How it works

Find the behavior that leads users forward.

Your product data enters Sendlyr. We find a leading indicator, your lifecycle stack guides users toward it, and measured outcomes return so the indicator sharpens.

The system

Find. Guide. Learn.

01 / Find

Find the leading indicator.

Sendlyr reads your product data to identify the early behavior, window, and coverage that matter.

02 / Guide

Guide users toward it.

Your lifecycle stack drives users toward the indicator, with testing to confirm what changed.

03 / Learn

Sharpen the indicator.

Measured outcomes return to refine the behavior, timing, and coverage.

Five working steps

From product data to a sharper indicator.

Each step keeps the behavior, lifecycle guidance, and measured outcome connected.

  1. Bring product data in.

    Connect the events, eligible cohort, and outcome from the systems you already use.

  2. Find the leading indicator.

    Identify the early behavior, time window, and coverage most useful for lifecycle guidance.

  3. Guide users toward it.

    Turn the indicator into a clear direction for your existing lifecycle stack.

  4. Return measured outcomes.

    Bring the behavior and business result back into Sendlyr with the uncertainty visible.

  5. Improve the indicator.

    Use the new evidence to sharpen the behavior, window, and coverage.

Evidence guardrails

Every claim keeps its boundary.

Correlation

Shows an association. It does not prove the behavior caused the outcome.

Leading indicator

Identifies an early behavior connected to the defined outcome. It guides the lifecycle stack; it is not the outcome itself.

Measured outcome

Shows what changed after the lifecycle guidance, with the uncertainty stated. See the corrected Typesy case study, where the behavior moved and conversion did not.

Operating rule

Earns a go, stop, or iterate conclusion only from the complete readout.

What leaves the room

A decision-grade readout.

IndicatorLeading indicator definition

Behavior, event quality, coverage, timing, and relationship to the outcome.

GuidanceLifecycle direction

The behavior your existing lifecycle stack should guide users toward.

ReadoutOutcome evidence and learning update

What changed, the stated uncertainty, and how the evidence improves the indicator.

Bring your product data

Leave with a leading indicator your team can use.

We will assess data, cohort, lifecycle-stack, and outcome fit before the Pilot begins.

Request a Signal Validation Pilot