Three other advertisers were running variations of the same hook. That convergence told me the angle was the winner, not any one creative, so I built my own version around it. Cost: nothing. The only catch with the library is it shows live ads but no spend numbers, so you read what's running, not how well it's doing.

Remember: The FB ad library gives you the ability to use the API completely free of charge. You can filter and, in the extended version, display hundreds of creatives based on specific keywords and countries.

Example:

Code:

curl -G \

-d "search_terms='california'" \

-d "ad_type=skincare_products" \

-d "ad_reached_countries=['US']" \

-d "access_token=&lt;ACCESS_TOKEN&gt;" \

"https://graph.facebook.com/&lt;API_VERSION&gt;/ads_archive

TikTok Creative Center is the same idea for short video, free, with top ads and trends filterable by region. Google Ads Transparency Center covers what advertisers run across Google. BigSpy has a free tier that scans across platforms, limited but fine for a first look.
Note: free spying is thin for native and push specifically. If that's your world you'll eventually pay for Anstrex or AdPlexity. For Facebook, TikTok and Google, the free libraries genuinely do the job.

Landers and creatives
AI ex. Gemini, GPT, Photopea is a full Photoshop clone in your browser, free, opens PSD files.
Concrete use: I needed to localise a creative for a different geo, just swap the headline text on an existing PSD. Opened it in Photopea, changed the line, exported, done. No Photoshop licence, two minutes.

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Canva's free tier is great for banging out simple banners fast with templates. GIMP and Figma's free plan cover heavier editing. For the landers themselves, plain static HTML costs nothing, and Carrd is a few bucks for simple no-code pages. Free lander templates float around the forums, but read the code before using, I've seen ones with broken tracking baked in and the odd sketchy script attached.

Analytics and behaviour stack
Microsoft Clarity is the most underrated free tool in this whole post. Free heatmaps and free session recordings, no real limits, and you get to watch real people use your lander.

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Concrete use, and this is the one that made me a believer: a lander's CR felt low and I couldn't work out why. I watched about 30 session recordings in Clarity. Same thing over and over, people reached CTA (button to cpa offer) field on the form, paused, and left. The field was asking for a CTA too early and spooking them. I moved it to a second step. CR went from about 6% to just over 9% on the exact same traffic. That fix cost half an hour of watching recordings and zero dollars.
Google Analytics plus Tag Manager is the standard free pairing for the wider picture. Less exciting than Clarity but worth having set up.

Tracking CPA offers
Bemob and redtrack has still a free tier(1month / 14 days), so you can run a real, proper tracker for nothing while you learn. No excuse to run blind. Google Sheets does the rest, your P&L, split test logs, offer comparisons, all of it, and it stays good enough for a very long time. I still run my P&L in a sheet.

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For me, the best solution for keyword research is still Ahrefs. You can buy it for $29 and it will be one of the best decisions you'll make. You can use Google Trends or Ubbersuggest KW Research, but you won't find as many CPA niche suggestions as Ahrefs.

Notion or Trello, free on their basic plans, keep your campaigns and swipe files organised so you're not hunting through random screenshots later. And Reddit plus the niche forums are free audience research people underuse, reading how real people describe a problem hands you angle ideas and the exact words to put in your copy, the kind you'd never invent sitting alone.

Where free stops...

I'm not pretending free lasts forever. Pay when you need proper native or push spy coverage, when your tracking volume outgrows a free tier, or when you want premium lander hosting at scale. Those are real spends, once you've got data saying they'll pay for themselves.

The mistake isn't using free tools, it's buying a stack of paid ones before making a dollar and then wondering where the traffic budget went. And the opposite trap is just as real: tools don't make money, decisions do. I've watched people with the most expensive spy and tracking setup going still lose, because the software was never the bottleneck, their judgement was. A free stack with you paying attention beats a premium stack on autopilot every time.

Start here, put the real money into traffic, upgrade a tool only when a specific limit is actively blocking you. That's my stack. Always looking to add to it, so drop any free tool that earns its place on your screen.]]> Here's the free stack I actually open every day, by category, with a concrete example of what each one did for me, and honest notes on where free runs out.

Spying and competitive research
Facebook Ad Library is the big free one. Every ad currently live on Meta, searchable by keyword or competitor page.

[Image: image.png]

Code:

curl -G \

-d "search_terms='california'" \

-d "ad_type=skincare_products" \

-d "ad_reached_countries=['US']" \

-d "access_token=&lt;ACCESS_TOKEN&gt;" \

"https://graph.facebook.com/&lt;API_VERSION&gt;/ads_archive

For me, the best solution for keyword research is still Ahrefs. You can buy it for $29 and it will be one of the best decisions you'll make. You can use Google Trends or Ubbersuggest KW Research, but you won't find as many CPA niche suggestions as Ahrefs.

Notion or Trello, free on their basic plans, keep your campaigns and swipe files organised so you're not hunting through random screenshots later. And Reddit plus the niche forums are free audience research people underuse, reading how real people describe a problem hands you angle ideas and the exact words to put in your copy, the kind you'd never invent sitting alone.

Where free stops...

I'm not pretending free lasts forever. Pay when you need proper native or push spy coverage, when your tracking volume outgrows a free tier, or when you want premium lander hosting at scale. Those are real spends, once you've got data saying they'll pay for themselves.

The mistake isn't using free tools, it's buying a stack of paid ones before making a dollar and then wondering where the traffic budget went. And the opposite trap is just as real: tools don't make money, decisions do. I've watched people with the most expensive spy and tracking setup going still lose, because the software was never the bottleneck, their judgement was. A free stack with you paying attention beats a premium stack on autopilot every time.

Start here, put the real money into traffic, upgrade a tool only when a specific limit is actively blocking you. That's my stack. Always looking to add to it, so drop any free tool that earns its place on your screen.]]> <![CDATA[Low Quality Score Is Burning Your Google Ads Budget — How to Stop Overpaying for Clicks]]> https://bestblackhatforum.com/Thread-Low-Quality-Score-Is-Burning-Your-Google-Ads-Budget-%E2%80%94-How-to-Stop-Overpaying-for-Clicks Wed, 17 Jun 2026 10:00:12 +0000 https://bestblackhatforum.com/Thread-Low-Quality-Score-Is-Burning-Your-Google-Ads-Budget-%E2%80%94-How-to-Stop-Overpaying-for-Clicks
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The comments pointed to several usual suspects: expensive auction, high competition, overly broad keywords, aggressive automated bidding, and low Quality Score. This post focuses specifically on QS — what it actually does to your costs, why it tanks ROI, and what you can do to pay less per click.

How Quality Score affects what you pay

Quality Score is a per-keyword metric in Google Ads built from three components: expected CTR, ad relevance, and landing page experience. Google is upfront that QS itself doesn't directly enter the auction — but it's a diagnostic tool that shows you where your ad, keywords, or landing page are losing ground to competitors.

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When QS drops, Ad Rank drops with it. Every time a user searches, Google calculates Ad Rank for every auction participant using a bunch of variables — your bid, landing page quality, auction competitiveness, search context, and ad quality. Ad Rank determines both where your ad appears and how much you actually pay per click.

The practical CPC impact is well-documented. Once QS falls below 6, Google starts inflating CPC. People have confirmed this in their own accounts plenty of times.

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Here's a simple example of what that does to ROI. At $2.50 CPC on a $500 budget you get roughly 200 clicks. With a 5% conversion rate that's 10 leads. At $80 CPL, revenue is $800 and ROI is 60%.

Now keep everything the same but bump CPC to $5 because of a weak setup. Same $500 budget now gets you 100 clicks, 5 leads, $400 revenue, and ROI flips to -20%. That's the actual cost of ignoring QS.

In situations like this, buyers need to move fast — rebuild ad groups, test new copy, audit the landing page, clean Search Terms, and tweak bids carefully. But all of that work falls apart if the account can't handle the pace of optimization. On weak self-reg accounts, frequent edits, rising spend, and parallel tests often end not in lower CPC but in limits, reviews, or a banned account.

That's why experienced teams prefer trusted agency accounts over self-registered ones. Google is fine with campaign parameters changing every 10 minutes on these — because the ads run under real agencies that have official partnerships with Google. YeezyPay provides verified agency accounts that are ready to run campaigns immediately, with access to 10+ agency MCCs across different countries. You pick the right account, start testing fast, and skip the whole warmup process. It gives you a stable foundation to test different setups without worrying that everything stops the moment you make your first edits.

Why Quality Score drops

Google isn't just evaluating how much you're willing to bid. It's measuring how well your ad matches search intent, how likely someone is to click it, and whether the landing page delivers on what the ad promised. Breaking this down usually means looking at several things:

Weak keyword → ad → landing page chain. Classic example: the keyword is "best online casino Spain," the ad says "Play and win bonuses," and after clicking the user lands on a generic offer wall with no Spanish content, no local payment methods. That's a broken experience for the user and a bad signal for Google. Both ad relevance and landing page experience take a hit.

Too many unrelated keywords in one ad group. If one group contains "online casino Argentina," "no deposit bonus," "casino reviews," "best slots," and "casino app," you simply cannot write one ad that works for all of them. Each query has a different intent. A single generic ad misses every segment, CTR falls, relevance drops, and QS starts dragging the campaign down. Google's own recommendation is to break these out by intent: registration, bonuses, reviews, app, brand terms, competitor terms, etc.

Low expected CTR. If Ad A mentions fast withdrawals, local payment methods, a welcome bonus, and geo-specific language, and Ad B says "Bet with us, win and have fun" — users will click the first one. The challenge is hitting the right triggers without getting flagged by moderation.

Garbage traffic in Search Terms. Even if your keywords look targeted, the Search Terms report can tell a different story. A commercial campaign can start pulling in queries like "what is a casino," "how slots work," "scam," "complaints," or "casino jobs." For Google's algorithms these might cluster in the same topic space — for you they're completely different users with different value.

Experienced buyers in forum discussions recommend checking more than just spend — look at expected CTR, actual CTR, and which terms are actually appearing in the Search Terms report.

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One important caveat from the same threads: not every CPC spike is a QS problem. Prices can rise because of increased auction competition, competitors raising bids, or demand spikes on certain days. Look at a 2–4 week trend, not daily fluctuations. If QS and structure haven't changed but clicks suddenly got more expensive, check Auction Insights and impression share. The market may have just gotten more expensive.

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How to actually fix it

Start by evaluating the three QS components separately: Expected CTR, Ad Relevance, and Landing Page Experience. In Google Ads you can add these as columns in the Keywords view — here's how to set that up:

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After adding them, you'll see separate columns in the stats view:

[Image: image9.png]

During a campaign, each keyword will show a value for each component: below average, average, or above average. Here's what to do when something is underperforming:

Expected CTR is below average — the problem is usually in the ad itself. It might be too generic, not differentiated from competitors, or not aligned with how people are actually searching. Test new headlines, add specifics, lead with your USP, tie the ad tighter to the keyword's intent. For a query like "online casino Portugal fast withdrawal," a generic ad about online play will lose to one that directly mentions Portugal, fast payouts, and local currency.

Ad Relevance is below average — the ad and keyword don't match well enough in meaning. Typically happens when too many different queries share a group. The consistent advice on affiliate subreddits: group by exact user intent and write headlines that directly answer the specific search query. Each tight cluster gets its own ad and landing page.

[Image: image1.png]

Landing Page Experience is below average — speed is only part of the problem. The page needs to follow through on what the ad promised. If the ad mentions a deposit bonus, that bonus needs to be visible immediately. If you're targeting Canada, the page needs local signals — language, payment methods, local currency.

Once the main QS components are addressed, move to negative keywords. Standard keywords in Google Ads can expand through semantic matching and misspellings — but negatives don't work the same way. Adding "casino scam" as a negative doesn't automatically block "casino fraud," "casino rip-off," or "casino scamm." Each variation needs to be added manually.

Forum practitioners make a consistent point: don't spend money on obviously junk queries just to "wait for data." Some buyers let irrelevant terms run to 3–5 clicks to avoid disrupting Smart Bidding's learning phase. But in expensive niches that's a costly approach — if a single click runs $15–20, a few clicks on a junk query burn $75–100 and contribute nothing.

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Worth noting: high CTR doesn't automatically mean quality traffic. Some irrelevant queries click just fine but have zero commercial intent. The goal isn't to maximize CTR — it's to clean the campaign of queries that corrupt the learning signal and make it harder for Google to understand who you actually want to reach.

On automated bidding: once things are cleaned up, the temptation is to hand the campaign off to Smart Bidding. That's often where positive ROI turns negative. Practitioners from BlackHatWorld and similar communities consistently say: don't automate while the structure is still rough, negative keyword lists are incomplete, and conversion data is thin. Google will start aggressively pushing bids trying to hit conversion targets, CPC balloons, daily budget disappears faster, and you end up with fewer clicks than before.

Keep control early. Watch which keywords are actually driving clicks, where CPC is running out of range, which groups are eating budget disproportionately. Automate after the structure is solid, ads are tested, the landing page works, and there's real conversion data in the account.

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That's why it's worth thinking about account infrastructure alongside campaign quality. If budget gets stuck on a banned account, all optimization stops cold. With YeezyPay, that problem is pretty straightforward to handle: if a rented account gets banned, they'll help you find a replacement and return the funds from the balance. That means you can redirect money from one account to another without losing time, money, or your mind.

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After adding them, you'll see separate columns in the stats view:

[Image: image9.png]

Putting it all together

Working on Quality Score is rarely a clean linear process. One ad group shows fine expected CTR but no conversions. Another generates good click volume but pulls junk traffic. The practical reality is constant reallocation between hypotheses.

If QS is below 6–7, CPC inflation is nearly guaranteed. When Google is burning budget but not delivering clicks, look at Expected CTR, Ad Relevance, Landing Page Experience, Auction Insights, and bidding strategy — in that order. Sometimes the problem is a weak ad. Sometimes the landing page. And sometimes the market just got more competitive.

There's no shortcut: QS only improves through actual work on keywords, ads, and landing pages. Raising bids or enabling Smart Bidding on top of a weak structure doesn't fix anything — it just accelerates spending on bad signals.

But even once you've sorted out campaign quality, there's still the question of where to run it. Finding a working setup is one thing — getting an account, topping up the balance, and jumping straight into testing without wasting time on negotiations, warmups, and hunting for a new account is another. YeezyPay handles the infrastructure side: sign up, fund your balance, get access to an agency account, and start launching campaigns. Verified agency accounts from 10+ MCCs, no long onboarding. So you can focus on finding and scaling what works — not on the organizational side of things.]]> <![CDATA[[REQ] Dan Cheung wChampFX Winner Circle Program 5.0 Course]]> https://bestblackhatforum.com/Thread-REQ-Dan-Cheung-wChampFX-Winner-Circle-Program-5-0-Course Wed, 20 May 2026 18:50:13 +0000 https://bestblackhatforum.com/Thread-REQ-Dan-Cheung-wChampFX-Winner-Circle-Program-5-0-Course
LEARN HOW BEGINNERS ARE EARNING THEIR FIRST PAYOUT WITH PROP FIRMS
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Sales Page: https://www.wchampfx.com/

Who is Dan Cheung?

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Dan has repeatedly ranked on top across several prop firms, including a standout performance in 2025 where he generated $50,000 (a 25% gain) on a $200,000 FTMO account; fully verified with payout certificates.

