GTM Sauce

Tinder · B2C · dating app

Give each paid feature its own paywall and check its sales every morning

Showed 2-3 features drive most new subs; weak ones were made free

Workedpaywallanalytics-attributionfeature-development

What they did

Every subscription feature had its own paywall entry point. A dashboard reviewed every morning showed clicks per entry point, conversion rate and the mapped incremental subscription revenue. Features that did not convert were either given more prominent placement or made free. Never moved a free feature behind the paywall.

What happened

Found a power law: two to three power features drove most new subscriptions; features that didn't move conversion were made free.
Stage
scale
“Pretty much every subscription feature had a paywall entry point that we had a dashboard we'd wake up to every day and we could see the number of, obviously the number of clicks it got and then look at the conversion rate and then map that to incremental revenue for the subscription product.”
Jeff Morris
“There were some cases where we thought we could charge for something and then we would look at the conversion data on that paywall and it just wasn't moving the needle and so we would make it free.”
Jeff Morris
“We had two to three power features that people really paid for, and then we would try and design more features on top of those over time or new experiments, but it was pretty consistent.”
Jeff Morris

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