Alternatives
PickFu made consumer feedback self-serve: put up two options, real people vote and tell you why. The catch is what a vote can't see — whether anyone would have stopped scrolling for either option in the first place. The right alternative depends on which of those questions you're actually asking.
Three reasons come up. Cost scales with respondents: per-response pricing is fine for one poll, but screening every ad variant every week adds up fast. Opinions aren't behavior: respondents study your options side by side and explain their choice — a situation that never happens in a feed, where the scroll decision takes seconds and nobody is asked anything. Video is awkward to poll: preference votes on a thumbnail or concept work well; second-by-second attention through a 30-second cut is a different measurement entirely.
PreTestAds skips the panel and predicts the behavior itself: AdCortex™, trained on fMRI brain-response data, scores your finished ad second by second and benchmarks it against 76 top-performing TikTok ads — Hook Strength, the exact drop-off second, your best frame. Works on any finished ad, filmed, designed, or AI-generated. Self-serve from $49/month (about $2.45 per test), up to 8 free credits. It won't tell you why in a customer's words the way a poll comment does — it tells you where attention holds and where it dies, which is the part a vote can't see. Head-to-head: PreTestAds vs PickFu.
Lyssna runs first-impression research with human panels — the classic five-second test, preference tests, and design surveys. It's the closest like-for-like substitute if what you want is fast human reactions to static designs, with more UX-research structure than a straight poll. Same fundamental trade as PickFu: you're buying stated impressions, priced per response.
If you're outgrowing polls in the other direction — you need proper survey diagnostics, norms, and methodology a research team will sign off on — Zappi is the agile end of enterprise panel research. It costs enterprise money and takes hours-to-days per study, which is why teams pair it with cheaper screening rather than running everything through it. See Zappi alternatives for that tier.
System1 shows finished ads to human panels and scores emotional response against a large norms database — the institutional version of "which do people like more," validated against brand growth. It's built for brand campaigns and TV budgets, not for ranking this week's feed variants. Comparison: PreTestAds vs System1.
Split your question in two. "Which concept, offer, or thumbnail do people prefer, and what do they say about it?" — that's a poll or survey, and PickFu and Lyssna do it well. "Will this finished ad hold attention when nobody's being paid to look?" — that's behavior prediction, and it's what an attention model measures for a couple of dollars before the $500+-per-variant live test. Plenty of teams poll the concept, then score the cut — the two tools disagree often enough to make both worth having.
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It depends on the question you're asking. PickFu tells you which option people PREFER and why, in their own words. If your real question is whether a video or image ad will hold attention in a feed, an attention-prediction model like PreTestAds measures behavior instead of opinion — in minutes, from about $2.45 per test. Many teams use both: polls for concepts and offers, attention scoring for the finished creative.
No. A poll measures stated preference — what people say when you ask them to look and choose. Feed behavior is unstated: nobody in a feed is asked anything, they just scroll or stay. That's why an option that wins a poll can still lose attention in the wild, and why attention prediction and polling answer different questions.
Polling platforms price per respondent, so cost scales with sample size and options tested. PreTestAds prices per creative: plans from $49/month for 20 analyses (about $2.45 per test), credit packs from $45, and up to 8 free credits to start — no credit card.