Comparison
Both promise an answer before you spend. PickFu gets it by asking real people to choose between options and say why. PreTestAds gets it by predicting the thing nobody can self-report — second-by-second attention on the finished ad. Which one you need depends on whether you're still deciding what to make or checking what you made.
A PickFu poll is a deliberate act: respondents look at your options side by side, pick one, and write a sentence about why. That produces something genuinely valuable — customer language, objections, preferences you didn't predict. What it can't produce is feed behavior, because the scroll decision is made in seconds by people who were never asked to look. PreTestAds measures that side: AdCortex™, trained on fMRI brain-response data, predicts engagement through every second of the creative and benchmarks it against 76 top-performing TikTok ads. No one votes; the model estimates what attention does.
PickFu prices per response, so cost tracks sample size and how many options you test; results typically arrive within the hour. PreTestAds prices per creative: $49/month for 20 analyses (about $2.45 per test), packs from $45, results in minutes, and up to 8 free credits to start. Both are two orders of magnitude cheaper than finding out with paid traffic, where a live A/B test runs $500+ per variant before significance.
Anything where human words are the deliverable: choosing between concepts or offers, naming, packaging, book covers, app icons, landing-page angles — decisions made before a finished ad exists, where a paragraph of customer reasoning changes what you build. If you run Amazon listings or DTC product pages, split-testing statics by stated preference is a workflow PickFu practically invented, and nothing model-based replaces the "why" comments — the seller-side playbook covers how the two combine.
The finished cut. Once there's a real video or image ad — filmed, designed, or AI-generated, the model doesn't care — the question stops being "which do people prefer?" and becomes "does this hold?" That's Hook Strength, the attention curve, the exact drop-off second, and a percentile against proven winners. It's also the practical option for VSL leads and 60-second cuts, where polling a video's moment-by-moment grip is awkward and expensive.
PreTestAds doesn't hear your customers — it will never surface the objection a poll comment hands you for free, and it doesn't measure persuasion or purchase intent (the methodology says exactly what it claims). PickFu doesn't see behavior — a winning vote can still be an ad nobody stops for, because respondents were paid to look and feed viewers aren't. Poll the decision, score the execution.
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They measure different things. PickFu measures stated preference — real people vote between options and explain why, which is excellent for concepts, offers, thumbnails, and packaging. PreTestAds predicts attention behavior on the finished creative — whether a feed viewer keeps watching, and the exact second they'd bail. For video ads the attention question comes first; for concept decisions the preference question comes first.
Yes, and the workflow is natural: poll the concept, offer, or thumbnail while it's still cheap to change, then score the finished cut for attention before it gets a media budget. The two disagree often enough to be worth running both — a concept people prefer can still open with a hook nobody stops for.
Because being asked changes the answer. A respondent who's paid to watch and evaluate an ad can't replicate the half-attentive, unpaid scroll where feed decisions actually happen. Attention prediction models the creative's moment-by-moment pull directly, without a respondent performing attentiveness for the camera.