Feature adoption breadth decline

    Horizon: 50 days before churn. Number of distinct features used per user drops by 30%+. Signals a narrowing use case — the account is reducing dependence before deciding to cancel.

    How to detect it

    Track distinct feature events per user per 30-day window (PostHog / Mixpanel / product event stream). If the user's feature breadth drops below 70% of baseline, fire. Must be measured per-user then rolled up to account, not account-wide.

    Recommended intervention playbook

    Deploy a targeted feature-reintroduction campaign within 21 days. Identify which features stopped firing and why: (1) lost the team member who used them, (2) replaced by competitor, (3) broken by a recent release. Do not upsell; repair the core use case first.

    Industries where this signal is strongest

    • Dev Tools
    • BI/Data
    • Martech
    • CRM/Sales
    • Health Tech

    See full benchmark explorer across 11 industries →

    Other universal churn signals

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