Guides & Technical Insights
Analytical essays, telemetry engineering guides, and mathematical perspectives on measuring, modeling, and improving application retention.
Identifying Natural Usage Frequency in B2B and Consumer Applications
How to empirically measure your app's authentic user return cadence to avoid notification over-saturation and artificially induced churn.
Telemetry Hygiene: Cleaning Event Schemas for Accurate Cohort Analysis
Common telemetry bugs, schema drift errors, and event naming pitfalls that corrupt application analytics and distort retention metrics.
Deconstructing Retention Curves: Unbounded vs. Bracketed Retention
Why choosing the wrong mathematical retention model produces misleading churn metrics and distorts product decisions.
Why Day-1 Retention Is the Silent Determinant of App Longevity
An analysis of why initial 24-hour user drop-off sets the mathematical ceiling for long-term Day-30 and Day-90 retention curves.