This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
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.
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.
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
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 an analytics tool that ties results back to actual Stripe revenue instead of just counting clicks, the Bayesian angle is a nice touch too.
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.
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 a tool that judges tests by actual stripe revenue instead of click rates, and getting it running with one script tag took about three minutes. the bayesian chance-to-win readout is way easier to explain to my cofounder than p-values
About StatsKit on Product Hunt
“Website analytics done right”
StatsKit was submitted on Product Hunt and earned 8 upvotes and 7 comments, placing #160 on the daily leaderboard. 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.
StatsKit was featured in Analytics (172.8k followers), SaaS (43.1k followers) and Data & Analytics (5.7k followers) on Product Hunt. Together, these topics include over 69k products, making this a competitive space to launch in.
Who hunted StatsKit?
StatsKit was hunted by StatsKit. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how StatsKit stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
StatsKit