One payout can cover the cost of this offer ten times over.]]>
LEARN HOW BEGINNERS ARE EARNING THEIR FIRST PAYOUT WITH PROP FIRMS
IN LESS THAN 90 DAYS USING MY $1M STRATEGY

Sales Page: https://www.wchampfx.com/

Who is Dan Cheung?

Learn from Dan Cheung - A Consistent Leaderboard Trader Across Multiple Prop Firms with multiple payouts amounting to over $500k+

Dan has repeatedly ranked on top across several prop firms, including a standout performance in 2025 where he generated $50,000 (a 25% gain) on a $200,000 FTMO account; fully verified with payout certificates.

One payout can cover the cost of this offer ten times over.]]> <![CDATA[30–90% Bot Clicks on Google Ads: Real Cases, Real Fixes]]> https://bestblackhatforum.com/Thread-30%E2%80%9390-Bot-Clicks-on-Google-Ads-Real-Cases-Real-Fixes Fri, 15 May 2026 13:20:55 +0000 https://bestblackhatforum.com/Thread-30%E2%80%9390-Bot-Clicks-on-Google-Ads-Real-Cases-Real-Fixes
It's not just noise. People are posting screenshots. One user showed invalid clicks hitting 40% of all clicks — at that point it wasn't nibbling at the daily spend, it was torching almost all of it.

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Another guy said the moment he turned on Search Partners, 90% of his budget started going to bots and low-quality garbage. Not a fluke — just Search Partners doing what it does.

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There are real ways to bring those numbers down. The catch is that on self-registered accounts, the fixes that help can also get you flagged. More on that below.

Where the Fake Clicks Actually Come From

Google officially puts "invalid clicks" into several buckets:

- Accidental clicks
- Double clicks
- Competitor click fraud
- Publishers clicking their own ads to inflate revenue from placements
- Bots and outright fraud

In affiliate traffic, bots are the main problem. Marketer Mike Ryan dug into this with actual numbers: in his sample, invalid clicks in Search Partners ran around 10%, in Display Network around 17%. He specifically called out Search Partners as a source with an abnormally high share of dirty and fake traffic.

The real damage happens when Google's algorithm starts learning from that bot traffic. If you're optimizing for clicks rather than conversions, the system can fall into a feedback loop — reinforcing the exact garbage sources that are draining your budget.

Someone on Reddit ran a clean test on this. He launched the same campaign without AI Max in late 2025, then again with AI Max in early 2026. Without AI Max: 8% invalid clicks. With AI Max: 19%. Same campaign, one setting changed, more than double the bot share.

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After catching that, he had to tear the whole thing down and rebuild — disable Search Partners, disable Display Network, switch optimization goals, run new tests, and watch how the algorithm behaved after each change. On a self-registered account with no history, all that activity looks suspicious. Google has no context on you, and sudden behavior changes read like someone burning through a throwaway before a ban.

The easiest way around that is finding an account with history and trust already baked in. YeezyPay agency accounts come ready to go — because Google already trusts them, you skip the weeks of warm-up and get straight to the actual work: cutting dirty sources and rebuilding the campaign on cleaner traffic.

What Actually Fixes It

Turn Off Display Network and Search Partners

If that's where the junk is coming from, cut it first.

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Google doesn't publish the full Search Partners list, but officially it includes way more than just search engines — parked domains, directories, third-party search surfaces, random external pages. This inventory has been getting roasted for years. Google itself quietly started removing parked domains from Search Partners in 2025–2026 because of the exact same complaints — low-intent traffic and junk clicks that advertisers kept reporting.

In practice the Search Partners pool includes small forums, news aggregators, entertainment *marked as SPAM*, and sites that have zero business showing your ads. A case that made the rounds: FBI job listings serving on a zooporn site. That's Search Partners doing its thing.

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Cutting these off typically lowers your CPC, reduces junk clicks, and improves ROI on whatever traffic is left.

Kill Performance Max, AI Max, and Auto-Apply Recommendations

PMax and AI Max both decide where your ads show — and give you almost no real visibility into where that actually is. Stats come back aggregated, budget decisions are made by the algorithm, and if invalid clicks are coming through these placements, isolating the source becomes a genuine headache.

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People who've dealt with this are pretty blunt: these features exist to expand Google's traffic buying, not to help you spend smarter. If your invalid click rate is climbing inside PMax, the move is to either pause it entirely or run it as a completely separate test with hard budget caps — otherwise its data bleed into your search campaigns and breaks everything.

Auto-Apply Recommendations deserves its own mention. It can quietly re-enable Broad Match, Search Partners, and Display Network on its own — and the notification emails don't always reach whoever is actually running the account. People have reported waking up to thousands in wasted spend before catching it. Turn it off before it starts making decisions for you.

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Don't Just Trust Google's Built-In Anti-Fraud

In 2026, bots are genuinely good at acting human. They fill out forms, simulate purchases, leave fake contact details. Google's system can keep treating them as real users and optimize toward them — pushing costs up while quietly destroying your conversion quality from the inside.

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External tools like ClickCease and MyClickShield catch what Google misses and meaningfully cut the share of bot traffic the algorithm trains on. Experienced affiliates at this point treat these as non-optional.

Why Self-Registered Accounts Make This Harder

Here's where it gets frustrating. All of the fixes above — cutting sources, running control scripts, updating negative keyword and placement exclusion lists, reining in AI features — look like suspicious activity on a cold account with no history.

No trust, no track record. Sudden behavior changes read as either fraud or a throwaway account being burned before a ban. The result is reviews and blocks before you've had any real chance to clean things up.

The workaround most experienced people use is agency accounts from YeezyPay — aged accounts with established trust that can absorb these kinds of changes without tripping the same flags. On a trusted account you can run budget control scripts, isolate traffic sources, update exclusion lists on a regular schedule, limit AI features — all of it — without the constant risk of getting locked out mid-test and losing the data you've already built up.

Final Thoughts

A lot of Google's automated features seem to work in Google's favor more than yours. Search Partners, Display Network, AI learning loops, and Auto-Apply Recommendations all create conditions where bot clicks eat budget and the algorithm doubles down on the wrong sources.

If your invalid click rate is sitting above 15–20%, the starting point is simple: cut the dirty sources, turn off AAR, add external anti-fraud, and stop optimizing for clicks instead of conversions. Just make sure the account you're doing it on can actually handle the changes without getting nuked in the process.

That said, how much room you actually have to make these changes depends heavily on the account. On self-registered accounts, aggressive cleanup — scripts, exclusion lists, AI restrictions — can look like suspicious activity and trigger a review before you've fixed anything. YeezyPay agency accounts give you more breathing room: the trust is already there, so you can run automation, update negative keyword and placement lists on a regular schedule, and keep the algorithm in check without the constant fear of getting locked out mid-cleanup.]]>
It's not just noise. People are posting screenshots. One user showed invalid clicks hitting 40% of all clicks — at that point it wasn't nibbling at the daily spend, it was torching almost all of it.

[Image: image3.jpg]

External tools like ClickCease and MyClickShield catch what Google misses and meaningfully cut the share of bot traffic the algorithm trains on. Experienced affiliates at this point treat these as non-optional.

Why Self-Registered Accounts Make This Harder

Here's where it gets frustrating. All of the fixes above — cutting sources, running control scripts, updating negative keyword and placement exclusion lists, reining in AI features — look like suspicious activity on a cold account with no history.

No trust, no track record. Sudden behavior changes read as either fraud or a throwaway account being burned before a ban. The result is reviews and blocks before you've had any real chance to clean things up.

The workaround most experienced people use is agency accounts from YeezyPay — aged accounts with established trust that can absorb these kinds of changes without tripping the same flags. On a trusted account you can run budget control scripts, isolate traffic sources, update exclusion lists on a regular schedule, limit AI features — all of it — without the constant risk of getting locked out mid-test and losing the data you've already built up.

Final Thoughts

A lot of Google's automated features seem to work in Google's favor more than yours. Search Partners, Display Network, AI learning loops, and Auto-Apply Recommendations all create conditions where bot clicks eat budget and the algorithm doubles down on the wrong sources.

If your invalid click rate is sitting above 15–20%, the starting point is simple: cut the dirty sources, turn off AAR, add external anti-fraud, and stop optimizing for clicks instead of conversions. Just make sure the account you're doing it on can actually handle the changes without getting nuked in the process.

That said, how much room you actually have to make these changes depends heavily on the account. On self-registered accounts, aggressive cleanup — scripts, exclusion lists, AI restrictions — can look like suspicious activity and trigger a review before you've fixed anything. YeezyPay agency accounts give you more breathing room: the trust is already there, so you can run automation, update negative keyword and placement lists on a regular schedule, and keep the algorithm in check without the constant fear of getting locked out mid-cleanup.]]> <![CDATA[How Google Detects Anti-Detect Browsers via "Too Clean" Fingerprints]]> https://bestblackhatforum.com/Thread-How-Google-Detects-Anti-Detect-Browsers-via-Too-Clean-Fingerprints Thu, 22 Jan 2026 14:01:37 +0000 https://bestblackhatforum.com/Thread-How-Google-Detects-Anti-Detect-Browsers-via-Too-Clean-Fingerprints
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Today, providing a User-Agent is no longer a guaranteed pass; it’s merely a declaration like: "Hey! I'm a Chrome browser on Windows." The algorithms then respond: "Hi. Fine, prove it," and begin verifying if that’s actually the case. In this article, we’ll break down how these algorithms work, what exactly gives media buyers away, and how to pass these checks.

What’s Wrong with Standard User-Agents?

In late 2023, Google shifted away from the classic User-Agent in favor of Client Hints. By 2026, thanks to AI, this technology has become even more sophisticated. To understand the difference, let’s recap how a device interacts with a site. Every device has a unique set of data bundled into its User-Agent: fonts, OS, GEO, GPU, CPU, etc. Before Client Hints, the browser would send the entire User-Agent string to the server. Generating this string took seconds, allowing anti-detect browsers to easily bypass anti-fraud systems.

With Client Hints, the rules changed: the server now requests specific snippets of the User-Agent to match them against other fingerprint elements. This reduces the risk of full User-Agents falling into third-party hands and makes it harder to deceive anti-fraud algorithms. Technically, the transition to Client Hints happened gradually between Chrome 100–110. This means that if you set an anti-detect profile to a Chrome version older than 100, any platform will immediately flag it for lacking modern Client Hints support.

As AI evolved, Google also improved its analysis of behavioral metrics—mouse movement speed, trajectories, typing dynamics, device motion, and even touch pressure. A user might use the latest Chrome with Client Hints, but the tech giant can catch them on other parameters: perfectly straight trajectories, uniform cursor speeds, or instantaneous form filling. Some anti-detect tools automate routines, hovering over a captcha before the window even appears or entering text in 0.5 seconds—actions a real human would never perform.

In practice, algorithms go beyond just the browser, User-Agent, and Client Hints. Google Ads also scrutinizes the IP address and the overall advertising infrastructure. You could "engineer" a perfect fingerprint and pass all checks, yet fail to launch a campaign due to account-level issues. Self-registered and personal accounts are always under heavy scrutiny. Consequently, the only relatively reliable option is using agency accounts. The easiest way to get these is through YeezyPay—the service offers trusted, verified accounts from real agencies working directly with Google.

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This level of trust minimizes the number of checks and avoids drawing unnecessary attention from moderators, even when working with gray-hat verticals.

How Algorithms Detect Anti-Detect Browsers

Suppose an anti-detect browser manages to create a plausible User-Agent and passes Google’s initial screening. The testing doesn't stop there; the system continues to test the profile in the background using several methods:

1. Compatibility Tracking: Google identifies both hardware and temporal inconsistencies. A hardware example is an iPhone with a 1440p resolution. While Android devices like the Samsung Galaxy S-series, Vivo, or OnePlus have this, Apple hardware never has. A temporal inconsistency involves attribute changes between requests—for instance, a user visiting a site at 12:00 from a LA timezone and then at 12:01 from Beijing. Even AI understands that a person cannot travel 10,000 km in one minute. Each inconsistency adds "suspicion points" to the account.

2. Google Picasso: Google’s database contains info from hundreds of millions of devices tested in "field" conditions. This means algorithms know exactly how a specific device should react to a certain request. One example is Google Picasso, a technology for fingerprint evaluation. It works by asking the device to render a curve, a gradient, or text.

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The system already knows what the rendering process and output should look like on that specific device. If a device claims to be Firefox on Windows, it must perform the task exactly as the "Firefox + Windows" pattern dictates.

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3. The "Too Perfect" Trap: Practice shows that anti-detect browsers strive to create perfect fingerprints that don't match real-world user devices. When faced with Google’s challenges, the buyer’s computer fails to behave as expected, causing the system to detect an anomaly and issue sanctions.

4. Cumulative Scoring System: Google rarely issues a verdict instantly. It uses a cumulative scoring system to determine if a profile violates policies. While only engineers know the exact formula, it evaluates a wide range of parameters: fingerprints, behavioral metrics, IP reputation, behavior patterns, account history, etc. The more points a device accumulates, the higher the risk of restrictions.

How to Launch Google Ads to Minimize Suspicion

Every media buyer has their own unique workflow, and finding a "one-size-fits-all" solution online is nearly impossible. However, these recommendations can help minimize the risk of exposing a faked User-Agent:

- Build a Cohesive Setup: Ensure your proxy GEO and account align perfectly. Remember, the system analyzes data from both the browser and the device. To see how well you’ve masked yourself, use scanners like BrowserScan or PixelScan. Once your fingerprint is solid, move on to account warming to build trust.

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- Act Like a Human: Don't fall for "AI features" in anti-detect browsers that let you mass-produce profiles. Affiliates often try to automate logins and warming from these profiles, but this is the hardest criteria to pass. Google sees how a user clicks, moves the cursor, and fills fields. Mix automation with manual actions to avoid triggering sanctions.

- Use Agency Accounts: If you run ads from personal accounts, even the best efforts may fail. Agency accounts offer a more predictable and reliable alternative. These are issued to real businesses with formal agreements with Google, carrying much higher trust. This often means support might overlook minor issues or contact the user to point out potential problems rather than banning them instantly. Avoid scammers selling "warmed personal accounts" as agency accounts for $200–300. To avoid these risks, turn to a proven provider like YeezyPay. We have been providing agency accounts for over three years.

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Our catalog currently features over 10 MCCs and is constantly growing, allowing you to quickly find a reliable proxy-account combination and run ads peacefully.

Conclusion

In 2026, "too clean" fingerprints are often more of a hindrance than a help in Google Ads. By moving to Client Hints, Google has made it easier to detect anti-detect browsers. Algorithms now request partial device data, track compatibility, and even run "stress tests" via Google Picasso. Furthermore, the tech giant now scrutinizes the entire launch infrastructure: device, proxies, GEO, and accounts.

To lower detection risks, experienced affiliates recommend matching proxies with the account's GEO, mixing automation with manual intervention, and using agency accounts. These accounts naturally have higher authority in Google’s eyes and undergo fewer checks. With agency accounts from YeezyPay, media buyers can scale their campaigns longer with less worry about sanctions. All accounts are verified and have no spend limits, allowing you to potentially make a mistake with your anti-detect settings without losing your profit and ROI.]]>
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Some might suggest setting a specific daily budget or avoiding large top-ups, but even that often fails. You can’t beat the advertising algorithms, but you can outsmart them. Here is how.

