- Published on
Google Ads Finally Stopped Shooting Honest Accounts: What Marketers Should Do
- Authors

- Name
- Mikhail Drozdov
About the Author
Digital philosopher with 10+ years of experience. Connecting SEO, analytics, AI, and iGaming marketing so brands grow through strategy, not hype.
Casinokrisa · Digital Philosopher & Marketing Strategist
- Email: info@casinokrisa.com
- Telegram: @casinokrisa
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- Website: casinokrisa.com
Evening, colleagues. Google decided to play ecosystem savior again and announced that its automatic punishing algorithms are now more accurate, and appeals are processed faster. Sounds like a LinkedIn press release? Yes. But inside there's math that directly affects our budgets. Search Engine Journal writes that false account blocks dropped by more than 80%, and 99% of appeals are closed within 24 hours. This means instead of a week of hysterics in media buying chats, we get a day of silence and an action plan. The main thing—don't turn into those "live press releases" I already wrote about in the piece on digital influencers as a service. This update affects marketing strategy and requires understanding E-E-A-T signals.

What Happened and Why This Isn't Just News in the Feed
Google historically fought two extremes: scammers trying to get into advertising at any cost, and honest advertisers whose campaigns broke by mistake. The new update—an attempt to show the second category stopped suffering. In numbers:
- Minus 80% false blocks. Algorithms learned to better distinguish real advertisers from "gray" ones.
- Appeals processed 70% faster. According to SEJ, almost all requests are closed within 24 hours.
- More transparency. Google promises to explain blocking reasons, though we both understand we still won't get full access logs.
These numbers sound nice, but they don't cancel basic rules. Any ad account lives at the intersection of strict policies and our ability to document the process. Remember how we rolled out sensemaking sessions to bring order to hypotheses? Same logic here: less panic—more procedures. Sensemaking helps structure marketing processes and analytics workflows.
Table: What Changes in Daily Routine
| Metric | Before Update | After Update |
|---|---|---|
| Probability of false ban | High, especially for iGaming and fintech | Drops by 80%, but doesn't disappear |
| Appeal speed | 3–7 days, sometimes more | 24 hours in 99% of cases |
| Communication | Standard support templates | More context, but still formal |
| Team psychology | "Let's push budgets to another source" | "Hold the line, analyze logs, return" |
| SEO effect | Indirect (campaign stops broke traffic) | Ability to sync paid and organic traffic without drops |
A dry table isn't just a checklist. It's a reason to rewrite internal protocol: who's responsible for Google communication, where screenshots are stored, how fast we can switch creatives to white landings while verification is ongoing. Don't want to repeat the case from my piece on redesign without strategy, where a pretty picture appeared faster than documents? Then document.
How to Integrate the Update into Tactics
- Update appeal playbook. Media buying, lawyers, and account managers should understand what evidence to attach: contracts, KYC, CRM screenshots.
- Separate traffic channels. Even if the account returns in 24 hours, prepare an organic reserve. E-E-A-T helps here: strong articles like AI marketing orchestration ensure brand searches while ads are silent. This requires building topic authority and semantic architecture that supports both paid and organic marketing channels.
- Log changes. Every launch of a new creative batch should be accompanied by a record of which policies we touch. This saves hours in case of blocking.
- Check targeting + content alignment. Errors often sit in mismatches: promised one thing, landed on another. The organic part of the site should confirm what you say in ads.
- Build internal FAQ. So juniors don't write "what to do" in chat when a ban arrives, make a note with typical steps.
Sidebar: Why Wikipedia Still Matters
When explaining to management what Google Ads policy is, referencing the Wikipedia article on Google Ads helps align concepts. It's the simplest way to show that restrictions aren't your fantasy or "Telegram rumors." Yes, Wikipedia is basic level, but sometimes that's what saves negotiations.
Case Logic: What to Do in the First 24 Hours After Blocking
- Record the fact. Screenshots, account ID, email time.
- Roll back active tests. If an experimental offer was running at blocking time, turn it off and return to verified landings.
- Collect evidence. CRM extract, license confirmations, landing copies.
- Launch appeal through form and through representative. If you have a manager, duplicating the request increases speed.
- Notify the team. Publish an update in the general channel so sales and product understand traffic dropped.
- Deploy organic plan. SEO articles, blog, Telegram. Traffic shouldn't collapse to zero.
Table: E-E-A-T + Paid Advertising Checkpoints
| Block | What We Check | Tool |
|---|---|---|
| Expertise | Author pages, quotes, mentions | Author MDX documents, live press release as storytelling example |
| Experience | Case sections in articles, real metrics | Blog, GA4 slices |
| Authoritativeness | Structured data (Organization, Person) | What we already embedded in app/layout.tsx |
| Trustworthiness | Policies, "Privacy/Terms" pages, offer transparency | /privacy, /terms, landing feeds |
| Paid Alignment | Match between landing promises and ad | Pre-launch checklist |
If E-E-A-T is pumped, even after a ban you have organic traffic that's not embarrassing to show the audience. And Google itself treats such projects as "slightly more trusted."
Internal Linking and Semantic Bridges
- When talking about influencers, guide readers to the article on Sensemaking Sessions—there's the logic of how we collect signals before making decisions.
