Guide
Most ads fail quietly. The budget gets spent, the campaign underperforms, and nobody can say exactly why. Ad pre-testing answers the question before the money leaves your account.
Ad pre-testing (also called creative pre-testing or copy testing) is the practice of evaluating an ad's effectiveness before launching it. For decades this meant focus groups, survey panels, and research agencies — slow, expensive, and reserved for brands with six-figure research budgets.
Modern pre-testing replaces the panel with a model. Machine learning systems trained on how people respond to video can predict viewer attention and engagement directly from your creative's audio-visual features — in minutes, for a fraction of the cost.
Because creative is the single biggest performance lever you control. Targeting and bidding are increasingly automated by the platforms — what's left is whether your ad stops the scroll and holds attention. Launching untested creative means paying the ad platform to find out it doesn't.
Pre-testing catches the predictable failures early: a weak first 3 seconds, a mid-video lull where viewers check out, a CTA that arrives after attention is already gone. Fixing those before launch is dramatically cheaper than discovering them in your campaign metrics.
Upload a video (up to 60 seconds) or a static image. Our AdCortex™ model processes it frame by frame and produces a continuous engagement signal — a prediction of how strongly an average viewer's attention is captured at each moment. Your score is a percentile against a benchmark of 76 top-performing ads curated from the TikTok Creative Center, so you know exactly where you stand against proven creative.
You get four actionable metrics: Hook Strength (your first 3 seconds), Attention Drop (the second viewers check out), Peak Moment (your best thumbnail frame), and Purchase Signal (engagement during your CTA window). Read more about how the model works and what it does and doesn't claim.
Pre-testing doesn't replace live testing — it makes it cheaper. Instead of A/B testing five variants with real budget, pre-test all five, kill the weak ones, and spend your test budget on the two that score well. See our comparisons: pre-testing vs. A/B testing and pre-testing vs. focus groups and the breakdown behind a score in ad creative analysis. Running long-form direct response? The same screen works on your opening minute — VSL lead testing.
Enterprise pre-testing platforms are priced for big brands — typically thousands of dollars per study, with sales calls and annual contracts (our pricing guides break down how those quotes work). PreTestAds is self-serve: plans start at $49/month for 20 analyses, and you start with up to 8 free credits — no credit card required. Comparing tools first? Everything we've published is in the comparison hub.
Upload your ad, get your score, fix what's weak — before you spend.
Score Your Ad FreeAd pre-testing is evaluating an ad's effectiveness before you spend money running it. Traditional pre-testing uses surveys, focus groups, or panel studies. Modern pre-testing uses machine learning models that predict viewer attention and engagement directly from the creative — returning results in minutes instead of weeks.
Enterprise pre-testing platforms typically cost thousands of dollars per study and are priced for large brands. PreTestAds is self-serve: plans start at $49/month for 20 analyses, and every new account starts with up to 8 free credits, no credit card required.
AI pre-testing predicts attention and engagement — a leading indicator of performance, not a guarantee of conversions. It is best used as a fast directional signal to catch weak creative before you pay to promote it, then confirmed with small-budget live testing.