Why Google Ads Eats Your Budget So Fast

First, this situation is not a bug; it’s a feature of the platform itself. Google will never fix it because:

1. The goals of Google and the affiliate do not align. At the start of a campaign, a typical buyer thinks the platform will distribute their money evenly throughout the day to control risks. Even the term Smart Bidding seems to imply that the algorithm will act rationally. In reality, Google’s goal is to get the maximum number of conversions as quickly as possible. The algorithm’s logic is roughly: it is 7:00 AM, competition is low, and CPC is only $10. I know from experience that during the day, CPC will reach $20–$30+, so I need to enter every auction now. For the platform, it’s much better to get 100 clicks at $10 in the morning than 20 clicks at $30 throughout the day.

2. The platform allows itself to spend up to 2x the daily budget. Google documentation explicitly states that a user will never pay more than 2x the amount set for the day. If the algorithm sees an opportunity to hit its conversion goal early on, it will pour all the money into that window. Consequently, even distribution over 24 hours is rarely an option.

3. The scaling trap. When standard strategies fail, the logical step seems to be cranking up the budget to make it last longer. While this makes sense on paper, an affiliate exponentially increases the risk of a ban alongside the spend. This is critical during the scaling phase when you need to squeeze a winning combination faster than competitors. Self-registered or personal accounts will get banned instantly in this scenario, and many agency providers might refuse to work with an affiliate running gray-hat niches. With YeezyPay, these problems don't exist. The service provides accounts specifically for gambling, betting, and crypto. In case of a ban, the affiliate gets their balance back. You can get an agency account from 10+ different MCCs in minutes and scale your campaigns without the fear of losing funds.

How to Prevent Budget Burn in Google Ads

Experienced media buyers have solved this problem and generally suggest three main options:

1. Using Manual CPC or Enhanced CPC (eCPC)

Manual CPC implies that the bid for the auction is set manually. For example, if you set a limit of $35, you will skip all auctions where traffic is more expensive. This approach works with minimal data, so you do not need a high volume of conversions to keep the algorithm stable.

Another option is Enhanced CPC. In this case, the buyer still defines the bid, but the system varies it by roughly 10–30% based on user data. If Google can lower your bid by 10% and still get a lead, it will. Conversely, it will raise it by up to 30% to secure a high-quality click. This prevents the budget from burning out in the first few hours on overpriced auctions.

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2. Launching Multiple Campaigns Throughout the Day

This approach is for seasoned pros. The idea is to launch several campaigns during the day without time overlaps, using custom settings for each:

- 06:00 AM – 12:00 PM: Traffic activity is low. The affiliate sets Manual CPC at $20 and Portfolio Max CPC at $40 with a $150 budget.
- 12:00 PM – 6:00 PM: The next campaign starts. CPC limits stay the same, but the budget increases to $200.
- 6:00 PM – 12:00 AM: A third campaign launches with settings adjusted for peak audience activity.

This works only if you have detailed analytics of your traffic and understand its habits. Over time, you will identify when users are most active and at what price you can profitably buy them.

3. Reducing Bids and Distributing via Ad Schedule

Google Ads has two powerful features: Ad Schedule and Bid Adjustments. The first allows you to show ads during specific hours or days, and the second allows you to add a multiplier to the set bid. If the platform starts burning the budget too fast, the affiliate checks the stats, identifies peak hours, and sets multipliers like plus 20% during high-conversion hours and minus 50% during the morning drain.

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Unlike the previous method, this is done within a single campaign. However, regardless of the method, it is hard to beat the algorithm within a single weak account.

The Secret to Sustainable Scaling: Agency Trust

The most effective way to solve the budget burn issue is to use multiple accounts and parallel setups. Managing this manually is a nightmare, so pros use scripts and API to automate the routine. But here is the catch: automated actions on a new account often trigger a ban for suspicious activity.

A fresh account won't let you set a $1,000 daily budget right away, but an agency account will. These accounts possess high initial trust, and Google expects them to be managed by experts with large spends. Buying such profiles from random vendors is a gamble, which is why it is safer to rent them from market leaders.

YeezyPay provides the perfect environment for this:
- Access to 10+ Agency MCCs.
- Ability to scale budgets to high amounts instantly.
- Full support for scripts and API automation without triggering paranoid bans.
- Reliable financial logistics with crypto top-ups and high-trust payment methods.

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Conclusion

Budget disappearance in high-demand niches is normal Google behavior, not a bug. The platform wants results, even if it has to spend your entire daily limit by 10:00 AM.

To prevent this, use Manual CPC, eCPC, or segment your campaigns by time using Ad Schedule and Bid Adjustments. These methods require more analysis but give you back control over your money.

However, even the best settings won't save you if your accounts are constantly banned or budget-capped. This is where trusted Google Ads agency accounts come in. They are designed for large spends and stable work with automation. YeezyPay gives you access to these cabinets for both white-hat and gray-hat verticals, helps with replacements, and ensures your balance is safe. Scale your winning combinations without worrying that your budget or your account will vanish in a couple of hours.]]> <![CDATA[Help me get approved into best CPA networks]]> https://bestblackhatforum.com/Thread-Help-me-get-approved-into-best-CPA-networks Sat, 20 Dec 2025 19:49:29 +0000 https://bestblackhatforum.com/Thread-Help-me-get-approved-into-best-CPA-networks
I've been away from CPA and affiliate marketing for 7-8 years and now want to come back.

I will be building niche sites with organic traffic and ranking, all whitehat, but need best offers to build around them first.

I will not get approved now, have nothing to show yet.

Anyone selling a service to get approved into best networks like Maxbounty?

Would be great, let me know if you can help. Maybe you know a secret or "best words" to say to get approved.]]>
I've been away from CPA and affiliate marketing for 7-8 years and now want to come back.

I will be building niche sites with organic traffic and ranking, all whitehat, but need best offers to build around them first.

I will not get approved now, have nothing to show yet.

Anyone selling a service to get approved into best networks like Maxbounty?

Would be great, let me know if you can help. Maybe you know a secret or "best words" to say to get approved.]]> <![CDATA[Advertiser Identity Verification 2.0 in Google Ads: How an Ordinary Affiliate Can Pass Advertiser Check]]> https://bestblackhatforum.com/Thread-Advertiser-Identity-Verification-2-0-in-Google-Ads-How-an-Ordinary-Affiliate-Can-Pass-Advertiser-Check Thu, 18 Dec 2025 14:03:15 +0000 https://bestblackhatforum.com/Thread-Advertiser-Identity-Verification-2-0-in-Google-Ads-How-an-Ordinary-Affiliate-Can-Pass-Advertiser-Check
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Now, in most cases, it is not enough for the platform to simply see a scan of the passport or driver's license of the ad account owner. The system wants to know how the business advertising the product or service is structured internally, who produces this product, and on what basis it is even being advertised from that account.

For a media buyer or a solo affiliate who runs traffic to gray verticals, this sounds like a death sentence. Already, some affiliates are describing situations online where, even after submitting a complete package of documents confirming that the advertisement is being shown legally, Google Ads demands even more proofs. Moreover, if verification is not passed within the set deadline, the account may be blocked altogether without the possibility of restoration. Today, the YeezyPay team, a trusted Google Ads agency account rental service, proposes to figure out why this is happening and whether there are real ways to bypass this wall.

Google is trying to end advertiser anonymity, imposing a "new sincerity"

Previously, the verification process was a formality. Affiliates simply sent ready-made dropper documents, generated or borrowed from open sources, added the address of any real existing business to the landing page, confirmed the payment profile, and continued to run traffic. Now, Google has implemented a multi-level Advertiser Identity Verification system, which goes hand-in-hand with Business Operations Verification, taking a course towards total transparency.

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The search giant states that the main goal of these verifications is for the user to see the name of the final advertiser and understand who they are paying money to, and indeed, at whose expense all this marketing "banquet" is happening. Accordingly, affiliates and simple webmasters who run traffic to gambling, crypto/forex, nutra, and other grayhat offers, using pre-landers, white pages, WebView apps, and other cloaking methods, automatically fall into the category of non-transparent businesses. In short, they clearly do not comply with the updated requirements.

Google requires company registration documents and evidence of business operations. And what kind of business operations can an affiliate have who is simply reselling traffic, and is doing so while pushing the boundaries of the geo's laws and the advertising platform's rules? This is precisely where the main conflict between the new policy and old working methods lies.

Why Google Ads Agency Accounts Are an Effective Tool for Verification Issues

It would be dishonest to claim that linking a self-registered Gmail account to even the most trusted agency cabinet in today's reality is a "magic bullet" that saves you from everything. But in most cases, it is precisely thanks to agency accounts that campaigns and farmed accounts of top media buying teams survive longer, specifically because of the trust placed in the agency accounts they rent.
The logic of many affiliates is based on the mistaken belief that if they connect to an agency account, everything is verified there, meaning they won't be bothered, even if they run gray traffic. This is a dangerous misconception. Yes, the agency providing access passes its own level of KYC verification.

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The payment profiles of YeezyPay agency accounts are already confirmed, the transaction history is clean, and Google sees that the money comes from a legal, white-hat company. This solves a huge number of payment-related problems. The webmaster genuinely eliminates the risk of getting banned for suspicious activity during the card linkage stage, as YeezyPay takes on all financial validation and ensures a "clean" flow of funds. However, this does not mean that the media buyer or solo affiliate can do nothing at all and run traffic to anything without cloaking, maxing out the daily spend. The fact is, Google now clearly separates the concepts of "who pays" and "who advertises." In our case, the payer is the agency, and the advertiser is the webmaster himself.

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Verification Triggers That Cause Google to Demand Tons of Documents

In practice, problems with advertiser verification arise when the system requests confirmation of the business model. This usually does not happen immediately after account creation, but only after certain triggers are detected. Algorithms have gotten better at determining when an advertiser is trying to launch campaigns in a risky niche. For example, the affiliate starts actively scaling campaigns for sweepstakes or nutra. Or the system detects a discrepancy between the white page and the actual offer, bypassing the cloaking with a so-called headless browser.

As soon as the risk score increases, a requirement to pass Business Operations Verification arrives. Here, Google will ask about the connection to the advertised brand. If the affiliate is not the owner of the offer (and in 99% of cases, they are not), they will have to provide a contract with the manufacturer, a license agreement, and any other documents requested by the manual moderation team. A regular affiliate link and screenshots from the affiliate network are not considered weighty evidence by Google. They need signed agreements, real legal addresses, and other bureaucratic history, up to the coincidence of the name of the business owner and the domain owner where the landing page is deployed.

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Affiliates who run traffic to crypto offers, masking them as an educational program and embedding affiliate links in PDF documents with step-by-step guides, might object. They might ask, isn't such a white-hat approach sufficient not to trigger the algorithm for advertiser verification? This also applies to those who run UAC (Universal App Campaigns) via applications with placeholders (stubs). But Google can request documents not only because of the content being promoted in the campaign. The request to pass advertiser verification can also arrive due to:

- High-risk geos (e.g., IN, PK, ID, BR, NG)
- Instantaneous setting of an abnormally large daily spend
- Sharp jumps in the number of conversions
- Suspicious domain patterns
- Repeating domains that have "popped up" frequently before
- Too young domains
- Minimal suspicions of cloaking signs in the campaign (regardless of whether it's light or complex)
- Blacklists of BINs or payment-risk
- Abnormal speed of campaign scaling

In this case, working through reliable infrastructure becomes critically important. By using trusted agency accounts from YeezyPay, the affiliate gains access to a "buffer zone." Accounts created within a powerful MCC (Manager Account) with a good history are less likely to trigger verification at the start. This provides time to spend the budget, collect data, and test the funnel before Google starts asking uncomfortable questions. This is not immunity, but it is a valuable time advantage. Moreover, even if such a request arrives, the YeezyPay service team takes over all communication with Google Ads moderators. Also, if the account is unequivocally blocked or the Business Operations Verification situation reaches a deadlock, the affiliate can transfer the balance to a new account within YeezyPay and continue running traffic.

Ad Transparency as the New Norm

The transparency policy exacerbates the situation. Google wants to show the user the Legal Name of the advertiser.

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If the affiliate operates as a private individual without registering as a sole proprietor or a company of any management form, they have nothing to show except a passport scan and a tax ID number. Grayhat affiliates cannot provide registration documents, simply because their activity formally does not exist in the legal field of the country they are running traffic to. The system considers such accounts anonymous, and with every update to the requirements, there is less and less room for anonyms in the Google Ads auction. Even if the enterprise exists in reality, it is unlikely that an affiliate network or a direct advertiser of an online casino, crypto platform, or manufacturer of questionable dietary supplements will enter into an official contract with the affiliate.

The result is a vicious circle: no documents — no verification — no impressions. In such a situation, there are two solutions:

- Mimicry as a white-hat business by finding droppers, which is quite unsafe.
- Using trusted agency accounts in combination with at least indirect compliance with the advertising platform's rules.

In any case, a legend must be prepared even before launch. The white page, main page, or app should look not like a temporary low-quality placeholder, but like a fully functional website with a privacy policy, contacts, and, preferably, a feedback form.

The Survival Algorithm

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It is important to understand exactly what signals compel Google to demand documents. Usually, it is a combination of factors. First, there is the vertical itself. Crypto and finance, sweepstakes, fake and low-quality e-commerce, etc., will always be under scrutiny. Second, the account behavior. Sharp jumps in budget or the simultaneous addition of a bunch of grayhat keywords to a new account look suspicious, even if it is linked to a super-trusted MCC. Third, the quality of technical settings. Using cheap domains, poor cloaking that allows Google bots to pass through to the real landing page—all of this accelerates the arrival of the verification request.

YeezyPay managers help resolve moderation issues, often pointing out exactly where the affiliates might have made a mistake in campaign settings. This can help avoid unnecessary triggers and rejections right from the start. In disputed situations, the service's support team, relying on its own experience of thousands of dialogues with Google Ads moderators, will correctly file an appeal and share insights on extending the life of the campaign and the account itself. Thus, the affiliate does not have to be left alone with the support bot, waiting for an answer for several days in proud isolation.

So, what to do in the end?

Undoubtedly, having a real business with all contracts and licenses is the most reliable, but complex path. Registering a company in a loyal jurisdiction (e.g., UK or US LLC) provides real documents that can satisfy Google, but, as the practice of some advertisers shows, even this approach does not guarantee a 100% probability of passing verification.

Therefore, the optimal solution for affiliates remains the so-called "division of responsibilities" between the affiliate and the trusted agency account rental service, combined with the highest quality preparation of creatives and other consumables. For example, if the affiliate runs traffic to e-commerce, it is worth presenting it as if the advertisement is being run on behalf of a reseller. If the white page or landing page cannot withstand automatic and manual verification, even the most trusted account will not save it.

The agency's trust protects the payments and the account structure, but the content and business model are the responsibility of the one who creates the entire marketing funnel, using various consumables (domains, the same landers/pre-landers, applications, cloaking). The agency account rental service covers the technical and financial aspects, as well as resolving disputed situations with Google Ads moderators. YeezyPay managers can even explain to live moderators why an unlicensed casino is being advertised from the account, but it is unlikely that anyone can explain this to the soulless algorithm.

Conclusion

Practice shows that the "I am an agency client" model continues to work in 70-80% of cases if you are not too arrogant. If you don't use overly aggressive creatives, add grayhat keywords to the campaign gradually, at least indirectly comply with the content requirements on the landing page, and maintain a moderate pace of scaling, Google may leave the advertiser alone for a long time, satisfied with the trust of the agency account. The main mistake of beginners is thinking that verification is requested upon account creation. But, unfortunately, now it is requested upon activity. The more suspicious this activity is, the faster the verification request will arrive.

