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Cover: “How AI beating the day-30 drop” over the Pulse app's Curated for You screen.
Why users quit: motivation drops for 72% of users and plans don't fit for 56%.
Why it matters: only about 3% of users stay by day 30 and about 34% of annual plans cancel early.
Adaptive plans: the Pulse workout list with stretches that adjust to workouts, progress and rest.
AI form check: a Balance Yoga session where the camera flags risky moves in real time.
Coach and AI in one chat: Pulse AI notices fatigue and the coach suggests a lighter warm-up.
Retention is engineered: retention up 68% and injuries down 63%.

How AI coaching beats the day-30 drop in a fitness app. Most fitness apps lose users in the first month.

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ReliqioAIHealthTech

How AI coaching beats the day-30 drop in a fitness app.

Most fitness apps lose users in the first month. In Pulse’s research, 72% of users described motivation as cyclical: enthusiasm, then fatigue, then disengagement.

We treated that cycle as the brief and built three features to carry users through the dips:

  1. Adaptive plans. Load adjusts every day to workouts, progress and rest, with programs from different coaches.

  2. AI form check. The camera tracks body position and flags risky movement in real time.

  3. Coach and AI in one chat. AI answers between sessions, the coach makes the calls.

Together they worked as one support system. The result: retention up 68%.

Building a fitness app? Let's talk.

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Most fitness apps lose users in the first month. For Pulse, Reliqio treated the cycle of enthusiasm, fatigue and disengagement, described by 72% of users, as the brief.

Key points:

  • Adaptive plans: load adjusts every day to workouts, progress and rest.

  • AI form check: the camera flags risky movement in real time, and injuries went down 63%.

  • Coach and AI in one chat: AI answers between sessions, the coach makes the calls.

  • Retention went up 68% with the three working as one support system.

Most useful for teams building fitness and health apps.