Creative testing planner
the most common creative testing mistake is running too many at once on too small a budget, so nothing gets enough data and you pick a winner that was noise. this tells you how many your budget can genuinely test.
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Why 30 installs
it is a working floor, not a statistical law. below roughly 30 conversions the difference between two creatives is usually within the range random chance produces, so you are choosing a favourite rather than finding a winner.
if you are optimising for something rarer than an install, like a trial start or a purchase, raise the threshold. the rarer the event, the more volume you need before the numbers mean anything.
Volume beats polish
at ZuAI we tested over 150 creatives a month. the value was not in any single ad, it was in finding the two or three hooks that worked and then making many versions of those.
that only works if each one gets enough spend to be judged. thirty ideas on a budget that supports ten is not ambition, it is guessing with extra steps.
Numbers tell you what. They do not tell you what to do.
bring your real numbers to the breakdown call and leave with a plan for them. free, no pitch deck.
Common questions
How long should a test run?
long enough to hit the install count above, and at least three or four days regardless, because behaviour differs between weekdays and weekends. stopping a test after one strong morning is how you learn the wrong lesson confidently.
Should I test creatives against each other or one at a time?
together, in one campaign, letting the platform split delivery. sequential tests are contaminated by everything that changed between them, including the auction, the season and your own targeting.
Other execute tools
Ad funnel calculator
turn CPM, click rate and install rate into real cost per install, and see which step of the funnel is costing you money.
ExecuteAd budget split planner
split one budget across TikTok, Meta and Reddit, forecast installs per channel and see your blended cost per install.
ExecuteChannel CAC comparison
compare cost per user across three channels and see how many extra users you would get by moving budget to the best one.
ExecuteA/B test sample size
work out how many users each variant needs before you run the test, and how many days that will take at your traffic.
Bring one real growth problem. Leave with the fix.
the breakdown call is free. no pitch deck, no agency handoff.