Passing Advertiser Verification with a passport drawn in Photoshop or Nana Banana Pro is now practically impossible. Google's AI analyzes even the metadata of images. Therefore, the market is moving towards professionalization. Working through quality infrastructure allows you to relieve yourself of a huge part of the technical pain associated with billing and trust, but the fundamental task of legalizing your "advertising face" will still have to be solved comprehensively. Agency accounts with increased trust, which can be rented through the YeezyPay service, even under conditions of constant tightening of the advertising platform's rules, make it possible to launch campaigns without unnecessary worries, including in grayhat verticals.

Ignoring Google's new requirements is becoming more difficult, the deadlines for passing verification are strict—they usually give 30 days, after which impressions stop. Prepare in advance, because in this game, the winner is the one who has more trust and more reliable partners from the start.]]>
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Google originally created Performance Max precisely for the retail of physical goods shipped by mail. PMax works best with clean retail offers, online stores, or dropshipping marketplaces that feature a large inventory. The algorithm requires extensive data and clear signals, and in e-commerce, the data feed serves as this primary signal. The higher the quality and detail of the feed (images, titles, prices, availability), the easier the algorithm optimizes and finds buyers.

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However, even in white-hat retail, the main roadblock often occurs during the scaling phase. When an affiliate finds a working offer and begins scaling the budget, Google either places limits on the new account or simply cannot spend the required volume due to the profile's low trust score. Many experienced affiliates have long bypassed this "bottleneck" by launching campaigns directly from agency accounts. By linking their Gmail accounts to the agency accounts provided by the YeezyPay service, affiliates gain the ability to work with ad cabinets that have no daily spend limits and benefit from a generally more lenient attitude from moderation, even for campaigns with offers from gray verticals. In the case of e-commerce, scaling a successful bundle can happen almost instantaneously while the trend is hot, rather than waiting weeks for the algorithm to "allow" spending more than $100 per day. Although Google, as a business, benefits the more an advertiser spends, the algorithms approach the issue of spend limits with particular caution.

Overall, in the retail niche, PMax covers all placements: from product listings in Search to YouTube and Gmail, eliminating the need to create a multitude of separate campaigns. The key here is not to interfere with the algorithm and aim to feed it the broadest possible audience from the start. Google itself recommends allowing six weeks for the algorithm to learn, but if you assist it in this process, you can save a significant portion of your budget.

Grayhat Nutra

The situation is more complicated with nutra. PMax is a highly visual format. It demands images and videos for YouTube and the Display Network (GDN). In nutra, especially with "before/after" approaches or aggressive promises, any visual creative inevitably increases the risk of a campaign ban or freeze. Since Performance Max requires a considerable amount of time to learn, it needs to accumulate 30–50 conversions to build an approximate portrait of the target audience. With self-registered accounts, campaigns often get banned faster than the algorithm can even complete its learning phase.

Nevertheless, experienced buyers have long adapted their approaches using pre-landers and "whitened" creatives even for PMax. Furthermore, utilizing asset groups segmented for different audience approaches helps with long-term profitability. Simply put, the affiliate doesn't dump everything together but splits their creative strategies.

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Since moderation in PMax is automated and quite strict, the ban problem is particularly acute for those running campaigns for various dietary supplements (nutra). Standard farmed accounts are more frequently flagged for document verification or completely frozen at the slightest algorithm trigger. Trusted agency accounts, which you can access through YeezyPay, partially alleviate this issue. Such ad cabinets inherently possess a higher degree of trust from the system, resulting in milder moderation and fewer fatal blocks caused by random algorithm triggers. Essentially, this loophole in Google Ads' loyalty provides the affiliate with the necessary time for PMax to learn. Affiliates using standard, even slightly warmed-up accounts rarely have this luxury.

Gambling and Betting

Traditionally, iGaming is run through Search or UAC (Universal App Campaigns), directing traffic to apps. PMax's advantage over UAC is its superior performance in retargeting and finding lookalike audiences based on data, but as a standalone tool for high-risk verticals like gambling and betting, it is practically not used. There are several justifications for this:

- Since stable conversions are difficult to track via API in iGaming, and without it, PMax cannot scale and will, at best, dump traffic into the Display Network. In the worst-case scenario, it might start driving bots and non-target traffic.
- Unlike UAC, PMax practically analyzes content much more aggressively and faster identifies a potential link between the campaign and prohibited verticals.
- There is no control over keywords, bid dynamics, or placements. In the Gambling and betting niches, it is critically important for the affiliate to control these variables, especially when working with branded keywords targeting a specific GEO. PMax replaces all of this with automation, often delivering expensive, non-target traffic.
- Self-restriction of risky campaigns. The tool is structured such that if the perceived risk of violating platform rules exceeds a certain value set by Google, it operates on the principle of "better not show the ad at all than block the campaign." Consequently, a campaign is formally "Active" with an "Eligible" status but receives 0–10 impressions per day.

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Despite all the pitfalls and complications, there are affiliates who successfully run iGaming campaigns at a profit, utilizing funnels structured as "Quiz → Content → Soft Pre-lander → Lander or App." They position PMax only at the top of the funnel, often mixing its traffic with Search and Discovery traffic.

Observation from YeezyPay: In Tier-3 GEOs of the Asia-Pacific region, LatAm, and Africa (South Africa, Nigeria), algorithms are, for some reason, less severe in restricting gambling campaigns. Conversely, PMax shows very mediocre results with gambling campaigns in Tier-1.

Overall, running iGaming with Performance Max is possible, but it is best used as an auxiliary channel and a complement to other formats, and only when a data pool on the target audience is already available.

Lead Generation (Finance, Crypto, Services)

On the one hand, massive amounts of money circulate in niches like insurance, legal services, or crypto investments. At the same time, Performance Max is notorious for pumping in fraudulent traffic and bots that deplete the budget and fill forms with garbage data.

For those running Crypto or Forex campaigns, PMax can deliver excellent volume, but traffic will need to be rigorously filtered, and offline conversions must be used. In short, you need to upload data back to Google about which leads actually answered the call and made a deposit. Without this, the algorithm will train on bots and drain the budget.

Here, we should recall another pain point of working with gray verticals that operate on the brink of violating platform rules—payments. Serious budgets are required here, and spending needs to be high and fast. Not only virtual cards but even physical cards are often flagged, transactions are blocked as suspicious, and Google issues a ban for Risk Payment, paralyzing operations.

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Today, changing payment logistics has become one of the effective ways to minimize such problems. With YeezyPay, you can fund your balance with cryptocurrency, completely eliminating issues with bank cards and fund holds. The affiliate simply runs traffic, and the service handles the technical side of interaction with Google's billing. This allows for maintaining high spends in competitive niches for longer periods.

Why Audience Signals Are Critically Important for PMax

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Regardless of whether an affiliate is running clean retail or gray crypto, the success of PMax in 2025 hinges on audience signals. Simply put, you cannot just launch a broad campaign and expect a miracle. The affiliate or buyer must guide the algorithm on who to search for.

The following signals work best:

- Customer Lists (Customer Match): The first and most important signal can be uploaded databases of phone numbers and emails of those who have already purchased or deposited.
- Custom Segments based on Search Queries: Whenever possible, add the keywords that your clients used in Search so that PMax searches for users with the same intent.
- Website Visitors of Competitors: Create and add a segment of people who visited the URLs of direct competitors.

If this data is unavailable at the start, PMax will drain the budget on testing. Therefore, the optimal strategy in this case is to first run Search or YouTube campaigns to collect data, and only then launch Performance Max based on the accumulated statistics.

When PMax Definitely Won't Work

There are situations where this format is simply useless. If you have a very small budget (less than $50–$100 per day), PMax won't be able to learn quickly. It needs data volume. If you receive 1–2 conversions per day, the campaign will take several months to exit the learning phase. Moreover, its performance will be unstable.

PMax is also unsuitable for offers with very narrow targeting, such as only men aged 45+ from a specific city interested in elite travel. The PMax algorithm strives for reach expansion and will constantly attempt to push beyond set limits, showing ads in non-target placements, such as in simple mobile games. In such cases, good old manual targeting in Search or Display works more reliably.

Conclusion

Performance Max, for working not only with gray but also white niches, can hardly be called a completely independent format. It is rather a powerful campaign amplifier for those who already know how to work with data. It is ideal for e-commerce and for scaling campaigns in any other niche. However, for working in Nutra and Crypto, for example, it requires trusted agency accounts and rigorous lead filtering. The main thing is not to give the algorithm complete freedom. You must feed it quality audience signals, use a reliable account infrastructure, and always monitor the quality of incoming traffic. Only then can you compel this "black box" to generate profit, not losses.]]>
Let’s break down where PMax can genuinely prove to be a top-tier solution and where it's better to stick to classic Search campaigns or other formats.

E-commerce and Retail Products — PMax's Natural Habitat

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Regardless of whether an affiliate is running clean retail or gray crypto, the success of PMax in 2025 hinges on audience signals. Simply put, you cannot just launch a broad campaign and expect a miracle. The affiliate or buyer must guide the algorithm on who to search for.

The following signals work best:

- Customer Lists (Customer Match): The first and most important signal can be uploaded databases of phone numbers and emails of those who have already purchased or deposited.
- Custom Segments based on Search Queries: Whenever possible, add the keywords that your clients used in Search so that PMax searches for users with the same intent.
- Website Visitors of Competitors: Create and add a segment of people who visited the URLs of direct competitors.

If this data is unavailable at the start, PMax will drain the budget on testing. Therefore, the optimal strategy in this case is to first run Search or YouTube campaigns to collect data, and only then launch Performance Max based on the accumulated statistics.

When PMax Definitely Won't Work

There are situations where this format is simply useless. If you have a very small budget (less than $50–$100 per day), PMax won't be able to learn quickly. It needs data volume. If you receive 1–2 conversions per day, the campaign will take several months to exit the learning phase. Moreover, its performance will be unstable.

PMax is also unsuitable for offers with very narrow targeting, such as only men aged 45+ from a specific city interested in elite travel. The PMax algorithm strives for reach expansion and will constantly attempt to push beyond set limits, showing ads in non-target placements, such as in simple mobile games. In such cases, good old manual targeting in Search or Display works more reliably.

Conclusion

Performance Max, for working not only with gray but also white niches, can hardly be called a completely independent format. It is rather a powerful campaign amplifier for those who already know how to work with data. It is ideal for e-commerce and for scaling campaigns in any other niche. However, for working in Nutra and Crypto, for example, it requires trusted agency accounts and rigorous lead filtering. The main thing is not to give the algorithm complete freedom. You must feed it quality audience signals, use a reliable account infrastructure, and always monitor the quality of incoming traffic. Only then can you compel this "black box" to generate profit, not losses.]]> <![CDATA[How to Safely Scale a Winning Google Ads Campaign 10x Without Getting Banned]]> https://bestblackhatforum.com/Thread-How-to-Safely-Scale-a-Winning-Google-Ads-Campaign-10x-Without-Getting-Banned Tue, 04 Nov 2025 11:10:18 +0000 https://bestblackhatforum.com/Thread-How-to-Safely-Scale-a-Winning-Google-Ads-Campaign-10x-Without-Getting-Banned
But every experienced media buyer knows: in Google Ads, this kind of move can instantly kill your golden setup. Unlike social ad platforms, Google treats sudden budget spikes as a major red flag. In this article, the YeezyPay team — a provider of trusted Google Ads agency accounts — explains how to safely squeeze the most out of your winning campaign without triggering the system’s antifraud algorithms.

Why Google Freaks Out Over Sudden Budget Increases

You can’t completely eliminate the risk of bans when running grayhat verticals — but you can reduce it dramatically. To do that, you need to understand how Google’s antifraud algorithms actually work.

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For Google, any unusual activity equals potential risk — for both the platform and users.

Let’s take a simple example. Suppose your account has been running for two days with a $50 daily budget. On day three, you notice solid traffic and conversions, so you crank the budget up to $500.

From Google’s paranoid point of view, that’s not a smart scale-up — it’s a textbook scammer move. The system has learned this pattern over years of fighting carders and affiliates trying to quickly push restricted offers before detection. In a sense, affiliates themselves have trained Google’s antifraud AI to respond aggressively to sudden changes.

Risk Score and Account Trust Level

Every Google Ads account has its own invisible “trust score.” Google doesn’t publicly admit this, but most PPC specialists know it’s real. Even newly verified accounts that ran a couple of white-hat campaigns start with minimal trust.

Any sharp activity — adding a new payment method, changing billing details, or rapidly increasing spend — instantly hurts that risk score.

At best, Google pauses your campaign for manual review. In most cases, you’ll get banned for “suspicious payments.”

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Until your account builds enough history to look like a legitimate advertiser, scaling is basically walking through a minefield.

That’s why many media buying teams prefer to work through agency accounts from YeezyPay — they’re tied to long-standing agencies with a high trust rating and flexible spend limits. These accounts are far less sensitive to budget changes, giving affiliates room for bold and fast scaling without alerting Google’s bots.

The “Boiling Frog” Strategy for Scaling Campaigns

If you’re working with self-registered or newly purchased accounts, the key to safe scaling is gradual growth. Forget about multiplying your daily budget by 10 overnight. The goal is to make your campaign’s growth look organic to Google.

Experienced affiliates recommend never increasing your daily budget by more than 20–30% at a time. If your daily spend is $100, move to $120–$130, then let it run for at least 24 hours. This gives Google’s algorithm time to readjust and stabilize delivery.

Google itself suggests not making any campaign edits for 5–7 days for optimal learning. Constant tweaking is a red flag that resets the algorithm’s learning phase — another trigger for bans.

In some cases, optimization can take weeks — even if the combo is profitable.

To speed things up safely, you need deep expertise. But even the best buyers get random bans during Google’s stricter moderation waves. That’s why having access to high-trust agency accounts makes all the difference.

YeezyPay’s team, for example, communicates directly with Google support daily and knows which scaling pace is safest for each vertical and GEO. This saves affiliates time, budget, and nerves.

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Horizontal Scaling: Duplicating What Works

At some point, vertical scaling (simply raising the budget) hits a ceiling. CPCs go up, conversions drop, and your account attracts too much manual scrutiny.

That’s when horizontal scaling comes into play — duplicating the winning setup across multiple campaigns or even accounts.

Facebook affiliates have long used this strategy as their main scaling method: spreading risk instead of going all-in on one campaign.

If one campaign freezes or gets banned, others keep running.

The challenge, however, is finding unlinked, quality accounts. The options are limited:
- Create them manually — endless headache with proxies, billing, and warm-up. One small mistake can wipe out your entire network.

- Buy from sellers or shops — a lottery at best. It might work for a few hours, then die in a ban with zero refund.

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The smarter route is renting agency accounts that already have a proven trust history.

With YeezyPay, affiliates can link multiple Gmail profiles under one trusted agency account, split their budget between them, and scale safely.

If an account gets banned beyond recovery, remaining balance can be easily transferred to a new account — directly from your dashboard. Funding options include both card and crypto.

Final Thoughts

When it comes to scaling winning campaigns in Google Ads, luck isn’t a strategy. Success depends on a clear understanding of how the system works — and patience.

Avoid sudden or suspicious actions inside your account. If you’re working with self-registered or low-trust accounts, scale slowly and let the algorithm adapt. Once you hit the limit, move to horizontal scaling.

But the foundation of safe 10x growth always comes down to one thing: account trust. In 2025, with Google Ads tightening compliance, trying to scale fast without a trusted base will almost certainly end in bans and lost profit.

