Priya Ravenscroft

Behavioral trigger systems need gates that separate relevance from permission.

Linking product behavior to account state reveals who's ready to adopt and what message will work.

Login frequency masks whether customers actually use your product or are quietly leaving.

Separate activation from retention to diagnose whether users can't find features or won't use them.

Measure adoption only among customers who could actually use the feature.

Measure time-to-value per feature, not product-wide, to find what actually drives adoption.

Real adoption means repeated use, not just a single click.

Find the user action that predicts retention, not just onboarding completion.

Regulators treat product events as personal data subject to strict collection and retention rules.

Define activation behavior precisely before instrumenting, or your metrics will mislead you.

Server-side and client-side tracking each fail differently.

Fix identity collapse at instrumentation time with explicit user and account IDs.

Connect feature flags to user behavior to measure what actually changed.

How to structure event tracking so product, growth, and sales can trust the data.