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Retention

Long-term engagement: cohort analysis, churn prediction, and lifetime value.

Warning chart visualizing user churn signals 30 days before cancellation

Churn Signals You Should Be Tracking 30 Days Before It Happens

By the time a SaaS user cancels, you’ve already lost. The cancellation is the announcement, not the decision — that decision was made weeks earlier, after a series of behavioral signals that almost nobody bothered to track. The good news… 

Retention curve graph highlighting day-1, day-7, and day-30 drop-off points

Retention Curves Explained: Day-1, Day-7, Day-30 and What They Hide

Every product team I’ve worked with eventually starts looking at retention curves. And almost every team gets the same three things wrong on their first attempt: they pick the wrong cohort window, they confuse rolling retention with classic retention, and… 

Analyst pointing at retention and cohort analysis dashboard on a screen

Cohort Analysis Fundamentals: Reading a Cohort Grid Correctly

I’ve seen cohort grids used to justify bad investment decisions at least three times. Each time, the problem wasn’t the data — the grid was correct. The problem was misreading it: comparing incomplete cohorts, averaging paid and free users into… 

Diagram showing SaaS event schema with trial, activation, retention, and expansion events

SaaS Event Schema: The Complete Reference

A complete reference for SaaS product analytics. All lifecycle events — from signup to churn — with parameters, data types, and data layer examples you can copy-paste into your tracking plan. Most SaaS teams track too little or too much.…