YeezyPay’s Google Ads agency accounts help thousands of affiliates minimize these risks — letting them scale big, fast, and without fear.]]>
But every experienced media buyer knows: in Google Ads, this kind of move can instantly kill your golden setup. Unlike social ad platforms, Google treats sudden budget spikes as a major red flag. In this article, the YeezyPay team — a provider of trusted Google Ads agency accounts — explains how to safely squeeze the most out of your winning campaign without triggering the system’s antifraud algorithms.

Why Google Freaks Out Over Sudden Budget Increases

You can’t completely eliminate the risk of bans when running grayhat verticals — but you can reduce it dramatically. To do that, you need to understand how Google’s antifraud algorithms actually work.

[Image: image3.png]

The smarter route is renting agency accounts that already have a proven trust history.

With YeezyPay, affiliates can link multiple Gmail profiles under one trusted agency account, split their budget between them, and scale safely.

If an account gets banned beyond recovery, remaining balance can be easily transferred to a new account — directly from your dashboard. Funding options include both card and crypto.

Final Thoughts

When it comes to scaling winning campaigns in Google Ads, luck isn’t a strategy. Success depends on a clear understanding of how the system works — and patience.

Avoid sudden or suspicious actions inside your account. If you’re working with self-registered or low-trust accounts, scale slowly and let the algorithm adapt. Once you hit the limit, move to horizontal scaling.

But the foundation of safe 10x growth always comes down to one thing: account trust. In 2025, with Google Ads tightening compliance, trying to scale fast without a trusted base will almost certainly end in bans and lost profit.

YeezyPay’s Google Ads agency accounts help thousands of affiliates minimize these risks — letting them scale big, fast, and without fear.]]> <![CDATA[Sometimes Manual Is Better: When to Disable Automated Google Ads Strategies]]> https://bestblackhatforum.com/Thread-Sometimes-Manual-Is-Better-When-to-Disable-Automated-Google-Ads-Strategies Thu, 16 Oct 2025 13:04:58 +0000 https://bestblackhatforum.com/Thread-Sometimes-Manual-Is-Better-When-to-Disable-Automated-Google-Ads-Strategies
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Google Ads offers several automated bidding strategies, depending on what you’re trying to achieve:

- Maximum clicks: Google automatically sets your bids to get you as many clicks as possible within your budget.
- Target Impression Share: Google gets your ad to appear according to your desired impression share percentage. It’s a good option if your goal is visibility rather than clicks or conversions.
- Target CPA (Cost Per Acquisition): Through this strategy, Google sets bids to get you the maximum number of conversions at your chosen cost per action. It is a great option if you want to focus on results instead of clicks.
- Maximum Conversions: Google optimizes bids to generate the most conversions possible within your daily budget, regardless of cost per conversion.
- Maximum Conversions Value: Google focuses on getting conversions with the highest total value within your budget.

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But automated bidding isn't always the best choice. The team at YeezyPay, a service that connects you to reliable Google Ads agency accounts, has observed that automatic bidding can sometimes lead to loss of control, budget overruns, or inconsistent results. To determine when it's best to manage your bids manually, you first need to understand how automated bidding actually works.

How Automated Bidding Works

The algorithm focuses on your business goal (for example, maximize conversions, target CPA, maximize clicks) and attempts to achieve it within your budget and targeting constraints. Here's how automated bidding works:

- You choose a bidding strategy (for example, Target CPA - "target cost per conversion").
- Google analyzes the parameters of each click and determines which generated leads and which did not.
- For each impression, the system predicts the likelihood of conversion and decides whether to raise or lower the bid to win the auction.
- Bids can change frequently; two identical search queries can have different bids depending on device, location, or time of day.
After you turn on autobidding, Google will warn you about a learning phase, which lasts 5 days to 2 weeks. During this time, the algorithm is figuring out the best bid amounts, so your results will fluctuate.

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Key things to know about automated bidding:

- The algorithm needs data to work well. Having sufficient data, ideally at least 30 conversions over 30 days, is necessary for stable Target CPA or Target ROAS performance.
- Automated bidding doesn't rely on all important data. It is based on clicks and conversions alone and not things like profit margins on different products.
- It won't necessarily save you money. The goal is to hit your target, and not to reduce costs, so your CPC might actually increase.

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With manual CPC, you decide exactly how much you’re willing to pay per click. It gives you complete control over your ad spend and bidding strategy. Therefore, in some situations, manual bidding works better than automatic bidding.

When Initiating New Campaigns

When you’re launching a new campaign or testing new keywords, ads, or landing pages, automated bidding doesn’t have any past data to learn from. Without that history, Google’s system can’t accurately predict which bids will get you good conversions or results.

That’s why most advertising experts suggest starting with manual bidding for the first 30 days or so. It gives you time to gather enough data and understand how your campaign performs before switching to automation.

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When Managing Limited Budgets

Google's automated strategies need time and budget to work. The system has to test different keywords, audiences, and bids to learn what works. This learning phase isn't instant. So if you're planning to spend just $50-$100 on a campaign, it’s best to avoid automated bidding.
There's a good chance autobidding will burn through your first $100, $200, or even $300 without getting you results. Manual bidding will save you money early on while you're still learning what works.

When You Have No Existing Data

For example, say you want to promote crypto offers in Poland, something you've never done before. What should your target CPA be? Which keywords should you use?

If you just throw in a random CPA hoping for quick profits, chances are your ads won’t get many impressions. Automated bidding will try to stay within that low target cost, which often means fewer people see your ads.

A smarter move is to start with manual bidding. That way, you can gather real data about conversion costs and your expected ROAS for that market, set of keywords, and offer.

Once you’ve got that data, you can switch to automated bidding with more accurate CPA or ROAS targets, and get more converting traffic as a result.

In Fast Moving Markets

In some niches, demand and competition for keywords can swing wildly, sometimes multiple times a day. This is especially true for betting and trading, which react heavily to news. One minute, a keyword is delivering solid traffic, then competitors flood in with ads, and your impressions tank. Or the opposite happens: someone pauses their campaigns, competition drops, and your traffic suddenly spikes.

If your niche experiences these swings, stick with manual bidding. Automated strategies often lag behind these changes. By the time you need to lower bids, the system might still be raising them.

When You're Already Winning with Manual Bidding

Manual bidding can deliver excellent profits, especially when you run ads through trusted accounts like Google Ads agency accounts from YeezyPay. Agency accounts give you the flexibility and reliability needed to make manual bidding work at its best.

Manual bidding works so well for experienced advertisers because they know their business better than any AI. They understand exactly which keywords convert, what times work best, and how much each click is worth. When these pros try switching to automated bidding, they often can't match their manual campaign performance.
Don't mess with what's already working. If you want to test automated bidding, create a separate campaign and experiment there.

Conclusion

Google Ads automated bidding strategies are convenient and efficient, but it's not always the right move. Automated bidding works well when you have enough data, a steady budget, and clear targets like CPA, ROAS, or traffic goals.

For affiliate marketers and advertisers, manual bidding often performs better. It gives you more control over your budget, helps you react quickly to changes, and can lead to some really impressive results.

The best approach is usually a mix of both methods. Start with manual bidding to test your ideas, gather real data, and protect your budget. Once you’ve got enough insights, gradually shift to automated strategies. This hybrid method gives you control of manual bidding during the risky early phase, then leverages automation's scaling power once you have solid data.

Note: Constantly changing bids manually can trigger account suspensions. Google flags frequent bid changes as suspicious activity. This is where Google Ads agency accounts from YeezyPay become essential. These trusted agency accounts have established credibility with Google, so you can adjust bids freely without raising red flags. Accounts from YeezyPay are built to handle the active management that performance marketing requires. They won't get frozen from the optimization activity that often triggers flags on regular accounts.]]>
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Also, Google periodically re-checks active ads to ensure they comply with its policies. Some ads may fail these re-checks due to issues like policy violations or discrepancies. When this happens, Google doesn’t just check the specific ad or campaign; it analyzes the entire ad account. As a result, all ads on the account may be paused, leading to a drop in impressions. A similar issue can occur when you launch new ads that remain in moderation for a long period. Prolonged moderation often indicates that Google is not only reviewing the new creative and its associated landing page but also the account and other active campaigns.

How to identify this situation? Start by checking if any of your ads are stuck in moderation. If none are, review all your current ads to see if any have been rejected. A rejected ad is likely the cause of the drop in impressions.

What to do? Delete any rejected ad creatives and pause the affected campaigns. Then, wait 1–2 days for Google to complete its review. After this period, duplicate the paused campaigns and relaunch them as new campaigns to regain impressions.

What not to do? Avoid rushing to launch multiple new campaigns in the same ad account or after creating a new ad account. Doing this triggers algorithms and increases the risk of account suspension. If your accounts frequently face bans and you lack a reliable system for creating new ones after suspensions, consider using trusted agency accounts from YeezyPay. These accounts are less likely to be banned, therefore providing a more stable advertising environment.

Low Quality Score

This issue is common in search advertising campaigns. Google’s Quality Score measures how your ad compares to competitors’ ads targeting the same keywords and audience. If competitors launch more effective ads for your target audience — perhaps with better ad copy, higher relevance, or stronger landing pages — the average Quality Score of ads for that audience rises. Consequently, your ad’s Quality Score may drop relative to this higher standard, therefore reducing your ad’s visibility in the auction and causing a decline in impressions.

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This Quality Score drop also affects Performance Max (PMAX) campaigns, even though the score isn’t explicitly displayed for these campaigns. Google still calculates Quality Score internally and uses it to determine ad placement in auctions. You can detect a drop in your ad’s quality through indirect signs, such as an increase in Cost Per Click (CPC), unexpected budget overspending, or a decrease in Return on Ad Spend (ROAS).

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What to do? For search campaigns, revise your ad headlines and text to make them more engaging and relevant to the audience’s search intent. Test new keywords by running ads on them to identify better-performing options. For Google Display Network (GDN), Performance Max, video ads, or App Campaigns, test new creatives while keeping the same targeting settings to increase engagement. Also, in all cases, try to review your landing page for issues like slower loading times or a malfunctioning order form, as these can lower Quality Score and reduce impressions.

What not to do? Don’t waste your time trying to increase the budget, as this won’t solve the problem. Spending more money may lead to higher costs and lower profitability without increasing impressions.

Competition in your target audience segment has increased

Even if your Quality Score remains stable, a drop in impressions can result from increased competition. When multiple competitors target the same keywords or audience segment and some offer higher bids, Google Ads prioritizes their ads, pushing yours to the background.

How to identify this situation? Monitor your Impression Share, which shows the percentage of possible impressions your ads are receiving. If this metric isn’t visible in your account statistics, enable it by going to the “Columns” section in your campaign settings and selecting the Impression Share column (sometimes listed as "Percentage of Impressions Received").

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A very low Impression Share or a sharp drop compared to recent values indicates that competitors are outbidding or outperforming you. You can also look for indirect signs of increased competition, such as a drop in impressions while Click-Through Rate (CTR) and lead conversions remain steady, suggesting your product is still in demand among the target audience.

What to do? For search campaigns, consider increasing bids, but only for your most profitable keywords. High-quality ads and a trusted account can help regain impressions for these keywords. Additionally, try testing new keywords that competitors may not be targeting and run similar ads on them to capture untapped traffic. For other campaign types, like Performance Max or video ads, test new creatives or alternative targeting strategies.

What not to do? Once again, avoid increasing bids in this situation because it won’t restore impressions.

Conversion target not met.

Many experienced affiliates use Performance Max (PMAX) campaigns to maximize reach and conversions across Google platforms (Search, YouTube, etc.). These campaigns require setting a Target Cost Per Action (CPA), which is the desired cost per lead or conversion.

Once this has been set, Google will aim to deliver leads at this cost. But if the actual cost per lead is higher than the target — or if you get no conversions at all — the system may pause the ad or the entire campaign to avoid wasting your budget on the campaign since it's not effective in their eyes.

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How to identify this situation? Compare your Target CPA with the actual cost per lead. If the actual cost is much higher or conversions are absent, this is likely why impressions have dropped.

What to Do? First, avoid setting an unrealistically low Target CPA. For example, if $50 per lead is acceptable, don’t set a target of $5–$10, as this may be unachievable in your niche.

Second, replace outdated or underperforming creatives, as users may have grown tired of them, leading to higher costs.

Third, if you’re using a new account, Google’s algorithms may lack enough data to optimize for your product. Start with search campaigns to collect initial conversion data, then transition to PMAX for broader reach.

Audience burnout

Audience burnout happens when most of your target audience has already purchased your product or service, leaving only uninterested users or those fatigued by your ads. This is common when targeting a very narrow audience segment or using low-frequency keywords, resulting in an exhausted audience pool.

How to Check? During campaign setup, Google displays the estimated audience size, which you can adjust by modifying targeting settings. This information is also available in campaign lists after setup.

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If your audience reach is limited to a few thousand or tens of thousands of users, it’s likely to exhaust quickly. As users stop responding to your campaigns, Google’s algorithms detect this lack of engagement and reduce impressions.

What to Do? Plan campaigns to target the broadest possible audience within reasonable limits to avoid early burnout. If your current audience is exhausted, create a new campaign targeting different segments. A simple approach is to target a similar audience based on users who previously visited your landing page and performed desired actions, such as making a purchase or filling out a form.

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Conclusion

Typically, a drop in impressions affects only a single ad or campaign, and standard solutions can resolve the issue — such as adjusting targeting settings, using new ad creatives, or testing different keywords. However, when all campaigns and ad creatives experience a simultaneous drop in impressions, the likely cause is a manual account review by Google. In such cases, not only individual campaigns but the entire advertising account may be at risk.

If you notice a synchronized drop in impressions across all your ads, be prepared with backup Google accounts to continue advertising. To avoid all this stress, it’s better to use trusted Google Ads agency accounts like those provided by YeezyPay. These accounts have high trust levels and are less likely to be suspended for minor issues. Therefore, they’ll provide a more reliable and stable environment for running your campaigns.]]>
While some causes are reasonable and can be fixed quickly (like hitting budget limits or temporary technical issues), others can be confusing and need careful steps to resolve.

The expert team at YeezyPay, a service that offers reliable Google Ads agency accounts, notes that there are a bunch of “lesser-known” reasons why ad impressions can suddenly drop. And all of these reasons can be tackled with the right strategies.
So in this article, we will explain the “lesser-known” reasons that lead to drops in ad impressions on Google Ads, show you how to identify them, and outline steps that affiliates can take to get their campaigns back on track.

Account checks

The most common reason for a sudden drop in impressions is that Google is conducting a manual review of your account. During this period, a Google employee analyzes and checks your account details, and it’s normal for impressions to drop or get paused completely.

Reviews like this are often triggered by new rejected ads or ad campaigns in your account.

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Conclusion

Typically, a drop in impressions affects only a single ad or campaign, and standard solutions can resolve the issue — such as adjusting targeting settings, using new ad creatives, or testing different keywords. However, when all campaigns and ad creatives experience a simultaneous drop in impressions, the likely cause is a manual account review by Google. In such cases, not only individual campaigns but the entire advertising account may be at risk.

