Case Study: Peloton achieves feature adoption at scale with Amplitude

How Peloton Harnessed the Power of Emergent Behaviors

Peloton, the connected fitness platform, wanted to turn ideas from its most engaged members into features that could scale to a much broader audience. With help from Amplitude, Peloton used product intelligence to study “emergent behaviors” — the organic hacks and usage patterns active users created — but faced the challenge of validating those ideas beyond a small, highly loyal group.

Amplitude helped Peloton apply a framework of observing, validating, and learning from user behavior. This led to new social workout features, including the evolution of “Friends Working Out Now” into “Here Now,” which showed who else was taking a class at the same time; after testing, Peloton found the real need was avoiding solo workouts. The result was a feature adopted by 40% of daily active users, helping Peloton scale community-driven engagement.

Peloton