Find the leading indicator.
Sendlyr reads cooking events to identify the early behavior, window, and coverage.
For cooking apps
Find the cooking behavior that brings cooks back.
Sendlyr finds a leading indicator in your product data. Your lifecycle stack guides cooks toward it, measured repeat-use outcomes come back, and the indicator improves.
First recipe saved
Cook mode completed
Second meal planned
These are illustrative hypotheses, not proven activation signals.
The activation problem
Browsing is not proof of cooking intent.
A saved recipe may mean curiosity. Cook mode or meal planning might be more useful, but its relationship with repeat use still has to be measured.
One behavior your team believes matters
Define the cooking action, timing, and eligible cohort precisely.
A repeat cooking action
Choose the repeat use your team wants the behavior to affect.
One lifecycle direction
Give your existing lifecycle stack a clear cooking behavior to reinforce.
Guide cooks toward it.
Your lifecycle stack reinforces the behavior, with testing to confirm what changed.
Sharpen the indicator.
Measured repeat-use outcomes come back so Sendlyr can improve the indicator.
Fit requirements
Ready when these exist.
- Search, save, cook, and planning events have timestamps.
- A repeat cooking outcome is defined.
- Your team can run one useful prompt.
- Consent and privacy controls cover the data.
Cooking activation
Validate the signal behind repeat use.
Bring one candidate behavior and one defined outcome.
Request a Signal Validation Pilot