Retention analytics

A recurring theme inside Feature Launch signals for Product Analytics. Explore real examples and the stored reasons behind this classification.

Product Analytics · Feature Launch · 1 signals | ▲ 100% in last 30 days

Analytics methods focused on predicting and improving customer retention outcomes.

Themes group similar “reasons” across many signals so you can quickly spot what’s consistently driving launches, positioning shifts, conversion angles, or pain points in this space.

  • Use it for GTM: refine messaging, prioritize feature bets, or validate objections.
  • Use it for competitive intel: see which narratives and problems show up repeatedly.
  • Evidence: examples below include the stored reason (and optionally the source link).

Why this theme is showing up

Real examples with the stored reasons/explanations.

ChartMogul · 2026-02-05

Gist: The product team released two small updates: in-app helper text for filters and a new filter showing paid subscription quantity before churn, improving analysis of retention by license/seat count.

Signal reason: Backfilled from StrategicSummaries.IncludedSignalTypeSlugsJson (feature-launch)

Source