GTM Sauce

Ladder · B2C · strength training app

Let users log reps and weights, then suggest next weights and show their progress

70-75% of users now log every workout; guest sees it correlate with retention

Workedretentionproduct-activation

What they did

Journal layer inside each workout: user logs reps and weights (distance for cardio). Next time that movement comes up, recommended weights are prefilled from the logged data. After each workout a recap shows progress since starting (e.g. '62% increase in dumbbell bench press'), PRs across movements, and journal history lives on the profile, building stored state that makes the app sticky.

What happened

70-75% of users use the journal each workout; correlation with retention observed (no numbers).
“You input the data, then the next time you come in and like for that specific movement, let's call it an RDO or a bench press. And the recommended weights come back into play because we've now personalized it by putting in that existing weight.”
Ben Gammon
“as you build state, it becomes sticky.”
Ben Gammon

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