If you notice a synchronized drop in impressions across all your ads, be prepared with backup Google accounts to continue advertising. To avoid all this stress, it’s better to use trusted Google Ads agency accounts like those provided by YeezyPay. These accounts have high trust levels and are less likely to be suspended for minor issues. Therefore, they’ll provide a more reliable and stable environment for running your campaigns.]]> <![CDATA[What Is the Optimal Landing Page Loading Speed for Maximizing CR and Minimizing CPC in Google Ads?]]> https://bestblackhatforum.com/Thread-What-Is-the-Optimal-Landing-Page-Loading-Speed-for-Maximizing-CR-and-Minimizing-CPC-in-Google-Ads Wed, 03 Sep 2025 08:59:45 +0000 https://bestblackhatforum.com/Thread-What-Is-the-Optimal-Landing-Page-Loading-Speed-for-Maximizing-CR-and-Minimizing-CPC-in-Google-Ads BrowserStack, the average website loading speed in 2025 is 2.5 seconds for desktop devices and 8.6 seconds for mobile devices. However, the mobile figure is less relevant in regions with widespread 4G and Wi-Fi, such as Tier-1 countries (e.g., the US, UK, or Canada), where 53% of users refuse to wait more than 3 seconds for a website to load.

A study from Deloitte Digital highlights that improving loading speed by just 0.1 seconds can increase conversion rates by 40%.

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In addition to the overall CR growth of 40%, when the website loading time is increased by 0.1 seconds, specific characteristics also increase. For example, the website receives 5% more views and has an 8% higher conversion rate from mobile users.

But if speed were as important as they say, website owners would remove all non-text content to maximize speed, which isn’t happening. This raises the question: What is the optimal loading speed for maximizing CR and minimizing CPC? In this article, the YeezyPay team, a service that provides access to trusted Google Ads agency accounts, will provide a clear, detailed answer to this question based on Google’s recommendations, research, affiliate experiences, and insights from our own experience.

What website loading speed is recommended by Google itself?

Google Ads uses a metric called Quality Score to determine an advertiser’s position in the ad auction and the cost per click. According to data from the WordStream media outlet, a Quality Score of 1 can increase CPC by four times, while a score of 10 can reduce it by 50%.

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And according to Google, the quality score is calculated from the final value of three different parameters:

- Expected CTR — a parameter that indicates the likelihood that users will click on an ad, based on its content and how well it matches the user’s search intent.
- Ad relevance — a parameter by which Google determines how closely the ad aligns with the user’s search query, location, and personal data, ensuring it meets their needs.
- Landing Page Quality — a parameter that shows Google Ads how useful, relevant, and user-friendly your landing page is, including its content, navigation, and technical performance.

The last point should be discussed in more detail. The Landing Page Quality factor is closely tied to Core Web Vitals, a set of metrics that measure user experience on a webpage, including its loading speed.

Google specifically recommends that the largest image or content element on a page (known as Largest Contentful Paint, or LCP) should load in 2.5 seconds or less. This effectively means the entire landing page should load within this timeframe to achieve optimal performance. If the loading speed exceeds 4 seconds, the Quality Score drops, leading to a higher CPC, as Google considers the page less user-friendly and less likely to satisfy users.

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If loading speed exceeds 4 seconds, Quality Score drops, and cost per click increases.

Therefore, to improve Quality Score and achieve a lower CPC, affiliates should aim to keep their landing page speed in the “green zone” (2.5 seconds or faster).

However, Google’s algorithms don’t automatically detect speed improvements. For the system to recognize a faster page, user behavior must reflect the change, such as increased engagement, longer time spent on the website, or more conversions, which can take weeks to register.

Affiliates using Google Ads agency accounts from YeezyPay can accelerate this process by leveraging the unlimited daily ad spend perk to drive a lot of traffic to the landing page. Doing this increases both Expected CTR and Landing Page Quality, potentially raising the Quality Score in just a few days.

What psychology research says about preferred website loading speed

Psychological research introduces the concept of “user flow,” which describes the optimal state where users feel comfortable, engaged, and trusting while interacting with a website.

While faster loading times are generally better, there’s a “green zone” for website speed, approximately 1.5 to 2 seconds, where users are most likely to trust and engage with a website.

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According to research done by Neil Patel, 47% of users surveyed consider this range ideal. If a page loads faster than 1 second, users may perceive it as empty or untrustworthy, suspecting it lacks substance or is a low-quality website. If it takes longer than 2 seconds, users are more likely to leave, finding the wait frustrating and losing interest.

Interestingly, users often perceive loading times as slower than they actually are, especially for pages taking 3 seconds or more, exaggerating the delay by about 1.5–2 seconds in their minds.

So just by keeping landing page speed within the 1.5–2-second range, affiliates can align with this “user flow,” increasing CR by creating a seamless and trustworthy experience. This improved user engagement signals to Google’s algorithms that the page is high-quality, which boosts Quality Score and reduces CPC.

What do affiliates say about preferred website loading speed, and in which situations does speed not matter?

The opinion of affiliates is contradictory: everyone admits that website speed is important, but not everyone puts it first. An experienced affiliate in a forum discussion recommends maintaining a PageSpeed Insights score of 90+, which corresponds to Google’s 2.5-second-or-less benchmark for loading the largest content element.

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According to this user, the importance of speed increases in highly competitive niches.

However, some affiliates highlight cases where loading speed is less critical:

- High-Quality websites: A well-designed website with engaging content can still perform well even if its speed is slightly slower. For example, a visually appealing landing page with strong branding and clear value propositions can retain users despite a load time slightly above 2.5 seconds. As one affiliate noted, “A website can be fast and fail, or slow and successful, but you still can’t ignore speed entirely.”

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- Trusted Brands: Another similar case is large, reputable corporations like Amazon, eBay, or licensed casinos (e.g., Mohegan Sun), often have inherently high Quality Scores due to their established reputation and trust with Google. Affiliates promoting these brands, such as linking directly to a product page on Amazon, may not need to prioritize speed as much, as the brand’s authority compensates for minor performance issues.

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The affiliate shares that while smaller players are thinking about speed, large ones can push through Quality Score simply by virtue of their name.

However, for affiliates working with their own landing pages, especially in grayhat niches like gambling or crypto, speed becomes a critical factor.

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One affiliate shared that after optimizing their landing page to improve Core Web Vitals, their CPC dropped by 15% and CPM by 20%, demonstrating the direct impact of speed on ad costs.

However, using custom landing pages often comes with a challenge: they are typically hosted on shared servers, which split resources among thousands of websites. When traffic increases, these servers may struggle, slowing down the website and hurting performance. Google Ads agency accounts from YeezyPay can help by allowing affiliates to distribute their budget across multiple landing pages or mirror websites, ensuring traffic isn’t lost if one server fails.

Results + recommendations for increasing website loading speed

Indeed, the CR and CPC indicators in Google Ads are affected by a decrease in speed from 4 seconds or more to 2.5 seconds or less, and if the website loads in 1.5-2 seconds, the CR will increase directly. After that, acceleration is no longer important: users will not notice the difference between 1.4 and 1.5 seconds, and Google will not take it into account at all.

Here is a small checklist with tools that will help your website load faster. This is nothing more than a short list of recommendations that have always worked: if you know about them, you can easily raise your Quality Score:

- Convert images from JPG and PNG to WebP: PNG is generally not recommended due to its high size.
- Compress images to the minimum acceptable quality.
- Use tools like Lazy Loading and JS and CSS minification.
- Keep your websites on CDN servers.
- Set up caching on both the server and client sides.
- Enable data compression on the server.
- Optimize your fonts and compress them, for example, with a tool like Font Squirrel.
- Be sure to analyze the HTML code of the website and remove all unnecessary parts from it.

Usually, this work requires programming skills, and also a lot of your precious time to carry it out. The website will naturally not work during this time, and you will lose possible ROI percentages. Google Ads agency accounts allow you to more likely bypass this problem due to very high trust: you can send traffic to a mirror website while you improve its original. Google Ads will more likely approve the advertising campaign with a new landing page.]]> BrowserStack, the average website loading speed in 2025 is 2.5 seconds for desktop devices and 8.6 seconds for mobile devices. However, the mobile figure is less relevant in regions with widespread 4G and Wi-Fi, such as Tier-1 countries (e.g., the US, UK, or Canada), where 53% of users refuse to wait more than 3 seconds for a website to load.

A study from Deloitte Digital highlights that improving loading speed by just 0.1 seconds can increase conversion rates by 40%.

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One affiliate shared that after optimizing their landing page to improve Core Web Vitals, their CPC dropped by 15% and CPM by 20%, demonstrating the direct impact of speed on ad costs.

However, using custom landing pages often comes with a challenge: they are typically hosted on shared servers, which split resources among thousands of websites. When traffic increases, these servers may struggle, slowing down the website and hurting performance. Google Ads agency accounts from YeezyPay can help by allowing affiliates to distribute their budget across multiple landing pages or mirror websites, ensuring traffic isn’t lost if one server fails.

Results + recommendations for increasing website loading speed

Indeed, the CR and CPC indicators in Google Ads are affected by a decrease in speed from 4 seconds or more to 2.5 seconds or less, and if the website loads in 1.5-2 seconds, the CR will increase directly. After that, acceleration is no longer important: users will not notice the difference between 1.4 and 1.5 seconds, and Google will not take it into account at all.

Here is a small checklist with tools that will help your website load faster. This is nothing more than a short list of recommendations that have always worked: if you know about them, you can easily raise your Quality Score:

- Convert images from JPG and PNG to WebP: PNG is generally not recommended due to its high size.
- Compress images to the minimum acceptable quality.
- Use tools like Lazy Loading and JS and CSS minification.
- Keep your websites on CDN servers.
- Set up caching on both the server and client sides.
- Enable data compression on the server.
- Optimize your fonts and compress them, for example, with a tool like Font Squirrel.
- Be sure to analyze the HTML code of the website and remove all unnecessary parts from it.

Usually, this work requires programming skills, and also a lot of your precious time to carry it out. The website will naturally not work during this time, and you will lose possible ROI percentages. Google Ads agency accounts allow you to more likely bypass this problem due to very high trust: you can send traffic to a mirror website while you improve its original. Google Ads will more likely approve the advertising campaign with a new landing page.]]> <![CDATA[The Myth of the “Best Hours and Days to Run Ads”: Does Google Know the Best Time to Serve Your Ads?]]> https://bestblackhatforum.com/Thread-The-Myth-of-the-%E2%80%9CBest-Hours-and-Days-to-Run-Ads%E2%80%9D-Does-Google-Know-the-Best-Time-to-Serve-Your-Ads Tue, 26 Aug 2025 12:40:32 +0000 https://bestblackhatforum.com/Thread-The-Myth-of-the-%E2%80%9CBest-Hours-and-Days-to-Run-Ads%E2%80%9D-Does-Google-Know-the-Best-Time-to-Serve-Your-Ads
Some affiliates even visit forums to ask whether it is possible to increase conversions if they correctly set up the ad display schedule.

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This affiliate shared that he observed that his campaign performs poorly on weekends and wonders if pausing it during those days could save their budget.

In fact, for several years now, Google has been automating its ad serving algorithms to such a degree that manually tweaking ad schedules is often unnecessary and can even affect campaign performance.

So in this article, the YeezyPay team, a service that provides access to trusted Google Ads agency accounts, will explain in clear, detailed terms how Google’s algorithms work, why manually setting ad schedules is usually a losing strategy, and how affiliates can use these algorithms to their advantage.

Google’s Smart Bidding Algorithms Explained: Should You Trust Them?

Google Ads relies on a technology called Smart Bidding to automatically optimize ad campaigns. This includes the scheduling of ad creatives based on time and days.

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According to Google’s official technical manuals, Smart Bidding uses machine learning to analyze millions of data points and adjust campaign parameters, such as bid amounts, targeting, and display times, to maximize CR and secure the most cost-effective bids. Google’s “Bid Adjustments” section explains that Smart Bidding dynamically tailors ad delivery to achieve the best possible results, considering factors like user behavior, location, device type, and search intent.

Google itself claims that the Smart Bidding system is much more effective than manual settings. The algorithm takes into account millions of different parameters and, for example, sets the display time taking them all into account.

However, this system also has a drawback. If you stop the campaign, the algorithms will have to be trained again. Experienced affiliates on BHW frequently warn against pausing campaigns, as this causes the algorithm to lose data collected from user interactions.

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An affiliate warned against pausing advertising campaigns, citing that the algorithms will lose the necessary data.

For this reason, affiliates working with grayhat and blackhat niches cannot rely on algorithms if their account is poorly warmed up and lacks sufficient trust. Low-trust accounts are more likely to face ad campaign rejections or bans, which disrupt the algorithm’s ability to optimize campaigns. However, affiliates using trusted Google Ads agency accounts barely encounter any of these issues due to the accounts’ high trust levels. These accounts have a higher chance of campaign approval and a lower risk of bans, therefore allowing Smart Bidding to function more effectively.

In other words, Google technology automatically adjusts the time of ad display in such a way that it brings the highest CR rate and sets the most profitable bid. All you need is to have a consistent and stable campaign, which can allow the algorithm to optimize it for the best ad schedule.

How Google’s algorithms work in practice: Opinions and recommendations of affiliates

First of all, affiliates consistently point out that there are no universal “ideal hours” for running ads, as conversions are influenced by a combination of factors. For example, a user might see an ad in the afternoon but only make a purchase late at night. From the advertiser’s perspective, it might appear that nighttime ads drive conversions, leading them to avoid advertising during the day.

This perception is misleading and can negatively impact CR, as the daytime ad exposure may have been crucial to the eventual purchase. Unlike humans, Google’s algorithms can track these intricate patterns across millions of data points, making automatic optimization more effective than manual adjustments.

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The factors of purchase eventually add up to a bigger picture that a person simply cannot track.

Since algorithms can process these factors, such as user behavior, search intent, device type, and location, automatic optimization generally delivers better results than manual scheduling.

[Image: image1.png]

An experienced affiliate on Black Hat World forum noted that, since 2024, combining Smart Bidding with Broad Match has consistently produced the best results.

Smart Bidding uses machine learning to adjust bids and targeting in real-time, while Broad Match expands the reach of ads to capture relevant searches. However, before going completely automated, affiliates recommend collecting at least 30 initial signals (for example, conversions).

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Affiliates recommend collecting at least 30-50 conversions manually over 30 days before switching to Smart Bidding. This will provide the algorithms with initial data.

Gathering this data can be time-consuming and risky, as low-trust accounts are vulnerable to bans or rejections during this period, especially in grayhat niches like gambling or crypto. Affiliates using Google Ads agency accounts from YeezyPay can overcome this challenge more efficiently. These accounts offer unlimited daily ad spend, enabling affiliates to drive significant traffic and collect conversions quickly, often within days rather than a month. Additionally, the high trust level of agency accounts reduces the risk of bans during this critical learning phase, ensuring the algorithm has strong data points to work with.

Some experienced affiliates also warn that Google’s algorithms aren’t always perfect. In cases where a campaign underperforms, for example, an affiliate reported zero CR on weekends, they advise against switching to manual scheduling. Instead, they recommend reducing the advertising budget to the minimum possible while keeping the campaign active. This approach preserves the algorithm’s learning data, saves money, and allows affiliates to troubleshoot campaign issues without starting from scratch.

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This strategy was suggested to the affiliate who was struggling with poor weekend performance.

Therefore, according to affiliates, the best approach is to trust Google’s algorithms and adopt the Smart Bidding + Broad Match strategy, provided that you let the algorithms train with sufficient initial data (30–50 conversions). Humans cannot accurately identify the ideal hours for running ads, but Google’s algorithms can, and they actively do so by analyzing user behavior and campaign performance in real-time.

