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, a restricted vertical becomes much riskier when aggressive claims, inconsistent destination content and a new account appear together.

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, supplements, adult, dating and finance can face additional eligibility, licensing, disclosure or targeting requirements. See the traffic-quality guides for Facebook, Google, TikTok and Microsoft Ads.
  • 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.
  • Different experiences for different visitors. Hidden redirects or materially different content for reviewers and customers undermine destination consistency and can trigger enforcement.

How to lower it

The fixes fall into three buckets. Account hygiene: keep identity, billing and ownership data accurate and increase spend gradually. Destination consistency: make sure the ad promise, redirect chain and final page describe the same offer for every visitor. Observability: verify known crawlers, log routing decisions and fix false positives without concealing content. If an offer cannot meet a platform's policy, change the offer or use an eligible channel instead of presenting reviewers with different content.

If you want to go deeper, the traffic-quality guide explains crawler validation, false-positive diagnosis and destination consistency, and you can talk to the team about your access-control 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 score is computed in your browser from a weighted model: prior bans and prohibited verticals weigh most, followed by destination inconsistency, aggressive creative and sudden spend increases on new accounts. It shows what is stacking against you; it cannot 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.

Keep creative within policy, make sure the destination matches the ad for every visitor, document legitimate regional restrictions, remove unnecessary redirects, align billing and account identity, and increase spend gradually.

Cloaking means showing materially different content to reviewers or crawlers than to ordinary visitors. Major advertising platforms prohibit deceptive content switching. Legitimate security filtering should be transparent and consistently applied, and must not conceal the advertised offer.

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: Major advertising platforms prohibit deceptive content switching. ipcloak.ai provides traffic diagnostics and access controls; customers remain responsible for keeping the advertised offer consistent for reviewers, crawlers and users and for complying with applicable platform policies and laws.

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