GTM Sauce

RevenueCat · B2B · subscription tools for app makers

Publish a yearly benchmark report built from your customers' anonymized data

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What they did

Built from on-device receipt data across 22,000+ apps. Waited years until the customer base was representative of the App Store and the analysis was rigorous (data scientist plus business analyst). Everything averaged above a minimum threshold, apps with tiny data sets excluded, each app weighted equally, no scatterplots, and developers can opt out. Reported as quartiles plus median, not means. Released as a PDF at revenuecat.com/report, with a companion podcast, blog posts and a yearly update planned; readers asked to email feedback.
4:14
“And we are on the device tracking receipts, which gives us the 100% visibility into the lifecycle of individual users, which then, from there, you can build up into basically any aggregate you want.”
Jacob Eiting
5:32
“Yeah, we Everything has got to be averaged together, above a certain threshold, and all this stuff.”
Jacob Eiting
36:50
“So, if your app is like 10,000 10 times bigger than another app, but your, you know, your your 15% conversion rate only gets counted the same as somebody who's much, much smaller, right? And that's by design.”
Jacob Eiting

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