Summary

There is no ideal time for running ads, and trying to find it can sometimes ruin the entire advertising campaign. Smart Bidding protects against this. The technology will often determine the display time for your advertising campaign itself, which will set you a satisfactory bid for each auction and bring the best audience; it is almost impossible to determine this manually. But again, it is important to help the algorithms in every possible way. You should put effort into increasing the Quality Score and contributing the necessary budget so that the advertising campaign can run consistently, without stopping, in order to train the algorithms. Using trusted agency accounts can help with this, both through unlimited daily spend and through their high trust level, which prevents them from getting banned frequently.]]>
Some affiliates even visit forums to ask whether it is possible to increase conversions if they correctly set up the ad display schedule.

[Image: image7.png]

This strategy was suggested to the affiliate who was struggling with poor weekend performance.

Therefore, according to affiliates, the best approach is to trust Google’s algorithms and adopt the Smart Bidding + Broad Match strategy, provided that you let the algorithms train with sufficient initial data (30–50 conversions). Humans cannot accurately identify the ideal hours for running ads, but Google’s algorithms can, and they actively do so by analyzing user behavior and campaign performance in real-time.

Summary

There is no ideal time for running ads, and trying to find it can sometimes ruin the entire advertising campaign. Smart Bidding protects against this. The technology will often determine the display time for your advertising campaign itself, which will set you a satisfactory bid for each auction and bring the best audience; it is almost impossible to determine this manually. But again, it is important to help the algorithms in every possible way. You should put effort into increasing the Quality Score and contributing the necessary budget so that the advertising campaign can run consistently, without stopping, in order to train the algorithms. Using trusted agency accounts can help with this, both through unlimited daily spend and through their high trust level, which prevents them from getting banned frequently.]]> <![CDATA[Why Google Bans Accounts for “Multiple Account Abuse” and How to Avoid It]]> https://bestblackhatforum.com/Thread-Why-Google-Bans-Accounts-for-%E2%80%9CMultiple-Account-Abuse%E2%80%9D-and-How-to-Avoid-It Thu, 14 Aug 2025 12:10:11 +0000 https://bestblackhatforum.com/Thread-Why-Google-Bans-Accounts-for-%E2%80%9CMultiple-Account-Abuse%E2%80%9D-and-How-to-Avoid-It
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As you can see in the screenshot above, this is a problem for affiliate marketers working with Google Ads. And it often catches them off guard.

So in today's article, we’ll explain in clear, detailed terms what causes bans for multiple account abuse, how Google detects them, and how affiliates can protect themselves from these bans. We’ll also explore why trusted Google Ads agency accounts offer the easiest solution to this problem, drawing on insights from Google’s policies and experienced affiliates on affiliate forums.

What is the Multiple Account Abuse Policy, and Why Does It Cause Unexpected Bans?

Google’s policies permit advertisers to create multiple accounts, particularly for businesses managing different stores or affiliates promoting multiple whitehat offers. The problems start when the system considers that an advertiser is using the multi-account feature to circumvent the platform's advertising policy.

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This is also confirmed by support, referring to internal regulations and documentation of Google Ads.

According to Google’s Advertising Policies, “Multiple Account Abuse” includes actions such as:

- Creating a new account after the previous one has been banned, as an attempt to continue running the same campaign that led to the ban.
- Creating multiple accounts in a short period of time. Google’s algorithm may interpret it as suspicious activity, similar to a [Reported by Members as SPAM THREAD] attack, and for this reason, the algorithm bans such accounts.
- Creating different accounts to promote the same offer at the same time.

It’s also important to note that Google has a complex algorithm that allows it to link different accounts to the same person. It checks everything from hardware and operating system to the version of browser plugins.

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Affiliates on forums point out that even behavioral patterns can flag a user

Specifically, Google finds out the owner of banned accounts through:

- Identical payment cards (this could even be if the cards are issued by the same bank, or there is a pattern in the time of account replenishment)
- IP address
- Operating system
- Device name
- Browser version
- Processor and video card
- Version of browser extensions
- Time zone
- Internet connection protocols and DNS
- Cookies you allow in your browser

These parameters collectively form a “digital fingerprint” — a unique identifier for each user’s device and behavior. Without special software, it is practically impossible to protect yourself from the "Multiple Account Abuse”. But there are still ways to avoid it: we will tell you more about them in the following section.

How to Protect Yourself from Being Banned for Multiple Account Abuse, and Is It Worth It?

First of all, it is important to remember that attempts to restore an account through appeals will most likely lead to nothing. Bypassing the rules through multiple accounts is a very serious violation: moderators may only show mercy if the restriction was made by mistake, for example, if a user quickly registered multiple accounts but didn’t actively use them.

Therefore, the best approach is to protect your accounts from being flagged in the first place. This can be done in two ways: registering a new account with an anti-detect browser and using Google Ads trusted agency accounts.

1. Registering new accounts with anti-detect browsers: Is it worth it?

The main recommendation found on forums is to use a new account in such a way that it cannot be linked to the previous account.

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An affiliate recommends using a new domain name, IP, email, and, of course, an anti-detect browser, so that it is impossible to track the violation of the rules.

This advice is common, but it has some drawbacks. First of all, you need to get a new account. If you register it yourself — which is not easy with Google's mechanisms for protecting against abuse — you will have to warm it up later. This can take from several days to a month, and during this time, the account will be unusable.

If you aim to buy an already warmed-up account, other problems arise: you still need to find a warmed-up account and a reliable seller. You will also need a separate payment system with a billing address that’s unrelated to you; you might also need to rent it, which often results in expenses of $40-50 per month. All this is equal to time and money that should be allocated to running advertising campaigns and generating profits.

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An affiliate says that you will need more than just a new, unrelated ad account, and that's already hard to come by.

Don't forget that you will also need a separate Google account: a new email, a new domain, and a new IP address. The account must appear active and legitimate (e.g., with a filled-in profile and regular activity), or it risks being flagged, which could lead to the suspension of both the Google account and the associated ad account.

To quickly change your digital fingerprint and emulate different devices or operating systems, an anti-detect browser is used. There are two main problems with it:

- It's not free
- It requires attention

So, even with this setup, you must update your digital fingerprint before each login, and proxies (which also require separate payment) must be refreshed for each browser session to maintain security. For maximum safety, the anti-detect browser should be run through virtualization software like VirtualBox to prevent Google from accessing deeper system details, such as BIOS information. This setup demands a lot of time, attention, and technical expertise, which can be overwhelming for affiliates.

In short, using new accounts with anti-detect browsers is risky, expensive, and time-consuming, resources that are critical for affiliates aiming for high return on investment (ROI).

2. Renting Google Ads trusted agency accounts

Agency accounts, also called MCC accounts, are created to manage several linked accounts. Basically, each agency account has several advantages:

- No risk of bans due to having multiple accounts: Agency accounts are explicitly created to manage multiple sub-accounts, so Google does not flag them for multiple account abuse. This is their intended purpose, making them inherently safe from this type of ban.
- High trust level: Agency accounts are well-warmed-up and have a high trust score with Google, significantly reducing the risk of bans, even when running campaigns in grayhat verticals like gambling or crypto.
- Risk diversification: If one linked account is banned, the agency account itself remains unaffected, allowing other campaigns to continue running. This diversification minimizes disruptions to your operations. You can easily continue your campaigns in another account.
- Priority support: Agency accounts receive priority treatment from Google’s support team, increasing the chances of resolving issues or successfully appealing bans, unlike individual accounts, which often face delays or rejections.

However, obtaining an agency account is challenging, as Google requires extensive documentation to verify that the user represents a legitimate agency.

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Forum discussions note that Google prioritizes official, verified agencies, and unverified agency accounts can be banned at any moment.

It is much easier to rent an agent account from a trusted service like YeezyPay. Affiliates can simply contact the service to gain access to a warmed-up, verified agency account with benefits like priority support and unlimited daily ad spend. This altogether will help you bypass the risks of multiple account abuse bans entirely.

Conclusion

Bans for multiple account abuse typically result from either affiliates not being informed well enough, ignorance, or poor campaign management.
Relying on a single ad account and then scrambling to warm up a new one after a ban is inefficient. It consumes time and money, which are two critical resources for achieving high ROI.

Instead, it is better to immediately choose a Google Ads trusted agency account from YeezyPay. Using these accounts will allow you to avoid bans for multiple account abuse and, at the same time, prevent a range of problems that unverified accounts face.]]> <![CDATA[How Does “Shadow Audit” Work in Google Ads: What the Platform Sees When You Test Creatives]]> https://bestblackhatforum.com/Thread-How-Does-%E2%80%9CShadow-Audit%E2%80%9D-Work-in-Google-Ads-What-the-Platform-Sees-When-You-Test-Creatives Thu, 07 Aug 2025 12:04:33 +0000 https://bestblackhatforum.com/Thread-How-Does-%E2%80%9CShadow-Audit%E2%80%9D-Work-in-Google-Ads-What-the-Platform-Sees-When-You-Test-Creatives
In this situation, everyone’s first thought can be: "What's wrong again? I did everything cleanly, the final ads and the landing pages are all whitehat!" But the truth is that Google evaluates more than what the advertiser serves "on the table". It sees the whole "kitchen" - every draft version, deleted ad, and even attempts to add a "grayhat" keyword to a pack of harmless keywords leading to whitehat.

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This is what is called the “shadow audit” — a continuous process in which algorithms form an account’s reputation long before the “Publish” button is pressed. In today’s article, we’ll figure out how the algorithm thinks and what affiliates should do with this knowledge.

The Digital Footprint: Deleted Doesn’t Mean Forgotten

The main mistake of many affiliate marketers is to think that if they delete an unsuccessful creative or a campaign with "grayhat" keywords, then the account is clean again. But the experience of hundreds and thousands of affiliates shows that this is a fundamentally wrong position. Each action inside the advertising account leaves an indelible digital trace, which accumulates and forms a general "trust" or, if you like, "karma" of the account. The process is in many ways similar to the credit history of a bank client; if you miss a mandatory payment once, the stain remains forever, even if you then pay everything regularly. In short, now the bank has grounds (even if small) to doubt the reliability of such a client.

What Does Google’s “All-Seeing Eye” Monitor?

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Google Ads algorithms index much more than just active ads; they look at absolutely everything. Below is a quick rundown of what the platform analyzes in your ad account:

- Campaign drafts: Did you create a campaign with aggressive headlines to see how it would look, and then just leave it in drafts without launching? The system has already recorded this. Your account received its first "minus" for intent.

- Edit history: If you first created an ad with trigger words like “casino” or “30-day weight loss guarantee,” and then edited it to something neutral like “popular slot machines” or “health tips,” the audit sees both versions. On top of that, Google can recognize the context of your static and video ad creatives, together with the message in the text placed in the ad creative. If the creatives are identical, but only a few elements often change, the system will — this may look like an attempt to bypass moderation. In other words, it can be considered an aggravating circumstance that may result in a ban for circumventing the system.

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- Deleted ads and ad group: Did you delete the rejected ad? Information about it does not disappear from the account history either. In an actual sense, deleting such ads only confirms to the algorithms that the account owner may have tried to promote something prohibited.
- Ad previews: Even when you simply use the ad preview tool to see how a potential ad will appear in search results, data about the keywords and texts used gets analyzed by the algorithms.

With this information, we can clearly see that testing new approaches, especially in aggressive verticals, on newly registered ad accounts, is a game of Russian roulette. Any mistake can be fatal. This is why many media buying teams are switching or have switched to working with trusted agency ad accounts. Trusted agency accounts from YeezyPay come with a solid, positive history, giving media buyers more flexibility to test different campaigns, including those with aggressive ad creatives. Their established “positive history” allows them to survive immediate penalties that would arise due to the media buyer making minor errors during the testing phase.

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Behavioral Analysis: Beyond Text and Images

Google not only scans ad content, but it also analyzes the behavior of the account owner as an advertiser. The search giant's AI has learned to recognize patterns typical of affiliate marketers, who in 99.9% of cases try to push grayhat offers. For the algorithm, you are not just a set of ads, but a profile with certain habits.

How Google "Thinks" and Assesses User Intent Within an Ad Account

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Google's anti-fraud system looks for both primitive and complex chains of patterns. If a newly registered account immediately starts creating campaigns, frequently edits rejected ads to find the “right” wording, or tests blatant clickbait creatives, the system marks the account as belonging to a potentially fraudulent advertiser. As a result, future moderation for that account becomes much stricter.

In short, even if you decide to launch a completely whitehat campaign, the “trail” of past actions will follow the account, and they will lead to an increase in CPC rates and more frequent checks. In such situations, support is extremely important. When an account gets into an account “freeze” due to old tests, it is almost impossible to prove anything to Google support on your own. However, if you are using a trusted agency account from YeezyPay, you’re account manager can help to resolve these issues quickly, as appeals from large partner agencies carry more weight with Google.

What Testing Strategies Can Help Bypass the “Shadow Audit”?

So, what to do if testing is still necessary? With the development of Google AI, it is impossible to completely avoid “shadow auditing”, but you can minimize its negative impacts by following several rules of the so-called “digital hygiene” practices. These rules include;

- The sandbox principle: Never test new, aggressive hypotheses on the main, profitable accounts, where the advertising campaigns are already actively running. It is always better to use separate, maximally isolated ad accounts for this purpose. If such a “test” account gets banned, it will be a controlled loss that will not affect the main campaigns.
- Warm up ad accounts with "whitehat" campaigns: Before launching something grayhat, let the account run at least one small, completely whitehat campaign in a neutral topic that’s at least indirectly related to your main niche. This style of warming up will create an initial positive trace and increase the overall account trust level.
- Duplicate ads instead of editing: If an ad has been rejected, it is better not to edit it. Instead, you have to duplicate the entire ad group or even the campaign.

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All necessary changes should be made in the copy, and leave the rejected group untouched or delete it. While these actions don't erase history, they can sometimes help you pass moderation more quickly.

- Gradually adding keywords: Do not upload the entire list of "grayhat" keywords at once. It is better to launch the advertising campaign with the most neutral keywords, and after the campaign has been running stably for several days, carefully add more aggressive keywords. At the same time, whitehat keywords should not be deleted; it is better to simply stop displaying ads for them.

Buying, farming, and warming up ad accounts for testing is time-consuming and expensive. It is much more efficient to have a ready-made infrastructure at hand. Using trusted agency accounts from YeezyPay for testing and main campaigns is way more efficient. These accounts are much more resilient to initial error; therefore, they allow you to focus on campaign optimization tasks rather than battling Google’s moderation system.

Conclusion

The “shadow audit” has always been, is, and will be part of the harsh reality of working with Google Ads. The platform tracks not only your target audience’s actions but also every move you make as an advertising account owner. The fate of your ad account directly depends on the history of actions within the account.

Algorithms do not have the concept of "deleted" or "draft" — every attempt to launch an aggressive creative, every edit with "grayhat" keywords, and even a preview of ads leaves a permanent mark in the history of the advertising account. This accumulated digital footprint directly influences the platform’s trust in your account, affecting click costs, moderation strictness, and the account’s overall lifespan.

That's why, experienced affiliates recommend using trusted agency accounts to test and runn campaigns with aggressive strategies. This way, you as the media buyer won’t go through the stress of frequent account bans or even spend weeks trying to buil a clean ad account history. Trusted agency accounts already come with an established whitehat history and high trust from Google Ads.]]>
In this situation, everyone’s first thought can be: "What's wrong again? I did everything cleanly, the final ads and the landing pages are all whitehat!" But the truth is that Google evaluates more than what the advertiser serves "on the table". It sees the whole "kitchen" - every draft version, deleted ad, and even attempts to add a "grayhat" keyword to a pack of harmless keywords leading to whitehat.

