Ad Account Risk Checker

Answer 10 quick questions about your ad setup and get an instant 0–100 ban-risk score, a breakdown of which factors are working against you, and a prioritised list of fixes. Works for Facebook, Google, TikTok and Bing campaigns.

100% free No signup Runs entirely in your browser

Your ad setup

All optional — answer what you know. The score updates as you go.

Your risk score

0 / 100
Low risk

Fill in the form to see your assessment.

Top risk drivers

  • No significant risk factors yet.

Tailored recommendations

Answer the questions above to get prioritised, specific recommendations for your setup.

How ad account risk actually works

Ad platforms don't ban accounts at random. Every account carries a quiet, cumulative risk profile built from dozens of signals: the vertical you advertise, how aggressive your creative is, the age and history of the account, how your business managers and payment methods are linked, where your traffic comes from, and what your landing page actually shows. A single risky signal rarely triggers a ban. What gets accounts disabled is several risk factors stacking on the same asset — a brand-new business manager, a restricted vertical, an aggressive hook and a mismatched landing page, all at once.

That's why this checker is weighted rather than a simple checklist. Some factors are far heavier than others, and some only matter in combination — for example, running a grey or black-hat vertical is moderately risky on its own, but running it with no review-traffic protection at all is where most accounts actually die.

What raises your ban risk

  • Prior bans on linked assets. The single strongest predictor. Platforms fingerprint people, devices, payment methods and business managers. A history of disabled assets follows you and lowers the threshold for the next action.
  • Restricted or prohibited verticals. Crypto, gambling, nutra, adult, dating, forex/finance and similar categories face stricter automated and manual review. See platform-specific guidance for Facebook, Google, TikTok and Bing.
  • Aggressive or non-compliant creative. Income claims, before/after, shock hooks, fake UI and clickbait dramatically raise manual-review odds.
  • Cold accounts scaled too fast. A fresh account that jumps straight to high spend looks like a burner. Warm-up matters.
  • Landing pages that don't match the ad. Review systems crawl your destination URL. A bridge, redirect chain or off-policy page that contradicts a compliant-looking ad is a classic disapproval trigger.
  • Payment and identity risk. Shared cards across many accounts, prepaid/virtual cards, and mismatched billing geo all add friction.
  • Running grey verticals with zero review-traffic protection. If your offer can't pass review on its face and you send reviewers straight to it, disapproval is close to guaranteed.

How to lower it

The fixes fall into three buckets. Hygiene: warm new accounts with low spend on compliant offers, isolate business managers and payment methods so one ban can't cascade, and keep one offer per asset. Compliance: bring creative and landing pages within policy wherever you can — the cheapest risk reduction is simply not tripping the obvious wires. Review-traffic routing: for restricted verticals where a fully compliant funnel isn't viable, marketers route platform reviewers and bots to a compliant safe page while real users see the actual offer. This is what ad cloaking does. It manages review risk; it does not eliminate it, and it violates platform policy when detected.

If you want to go deeper, the integration docs walk through detection logic, safe-page strategy and warm-up tactics, and you can talk to the team about your specific vertical and stack.

Frequently asked questions

Bans come from policy violations (restricted verticals like crypto, gambling, nutra, dating, finance), misleading or aggressive creative, landing pages that don't match the ad, payment and identity risk, sudden spend spikes on cold accounts, and links to cloaking or redirect chains. Most bans are several risk factors stacking on one account, not a single mistake.

It's an educational heuristic, not a prediction. The 0–100 score is computed in your browser from a weighted model: prior bans and high-risk verticals weigh most, followed by running grey/black verticals with no protection, aggressive creative and unwarmed accounts. It shows what's stacking against you and what to fix first — it can't guarantee an outcome.

No. It's 100% client-side JavaScript. Your answers never leave the page — no signup, no server call, no cookie tied to your inputs. You can go offline after the page loads and it still works.

Warm new accounts with low spend and compliant offers, keep creative and landing pages within policy, isolate business managers and payment methods, and for restricted verticals route review traffic to a compliant safe page while real users see your offer. The tool gives you a prioritised list based on your specific answers.

Cloaking shows platform reviewers and bots a compliant page while showing real visitors a different page. It violates the ad policies of Facebook, Google, TikTok and Bing when detected. Marketers in restricted verticals use it to manage review risk, but it does not eliminate risk. This tool factors it into your score and explains the trade-off honestly.

Editorial standards

This free tool is maintained by the ipcloak.ai Engineering team. The risk model is a transparent, educational heuristic derived from patterns across real campaigns (anonymised) and reviewed against current Facebook, Google, TikTok and Bing advertising policies. It is not a prediction, a guarantee, or legal advice, and no score — high or low — assures any platform outcome.

Compliance note: Cloaking violates the advertising policies of all major platforms when detected. ipcloak.ai is a traffic-routing tool that helps marketers manage compliance and review risk — it does not guarantee against account action. Use at your own risk and ensure your underlying offers comply with applicable laws in your target markets.

Sources & references: Meta Advertising Standards, Google Ads policies, TikTok Advertising Policies, internal ipcloak.ai detection telemetry (Q1 2026).