15 articles
RetentionA SaaS retention curve that never flattens is a product diagnosis, not just a metric problem. Learn how to read the curve, identify the cohort segments with the flattest retention, and apply the right tactics at the right stage to drive asymptotic retention.
Product AnalyticsA head-to-head comparison of Amplitude, Mixpanel, and PostHog across retention analysis depth, funnel cohorts, behavioral segmentation, SQL access, pricing, and integration ecosystem — with a decision matrix by company stage.
Product AnalyticsA practical guide to building funnel visualizations that correctly represent conversion and retention, avoid the most common anti-patterns, and connect each funnel stage to the metrics that drive product decisions.
PricingUse cohort analysis to run pricing experiments that isolate causal effects from confounders. Covers cohort design, measurement windows, holdout groups, and interpreting cohort-level pricing signal.
AnalyticsHow to detect cohort bankruptcy — when early cohorts retain worse than recent ones — identify its root causes, execute the recovery sequence, and recognize it as a leading indicator of revenue collapse.
AnalyticsWhat causes the cliff pattern in SaaS cohort retention curves, how to read it in a retention matrix, industry benchmarks for acceptable cliff depth, and the interventions that move the cliff upward.
AnalyticsThe decay pattern in SaaS cohort retention — what causes gradual continuous churn, how it differs from the cliff in intervention strategy, the half-life model for benchmarking, and what decay cohorts reveal about product-market fit quality.
Growth StrategyThe cohort rewind method uses historical retention curves to predict when a SaaS product will hit its next Growth Ceiling — before aggregate metrics show any warning sign. Learn the technique, the inputs, and how to act on the forecast.
RetentionHow to use cohort analysis to separate seasonal acquisition and churn patterns from structural product problems — with specific diagnostic steps, benchmarks, and the Growth Ceiling implications of misreading seasonality as decay.
ExpansionWhat causes NRR to stall at 100% and how to diagnose the expansion ceiling — covering the 4 ceiling types (product, market, motion, pricing), how to distinguish them with cohort data, benchmark NRR profiles by segment and stage, and the recovery playbook for each ceiling type.
RetentionHow expansion and churn interact differently by customer segment — covering expansion churn (accounts that expand then churn), the binge-and-purge pattern in PLG companies, segment-specific expansion churn rates, contraction as a leading churn indicator, and cohort-level expansion churn diagnosis.
PricingAttribute revenue and retention outcomes to promotional pricing campaigns with the rigor that separates signal from noise. Covers incrementality testing, holdout design, long-run cohort tracking, and the metrics that reveal whether promotions are investments or margin leaks.
ExpansionHow to build usage forecasts that reliably predict NRR in consumption-based SaaS — covering leading indicators, cohort-based usage regression, the 90-day usage cliff signal, expansion timing benchmarks, and the distinction between capacity pricing and consumption pricing.
AnalyticsHow to build, read, and act on retention cohort data segmented by customer type. SMB vs enterprise benchmarks, cohort decay curves, ICP cohorts, and the 3-step retention cohort audit.
SaaS MetricsLearn the 7 revenue quality signals that separate durable ARR from vanity metrics. Covers NRR, logo concentration risk, cohort durability, and what high-quality ARR commands in valuation multiples.