[Image: image4.png]

All necessary changes should be made in the copy, and leave the rejected group untouched or delete it. While these actions don't erase history, they can sometimes help you pass moderation more quickly.

- Gradually adding keywords: Do not upload the entire list of "grayhat" keywords at once. It is better to launch the advertising campaign with the most neutral keywords, and after the campaign has been running stably for several days, carefully add more aggressive keywords. At the same time, whitehat keywords should not be deleted; it is better to simply stop displaying ads for them.

Buying, farming, and warming up ad accounts for testing is time-consuming and expensive. It is much more efficient to have a ready-made infrastructure at hand. Using trusted agency accounts from YeezyPay for testing and main campaigns is way more efficient. These accounts are much more resilient to initial error; therefore, they allow you to focus on campaign optimization tasks rather than battling Google’s moderation system.

Conclusion

The “shadow audit” has always been, is, and will be part of the harsh reality of working with Google Ads. The platform tracks not only your target audience’s actions but also every move you make as an advertising account owner. The fate of your ad account directly depends on the history of actions within the account.

Algorithms do not have the concept of "deleted" or "draft" — every attempt to launch an aggressive creative, every edit with "grayhat" keywords, and even a preview of ads leaves a permanent mark in the history of the advertising account. This accumulated digital footprint directly influences the platform’s trust in your account, affecting click costs, moderation strictness, and the account’s overall lifespan.

That's why, experienced affiliates recommend using trusted agency accounts to test and runn campaigns with aggressive strategies. This way, you as the media buyer won’t go through the stress of frequent account bans or even spend weeks trying to buil a clean ad account history. Trusted agency accounts already come with an established whitehat history and high trust from Google Ads.]]> <![CDATA[Google Steps Up the Fight Against Grayhat Niches?]]> https://bestblackhatforum.com/Thread-Google-Steps-Up-the-Fight-Against-Grayhat-Niches Fri, 11 Jul 2025 10:20:48 +0000 https://bestblackhatforum.com/Thread-Google-Steps-Up-the-Fight-Against-Grayhat-Niches
Even experienced marketers with years of expertise report that they haven’t faced such a relentless storm of bans in a long time. Accounts that once lasted months, including agency accounts, are now sometimes banned within days, even after careful “whitehat” warm-ups (gradual, compliant activity to build trust). In this article, the YeezyPay team, which provides trusted Google Ads agency accounts for both grayhat and whitehat verticals, explains in clear detail why the world’s leading advertising platform is in turmoil and how affiliates can adapt to succeed in these challenging conditions.

Google’s “cleanup” is the new reality for affiliate marketers

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The biggest issues media buyers have been facing in recent months are endless demands for business and business operations verification, sudden bans for “unacceptable business practices”, and, most annoyingly, bans for “circumventing the systems”, even when running campaigns in whitehat verticals.

Google’s algorithms are banning accounts in large batches, including agency accounts, often citing “Breach of System Rules: Multiple Account Abuse.” This occurs despite affiliates using high-quality anti-detect browsers, reliable proxies, and unique Gmail accounts to avoid detection.

Some affiliates suspect the issue may be deeper, possibly linked to Google placing “black marks” on the operational entities (like business identities) used for client verifications in agency accounts. In such cases, even the most meticulous efforts may not prevent bans. Shockingly, even “whitehat” campaigns, such as those promoting flower sales for account warm-up, are being swept up in these bans, pointing to a broader systemic problem within Google’s moderation process.

Why is Google tightening the rules even more?

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Someone might wonder, why is Google so against advertisers who bring money to it? The thing is, there are several factors that come together here. Firstly, let's not be disingenuous, the platform itself is interested in cleaning the ecosystem from content that it considers questionable or harmful to users. Closing loopholes is a natural process for any business.

Secondly, there’s increasing talk in the affiliate community that Google is focusing on large brands with multimillion-dollar advertising budgets. Compared to these “whales,” smaller and medium-sized advertisers, especially those in grayhat niches, are less of a priority. Even if you’re spending $100,000 a month, Google may view this as insignificant compared to major corporations, making it easier for the platform to “sacrifice” smaller advertisers without worrying about their challenges.

It is worth noting that Google’s artificial intelligence has become far more sophisticated. Practices that once went unnoticed are now detected almost instantly. For example, cloaking has become much riskier, regardless of how advanced the setup is. In niches like gambling, Google’s algorithms now analyze links and content on landing pages and websites up to two or three levels deep. If you’re directing traffic to a review website with buttons linking to grayhat offers, your campaign or account risks being banned or suspended.

Automated systems, combined with stricter manual reviews, have become the standard for Google Ads moderation. This ongoing wave of account bans should be seen as a sort of “general cleanup” that will definitely impact many advertising accounts. As a result, using ad accounts that are stable and trusted is more important than ever. YeezyPay provides trusted Google Ads agency accounts that are reliable and can give you a more reliable foundation. These accounts reduce risks associated with the trust levels of an account or issues with initial advertiser verification.

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Additionally, trusted agency accounts are less likely to encounter payment-related issues. With YeezyPay, you fund the account balance directly through the service using a card or cryptocurrency, then distribute it across ad accounts. And unlike regular ad accounts, if an agency account is banned, YeezyPay allows you to withdraw or transfer the remaining balance to another account, minimizing financial losses.

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Lessons to learn on how to adapt and survive the next “storm”

Despite the complexity of the situation, there is no need to panic. Every crisis is also an opportunity for learning and growing. As we have already written above, such stormy periods force us to be as focused as possible and look for top-notch solutions.

So, what exactly can be done to avoid being left behind?

- Being thorough in every detail: You should use completely “clean” business assets, including verified domains, whitehat landing pages, legitimate business addresses, and fully comply with Google’s policies and verification processes. Affiliates who have survived multiple ban waves emphasize that having all documents and resources in order can speed up successful appeals. A well-prepared setup demonstrates legitimacy and reduces suspicion.

- Rethink your approaches for promoting grayhat offers: For high-risk verticals like gambling or crypto, consider finding a way to use pre-landing pages without cloaking or invest in reliable cloaking services or custom scripts. However, the quality of the pre-landing page and the “whitehat” appearance of the campaign remain crucial for success. The more compliant your setup appears, the better your chances of avoiding bans.

- Persisting with appeals: If you need to make an appeal, then be persistent. Don’t give up after the first, second, or even third ban. Experience shows that even fully compliant campaigns face bans, but up to 80% of them can be restored through appeals. The key is crafting a clear, professional appeal that addresses Google’s concerns. In some bizarre cases, Google has reversed bans even when affiliates submitted nonsensical appeal text, but a well-written appeal is far more likely to succeed.

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- Use trusted ad accounts and infrastructure: Rely on aged accounts with clean histories, switch IP addresses regularly, and test different proxies to avoid detection. For teams and solo affiliates who don’t want to waste resources on constant account farming or experimenting with individual accounts during unstable times, YeezyPay offers a solution. Their warmed-up, trusted agency accounts simplify infrastructure setup and minimize ban risks.

- Stay flexible and test new approaches: Affiliates must regularly monitor Google’s policy updates and experiment with different setups. Some experienced marketers suggest pausing high-risk campaigns during intense ban waves or exploring alternative channels, like YouTube video ads, to test new strategies while the “tsunami” subsides.

Conclusion

Google will always continue to improve its security systems, making it increasingly important for affiliates to operate as “whitehat” as possible, even in grayhat niches. To survive and thrive in this ongoing Google Ads crackdown, affiliates have to invest in high-quality landing pages, ad creatives, and improve their overall business processes. This helps to ensure stable campaign performance in the long term, even during turbulent times. Having a reliable partner like YeezyPay, affiliates can get through this turbulent period with fewer losses and focus on the main thing, which is running campaigns.]]> <![CDATA[Let’s Connect (Affiliate casino/betting section)]]> https://bestblackhatforum.com/Thread-Let%E2%80%99s-Connect-Affiliate-casino-betting-section Wed, 09 Jul 2025 23:18:56 +0000 https://bestblackhatforum.com/Thread-Let%E2%80%99s-Connect-Affiliate-casino-betting-section great to be part of this forum and community!

Just a quick introduction: I work in the affiliate casino/betting space, and over the years I’ve built strong connections with a wide range of Affiliate Managers across various reputable casino brands.

Thanks to this network, I have access to excellent RS (Revenue Share), CPA, and Hybrid deals, often with significantly better terms than what you’ll find publicly listed.

If you're skilled at promoting offers and generating traffic—whether through social media, paid ads, SEO, or other creative methods—and you're looking to scale or explore new opportunities, I’d be happy to discuss a potential partnership.

Of course, before anything moves forward, I believe in having a clear and honest introductory conversation to make sure our goals and expectations align on both sides.

Feel free to reach out if you're interested, or even just to chat about the affiliate casino space.

Looking forward to connecting with some of you!]]> great to be part of this forum and community!

Just a quick introduction: I work in the affiliate casino/betting space, and over the years I’ve built strong connections with a wide range of Affiliate Managers across various reputable casino brands.

Thanks to this network, I have access to excellent RS (Revenue Share), CPA, and Hybrid deals, often with significantly better terms than what you’ll find publicly listed.

If you're skilled at promoting offers and generating traffic—whether through social media, paid ads, SEO, or other creative methods—and you're looking to scale or explore new opportunities, I’d be happy to discuss a potential partnership.

Of course, before anything moves forward, I believe in having a clear and honest introductory conversation to make sure our goals and expectations align on both sides.

Feel free to reach out if you're interested, or even just to chat about the affiliate casino space.

Looking forward to connecting with some of you!]]> <![CDATA[Registering a Google Ads Account in Another Country: Does It Help Affiliates Save Money, and Is It Worth It?]]> https://bestblackhatforum.com/Thread-Registering-a-Google-Ads-Account-in-Another-Country-Does-It-Help-Affiliates-Save-Money-and-Is-It-Worth-It Tue, 17 Jun 2025 12:32:51 +0000 https://bestblackhatforum.com/Thread-Registering-a-Google-Ads-Account-in-Another-Country-Does-It-Help-Affiliates-Save-Money-and-Is-It-Worth-It
In real cases, this can lead to major losses. For example, on the Black Hat World forum, one affiliate shared that from a $100,000 advertising budget, he ended up losing $18,000 just because of VAT.

[Image: image1.png]

In this article, the YeezyPay team, a service that provides access to trusted Google Ads agency accounts, explains what VAT is, how affiliates can reduce or avoid VAT, which countries have lower tax rates, how to create Google ad accounts in those countries, and what alternatives exist.

What is VAT, and how much of your budget can it eat up?

VAT, or Value Added Tax, is a type of tax added to goods and services in many countries, similar to a sales tax. If you advertise with Google Ads, you usually have to pay VAT on every click your ads receive, depending on the country where your account is registered.

Let’s say you plan to spend $1,000 on a campaign using a Google Ads account registered in the United Kingdom, which has a VAT rate of 20%. Although you budgeted $1,000, you’ll need to pay $1,200, with $200 going directly to tax. Even worse, your campaign will still only serve $1,000 worth of ads, meaning you’re effectively losing part of your budget without getting more value in return.

VAT rates vary depending entirely on the country where your account is registered, not the country where your ads are being shown. This is a key point because it means advertisers can potentially avoid high tax rates by registering accounts in lower-tax countries.

Here are some examples of VAT rates by country based on data from Global VAT Compliance:

- United States – No VAT; local sales tax varies between 2.5% to 7.5%
- India – Between 2.5% and 28%, depending on the nature and profit of the business
- Brazil – Around 17% to 18%
- Canada – 5%
- Germany – 19%
- France – 20%
- Italy – 22%
- Philippines - 12%
- China - 13%

As you can see, many European countries apply a 15–22% VAT, which means that if you use an ad account registered in a European country, a large part of your budget goes to taxes instead of generating actual clicks or conversions. But is there a way to bypass this? Let’s find out in the next section.

How to reduce or avoid VAT legally when using Google Ads

The good news is that VAT is not charged based on where you run your ads; it’s based only on where your Google Ads account is registered. So, if you create your account in a country with low or no VAT, you won’t be charged high tax rates even if you’re targeting high-VAT regions like Europe.

Below are three common methods advertisers use to avoid paying unnecessary VAT.

Method 1: Using VPNs, proxies, and other software to hide your location when registering a new ad account

Some affiliates use VPNs or proxies to make it appear that they are located in a different country when they register their Google Ads account. This allows them to select a country with a lower VAT rate during the signup process.

[Image: image3.png]

While this method can work in theory, it is not recommended, as it violates Google’s Terms of Service. Google is strict about verifying your location and payment sources. If your IP address, billing address, or payment method does not match the country of your account, your account may be flagged or permanently suspended.

Using this method requires someone to have technical knowledge and, at the same time, be extra cautious. Even a small mistake, like using a credit card from your actual country, can lead to a ban with no appeal. For these reasons, the VPN method is considered risky and unstable for long-term campaigns.

Method 2: Buying a Google Ads account registered in a low-tax country

Another option is to buy a pre-made Google Ads account that is already registered in a country with low or no VAT.

[Image: image2.jpg]

These accounts are often sold through online forums or Telegram groups, and while they seem like a simple solution, they come with serious downsides.
First, there is no guarantee that the account is safe or trustworthy. Many of these accounts are either newly created (and have little trust with Google) or have been used by other advertisers and may already have warnings or limitations. If an account is blacklisted or has a history of suspicious activity, it could be banned the moment you start running ads.

Second, there is no official or secure platform to buy these accounts. You're relying on third-party sellers, which means there is a high risk of being scammed. Reliable accounts can cost $300–$500, and even then, a single policy violation could get them suspended, causing you to lose both the account and your money.

Overall, buying accounts might seem convenient at first, but the risks are high, and it’s hard to scale using this method.

Method 3: Using trusted Google Ads agency accounts

The safest and most reliable way to avoid paying VAT is by using a Google Ads agency account from a trusted supplier like YeezyPay. These accounts are set up and maintained by certified advertising agencies that work directly with Google. They are official, pre-approved, and come with built-in benefits, including:

- No VAT applied on ad spend, saving you up to 20% instantly.
- High trust level with Google, which reduces the chances of random suspensions.
- Active support and safety checks to avoid policy violations or account bans.
- Refund policies in case an account gets blocked for reasons outside your control.

Unlike VPNs or black-market accounts, these agency accounts are fully compliant with Google’s policies, giving you peace of mind while running large-scale campaigns. They are especially useful for affiliates in high-risk or expensive verticals where margins are tight and ad costs are high.

Conclusion

VAT can have a serious impact on your ROI, especially in expensive niches like crypto, finance, and gambling. On top of that, creating, buying, and managing multiple ad accounts yourself comes with the risk of losing time and money due to suspensions or configuration mistakes, or scams in the unverified marketplaces.

However, using a trusted Google Ads agency account from YeezyPay is a smart solution. It helps you avoid VAT, increases your account’s safety, and gives you a backup plan with refund options in case anything goes wrong.

If you’re spending serious money on Google Ads, this strategy might save you thousands of dollars and a lot of stress.]]>
In real cases, this can lead to major losses. For example, on the Black Hat World forum, one affiliate shared that from a $100,000 advertising budget, he ended up losing $18,000 just because of VAT.

[Image: image1.png]