Why ads get disapproved, the exact sentences that get them flagged, and the rewrites that fix them. Written for home-service agencies and the marketers who serve them — every guide ends with the pre-screen workflow that stops the next one before it is submitted.
The failed exam that killed the AI build, the reviews we refused to fake, the launch that shipped dead, and the rule each hard day left behind. Season 1, Days 1 to 32.
Read the diary →Google's vaguest label, decoded. Which claims land under Misrepresentation, from unreliable claims to dishonest pricing, and the rewrites that clear each one.
Read the guide →Meta rejects ads that seem to know the viewer. How the Personal Attributes rule works, the wording patterns that trip it, and how to assert the service instead of the person.
Read the guide →Not every rejection is a wording problem. Triage the notice first: words you can fix, destination problems, or account trouble that no rewrite will cure.
Read the guide →Listing ads fail differently: friendly copy can create fair-housing risk. The 4 fair-housing checks, targeting traps, superlatives and license rules, with rewrites.
Read the guide →Your Meta ad was rejected. Read the label, match it to the real culprit, from personal attributes to deceptive claims, fix that element, and pre-screen the next ad.
Read the guide →What trust signals must a contractor landing page show before paid traffic? The six checks, phone, license, name, CTA, trust evidence and service area, with fixes.
Read the guide →Your Google ad was disapproved. Here's how to read the policy label, match it to the real culprit in your copy, fix the sentence, and pre-screen the next ad before you submit it.
Read the guide →AI ad checkers give confident verdicts that change from run to run and cite policies that don't exist. Here's the failure pattern, where AI genuinely helps, and how a deterministic rule book answers instead.
Read the guide →Dental ads answer to two rulebooks: the ad platforms and your state dental board. The claims that get flagged most — guarantees, 'painless', whitening promises, discounts without the total fee — with the rewrites that fix them.
Read the guide →Law firm ads answer to two rulebooks: the ad platforms and the bar rules behind them. The claims that get flagged most — "specialist" without the certification behind it, guaranteed outcomes, dollar-amount testimonials — with the rewrites that fix them.
Read the guide →ChatGPT can guess at ad compliance. TradesAd checks contractor ad copy against fixed policy rules and shows the exact wording to fix. Here is the honest difference between the two.
Read the comparison →The full rule set that runs on each trade's ads, with the risky claim examples we see most and their fixes. One page per trade, per platform, generated from the same rule library the audit uses.
The Competition Act layer on top of the platform rules: drip pricing, performance claims, reference prices, testimonials, RBQ licence numbers and Quebec’s French rule.
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