Find the leading indicator.
Sendlyr reads workout events to identify the early behavior, window, and coverage.
For fitness apps
Find the workout behavior that brings members back.
Sendlyr finds a leading indicator in your product data. Your lifecycle stack guides members toward it, measured return outcomes come back, and the indicator improves.
First plan chosen
Second workout logged
Recovery loop completed
These are illustrative hypotheses, not proven activation signals.
The activation problem
Completion is not proof of commitment.
A first workout can reflect novelty. A second planned session might be more useful, but its relationship with return still has to be measured.
One behavior your team believes matters
Define the workout action, timing, and eligible cohort precisely.
A defined return window
Choose the member return your team wants the behavior to affect.
One lifecycle direction
Give your existing lifecycle stack a clear workout behavior to reinforce.
Guide members toward it.
Your lifecycle stack reinforces the behavior, with testing to confirm what changed.
Sharpen the indicator.
Measured return outcomes come back so Sendlyr can improve the indicator.
Fit requirements
Ready when these exist.
- Workout, plan, and reschedule events have timestamps.
- A member return window is defined.
- Your team can run one support intervention.
- Consent and privacy controls cover the data.
Fitness activation
Validate the signal behind member return.
Bring one candidate behavior and one defined outcome.
Request a Signal Validation Pilot