OTT Learning
Analytics
Advanced
Live daily lectures

Advanced Retention & Lifetime Value

Model churn, predict it, and design the interventions that stop it.

Taught live by Sameer Iyer, Head of Growth Analytics, streaming platform

About this cohort course

An advanced analytics cohort: survival models for churn, LTV forecasting, cohort economics, experiment design for win-back and pricing, and building a retention dashboard your leadership actually uses.

Who this course is for

  • Analysts and data scientists in subscription video
  • Growth leads owning retention
  • Finance partners modelling subscriber revenue

Course outline

5 modules, taught live one lecture at a time.

  1. 1

    Module 1 · Churn as survival

    Hazard rates, survival curves and why monthly churn lies.

  2. 2

    Module 2 · Predicting churn

    Features, models and acting on scores.

  3. 3

    Module 3 · LTV forecasting

    Cohort economics and payback.

  4. 4

    Module 4 · Experiment design

    Win-back, pause offers and pricing tests.

  5. 5

    Module 5 · The retention dashboard

    Metrics that drive decisions, not decoration.

What you should know before joining

  • SQL comfort
  • Basic statistics
  • Subscriber Retention Analytics or equivalent

What you'll be able to do after this cohort

  • Build a churn prediction model
  • Forecast LTV by cohort
  • Design and read retention experiments
  • Ship a retention dashboard leadership trusts

Meet your faculty

S

Sameer Iyer

Head of Growth Analytics, streaming platform

Sameer builds retention and LTV models for subscription video businesses.

  • Built churn prediction in production
  • Owns LTV forecasting for a national platform
  • Ran hundreds of retention experiments

Cohorts

Cohort 01 · Aug 2026

Starts 30 Jul 2026 · ends 4 Sept 2026

Live lecture every weekday, 8:30–9:30 PM IST

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