StatsKit helps early-stage startups find out why visitors don't pay, then A/B test copy, pricing and paywalls to fix it, scored in real revenue not clicks.
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Maker
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Hey Product Hunt 👋
I'm Brett, the founder of Statskit. I'm back with an updated and better platform for you! I'm a software engineer with a background in search and experimentation, and I built this from the problems I kept seeing up close.
Give Statskit a go on your website and you won't be disappointed.
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Really nice consolidation of all those tools into one tag. One thing I'd love to see is a built-in cohort comparison overlay inside the session replay viewer, so I can filter replays side by side for converters vs non-converters on the same variation. That would make the qualitative "why" behind a winning test way faster to answer.
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Finally something that connects experiments to actual revenue instead of just clicks. The Bayesian readouts were super clear from my first conversions, and having replays and surveys in the same tag is honestly so much less hassle.
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Finally an analytics tool that ties results back to actual Stripe revenue instead of just counting clicks, the Bayesian angle is a nice touch too.
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Love that it ties everything back to actual revenue from Stripe and Shopify instead of just clicks. The Bayesian chance-to-win readout from day one feels way more useful than waiting weeks for p-values to settle.
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finally something that ties every test back to actual revenue instead of clicks, and the one script tag setup meant we were running a pricing experiment the same afternoon
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Really nice consolidation of all those tools into one tag. One thing I'd love to see is a built-in cohort comparison overlay inside the session replay viewer, so I can filter replays side by side for converters vs non-converters on the same variation. That would make the qualitative "why" behind a winning test way faster to answer.
Finally something that connects experiments to actual revenue instead of just clicks. The Bayesian readouts were super clear from my first conversions, and having replays and surveys in the same tag is honestly so much less hassle.
Finally an analytics tool that ties results back to actual Stripe revenue instead of just counting clicks, the Bayesian angle is a nice touch too.
Love that it ties everything back to actual revenue from Stripe and Shopify instead of just clicks. The Bayesian chance-to-win readout from day one feels way more useful than waiting weeks for p-values to settle.
finally something that ties every test back to actual revenue instead of clicks, and the one script tag setup meant we were running a pricing experiment the same afternoon