- Cohort of ecommerce personas evaluates your page independently
- Computed confidence (cohort + cross-model agreement) — not LLM self-score
- Per-friction guidance: fix now, A/B test, or skip
- Targeting suggestion when you have no ICP yet
Run an evaluation
Five quick fields. You’ll get would-buy %, impact, confidence, who to target, and how you stack up vs competitors.
How it works
We sample a seeded cohort across shopper segments (deal hunters, quality seekers, research-heavy buyers, and more), show each persona your page facts and screenshots, and collect structured decisions. Aggregation is deterministic. Important product bets still need human validation — this tool is for de-risking design before you spend test traffic.
Practice the business side in the Ecommerce Simulator.
FAQ
Is this a real A/B test?
No. Persona Panel runs simulated shoppers (persona agents) against your URL or screenshots. Results are hypothesis-generating: use them to avoid testing weak ideas, then validate with real traffic.
What do Impact and Confidence mean?
Impact estimates how much a friction cluster hurts simulated buy intent. Confidence is computed from cohort agreement, cross-model agreement (two Groq models), evidence coverage (HTML + screenshots), and sample size — not a vibe score from the model.
Why do you ask for email?
Email unlocks the full report (persona quotes, targeting, competitors) and raises the daily run limit. We do not require a password.