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Cohort analysis

Group customers by a shared starting event and compare retention, revenue and contribution over consistent periods.

Quick answer

Cohort analysis tracks groups of customers that share a defined starting event, such as first purchase or subscription start, and compares their behaviour over elapsed time. It helps separate changes in customer quality, retention and economics from changes caused by business growth or mix.

Use the worked example

Meaning and transaction use

An SEC filing describes contribution-margin analysis for customers acquired in a specified fiscal-year cohort and states which shared costs are excluded. [S1]

Another SEC filing explains that its customer cohorts are grouped by the year customers first signed subscription agreements and uses a consistent observation month. [S2]

Proposed control method: freeze each cohort definition and reconcile member-level activity through the observation periods.

Worked example

Illustrative customer cohort only. Assume 1,000 customers were acquired in Q1; 760 remain active after six months and 640 after twelve months.

Scroll the table horizontally to view all columns.

MeasureCalculationResult
Opening customersGiven1,000
Six-month retention760 / 1,00076.0%
Twelve-month retention640 / 1,00064.0%
Loss from month 6 to month 12760 - 640120 customers

The illustrative cohort retains 64.0% of opening customers at month 12.

Proposed transaction review process

Define cohorts

Choose the start event, period, segment and measure.

Reconcile members

Assign each customer once and retain source identifiers.

Track elapsed time

Measure activity, revenue, margin and retention consistently.

Compare and act

Identify changes by cohort and test operational drivers.

Evidence checklist

Membership

Customer identifier, start event and cohort period.

Activity

Orders, usage, billing, credits and cancellations.

Economics

Revenue, variable cost, contribution and acquisition spend.

Definitions

Observation dates, reactivations, exclusions and data changes.

Decision framework

SituationProposed action
Recent cohorts retain lessTest product, channel, pricing and onboarding drivers.
Cohorts have different maturityCompare the same elapsed periods.
Reactivations are materialReport them under a consistent rule.
Contribution improves while retention fallsAssess price, mix and acquisition quality together.

Common errors to check

  • Comparing cohorts at different ages.
  • Changing membership after the start date.
  • Mixing customer and revenue retention.
  • Ignoring channel or product mix changes.

Build the cohort evidence base

Bring customer-level starts, activity and economics to a cohort review. Reconcile retention and contribution by elapsed period.

Discuss the transaction

Primary references and editorial scope

  1. SEC filing: Customer-cohort contribution analysis
    Example contribution analysis for a customer acquisition cohort and disclosed cost exclusions. Reference checked 17 September 2026.
  2. SEC filing: Subscription customer cohorts
    Example cohort grouping by subscription start year and consistent observation timing. Reference checked 17 September 2026.
Editorial qualification

General transaction education using public United States filings. Figures are hypothetical. Cohort results depend on the selected event, measure, period and data treatment.

General business information. Obtain advice appropriate to the legal, tax, accounting and financing facts. No offer, lender commitment or transaction outcome is represented. All worked examples use expressly assumed figures. Editorial draft date: 17 September 2026.

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