Subscriber Retention Analytics

Course outline

5 modules, taught live one lecture at a time.

1. 1

   Module 1 · Streaming metrics that matter

   Watch time, viewing sessions, retention curves and the definitions teams most often get wrong.

2. 2

   Module 2 · Cohort retention analysis

   Building and reading cohort curves, separating seasonality from real decay, and spotting a churn problem early.

3. 3

   Module 3 · Churn prediction & win-back

   Feature selection, simple churn models, and designing win-back campaigns that pay for themselves.

4. 4

   Module 4 · Content-to-retention attribution

   Linking a title release to subscriber behaviour and answering the question every content head asks.

5. 5

   Module 5 · Dashboards leadership reads

   Designing an executive streaming dashboard and presenting an analysis that leads to a decision.

What you should know before joining

• Basic spreadsheet skills; SQL is helpful but optional
• Curiosity about data — no statistics degree needed
• Everything is taught from the ground up, so beginners are welcome

What you'll be able to do after this cohort

• Build retention and churn cohorts for a streamer
• Attribute retention to specific titles and releases
• Run win-back experiments that pay for themselves

Meet your faculty