Find the one behavior
that predicts retention.
Then drive it.
Most teams optimise onboarding toward a guessed activation metric. We find the specific early behavior that actually predicts whether your users stay from your data, not assumptions. Then we build state-based emails to drive more users toward it. We can show you your signal in 48 hours.
Sendlyr tested early product behaviors against 12-week retention. One milestone reached by users in their first 14 days predicted 39.5% retention vs 34% for everyone else. We then used user state to move more users toward it.
The hard part is not writing emails. It is knowing what to drive.
Most teams optimise toward a guessed activation metric. Even if the emails are well written, they can still push users toward the wrong behavior.
Optimising toward the wrong behavior
Most teams pick an activation metric because it sounds right. Without testing it against retention data, you cannot know if you are driving the behavior that actually makes users stay.
Open rates that do not move retention
A well-written email sent toward the wrong milestone improves engagement metrics and leaves retention unchanged. The metric to optimise is behavior, not opens.
Building before knowing
The workflow comes first, the analysis comes later, and the team never knows whether the journey is aimed at the right moment.
Find the milestone first. Then write the lifecycle.
Sendlyr tests your product behaviors against retention, identifies the early behavior that predicts retention, and stages every email for your review before anything sends.
The milestone comes from data, not guesswork
We test early product behaviors against your retention outcomes the same method Ramli John describes in Product-Led Onboarding. The winning behavior becomes the target your emails drive toward.
Emails built around the activation milestone
Every email in the sequence exists to move users closer to the milestone. Users who reach it early get different emails than users who are stuck. Same product, different message based on behavior.
You approve every email before it sends
Nothing goes out without your review. The system stages each email you read it, see why it was chosen, and approve or reject. Human judgment stays in the loop.
We do not guess the activation moment. We test it.
For Typesy, we compared early product behaviors against 12-week retention and selected the milestone with the strongest useful lift and enough coverage to matter. We only show the approved headline signal; other tested behaviors are masked to protect customer data.
The early behavior that predicts retention was clear: one milestone reached by users in their first 14 days retained at 39.5%, a 5.5 percentage point lift over baseline.
Every other tool assumes you know which behavior predicts retention.
Sendlyr finds it first. The emails, segments, and review queue come after the data shows which milestone is worth driving.
See it on your users
in 48 hours.
Book a 48-hour analysis. We will look at your product data, test behavioral hypotheses against your retention outcomes, and show you the early milestone that predicts whether your users stay before we write a single email.