GTM Sauce

Hevy · B2C · gym workout tracking app

Let users follow each other's workouts and suggest the most active users to newcomers

Strangers formed their own groups in-app; main growth engine behind 2M users

Workedproduct-viralityword-of-mouthretention

What they did

Hevy was designed from day one as 'Strava for weightlifting': users follow friends and see and compete on each other's workouts. A 'suggested users' cell used a rudimentary algorithm that put good, active users at the top, so newcomers without friends in the app still found people to follow. Social is treated as the main growth engine and a retention driver, since users invest both their training data and their community in the app.

What happened

Small communities of strangers following each other (and mini-influencers) formed in the app, the founders' 'this is real' moment; growth accelerated to 2M users with under $15K of ads. K-factor is still hard to measure.
15:41
“it was when we started realizing that little communities were forming on the app of people that we had no idea who they were.”
Guillem Ros Salvador
“people are forming these like little communities and like little almost influencers are forming inside the app with like the super rudimentary like algorithm we had for suggesting users. Good users would go to the top of that suggestion.”
Guillem Ros Salvador
6:42
“And it actually becomes like a pretty important retention driver, cuz not only do you invest so much into the product with your own data and tracking and analytics, but also with the community that you form on the app.”
Guillem Ros Salvador

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