- In the block on product scenarios, link to iGaming attention economics: there's detail on why players react to expectation, not words.
- If discussing brand positions, remind about redesign without strategy so people see the difference between visual cosmetics and operational growth.
This closes two tasks at once: users get a site route, and search robots see contextual connections.
FAQ
Why Did Google Suddenly "Become Kind"?
It didn't become kind. It protects its own market. False blocks hit revenue and annoyed large agencies. Now the algorithm just became more careful, but you'll still get all policies from ad content to financial restrictions.
Do We Need to Rewrite Creatives for New Rules?
There's no separate requirement to "write differently," but now Google responds faster. So you can test more often: launch a batch, watch feedback carefully, record behavior. If creatives have potentially "gray" formulations, keep a white version ready.
What to Do If Appeal Was Rejected?
Collect a new evidence package, show real KYC process, provide call recordings (if relevant). In parallel, check the entire stack: from GTM tag to return policy. Sometimes a ban holds due to a small thing forgotten in CMS.
Table: FAQ for Team (with Sample Answers)
| Question | Who to Address | What to Attach |
|---|---|---|
| "Where's the Google email?" | Media buying | Email screenshot, account link |
| "How do we prove offer legality?" | Lawyer / compliance | Licenses, contracts, requirements checklist |
| "What do we show organic traffic?" | Content / SEO | Articles, for example this material + AI orchestration |
How to Hold SEO While Ads Rest
- Prepare FAQ for real client queries. This closes typical questions and takes places under rich results.
- Make table of contents in longreads. Users find needed blocks faster, and search engines understand structure and hand out sitelinks.
- Record events in Search Console. Visible which text pulled brand traffic when the ad account was down.
- Convert illustrations to WebP and give honest alt texts. In mobile results, speed decides, and images with clear descriptions get traffic from images.
- After publication, run Lighthouse Mobile. Core Web Vitals stats—your argument for any SEO/product dispute.
- Build clusters around key topics. This article logically connects to sensemaking, AI orchestration, and the piece on facade influencers—so readers get a route, not scattered notes.
Where to Dig Deeper
| From | Where We Lead | What You'll Find |
|---|---|---|
| This longread | /blog/sensemaking-sessions | On how we collect insights before launching campaigns |
| This longread | /blog/digital-influencer-as-service | How PR facades replace real work |
| This longread | /blog/ai-marketing-orchestration | How to maintain discipline in marketing automation |
Final Conclusion
The market draws a beautiful story: Google sped up, algorithms became kinder, you can relax. But behind every update is the same compromise between facade and reality. While some chase airport stories and tell how they "solve issues directly," others rewrite protocols, update SEO clusters, and keep reserve landings. The winner is the one who doesn't panic at the word "ban," but pulls out documents, tables, FAQ, and article routes. Next time you hear "it's all paranoia," show the update numbers and ask: "How much did your last traffic pause cost?" This usually returns people to reality faster than any ad case.
Related Processes
- AI Orchestration Process
Step-by-step process for integrating AI into marketing workflows: data collection, solution generation, execution, retrospectives.
- Sensemaking Process
Process for making sense of ambiguous information: gather data, create meaning map, identify patterns, generate actions.
- SEO for AI Overviews
How to optimize content for AI consumption: structure for citation, add FAQ schema, build E-E-A-T signals, create quotable content.
Related Topics
- SEO & Search
Search engine optimization, content strategy, visibility in search results. How search algorithms work and how to optimize for AI-powered search.
- Marketing Strategy
Digital marketing, performance marketing, strategic approaches to growth. Building systems that connect analytics, strategy, and execution.
- Analytics & Data
Data analysis, metrics, measurement, and data-driven decision making. Building pipelines that connect data, insights, and actions.
Related Terms
- AI Orchestration
A managed set of processes where AI models are embedded in daily work: data collection, solution generation, execution control, and retrospectives. Not separate initiatives, but a unified system connecting people and machines.
- Sensemaking
A process where a team makes sense of ambiguous information and turns it into actions. In marketing, this means taking scattered metrics, user feedback, trends, and constraints, and assembling a meaning map that connects data, people, and strategy.
- E-E-A-T
Experience, Expertise, Authoritativeness, and Trustworthiness. Google's framework for evaluating content quality. Content should demonstrate real experience, show expertise, establish authority, and be trustworthy.
- Attention Economics
The economic model where attention is the scarce resource. In iGaming and digital marketing, understanding how to earn and retain attention through quality experience, not just acquisition, determines long-term success.
- Media Buying
The process of purchasing advertising space across digital channels. In performance marketing, media buying involves traffic arbitrage, creative optimization, and systematic approach to ensure profitability over the long term.
- ROMI
Return on Marketing Investment. A metric that measures the revenue generated from marketing activities relative to the cost. Essential for evaluating marketing effectiveness and budget allocation.
- Semantic Architecture
The structure of meaning in digital systems. How content, data, and communications are organized to create coherent understanding for both algorithms and humans.
- Structured Data
Standardized format for providing information about a page. Schema.org markup helps search engines understand content and enables rich results, AI answer inclusion, and better visibility.
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