Defining metrics for infrequent users means shifting from frequency-based KPIs to outcome and reactivation signals. Focus on activation milestones unique to their usage pattern—like completing a task they historically delay—and track re-engagement triggers. Measure success through time-to-next-session after exposure, feature adoption per visit, or increase in return rate over a fixed window. Avoid vanity metrics like total logins; instead, link behavior to long-term value, such as reduced churn after a sporadic user completes a targeted workflow. The goal is capturing meaningful, not frequent, interactions.
Related FAQs
What’s a good proxy for value for occasional users? Task completion rate and reduction in time per session are strong indicators.
Should retention be measured the same as for daily users
Should retention be measured the same as for daily users? No—use extended windows (e.g., 30- or 90-day) and track reactivation after notifications.
How do you isolate feature impact with low usage volume? Use intent-to-treat analysis and cohort by trigger exposure, not just usage.