Retention analytics services

Work built around the decision you need to make.

From finding the truth in existing data to building a repeatable retention practice, each engagement has a defined question, output and finish line.

01

A prioritised retention brief

Retention Curve Audit

A focused review of activation, early churn, and long-term retention across your app's key user cohorts.

  • Cohort and segment design
  • D1, D7, D30 and rolling retention analysis
  • Drop-off diagnosis
  • Leadership-ready findings workshop
Ask about retention curve audit
Analytics charts displayed on a laptop screen

Typical duration2–3 weeks

02

A measurement plan your team can implement

Cohort Instrumentation

Define the events, identities, and lifecycle markers needed for dependable retention measurement.

  • Event taxonomy review
  • Identity and account logic
  • Data quality safeguards
  • Analytics tool implementation notes
Ask about cohort instrumentation
Rows of illuminated data servers

Typical duration1–2 weeks

03

A tested path to stronger repeat use

Retention Growth Sprint

Turn curve insights into testable changes across onboarding, engagement, and reactivation.

  • Opportunity sizing
  • Experiment design
  • Weekly analysis reviews
  • Next-quarter retention roadmap
Ask about retention growth sprint
A team collaborating around a table

Typical duration4–6 weeks

Not sure where to start?

Bring us the business question, not a perfect brief.

We’ll help distinguish a measurement gap from a product or lifecycle problem, then recommend the smallest useful engagement.

Describe the question