Hero
Conversion & Retention
Analytics & Performance Tracking
Premium Fitness Clubs

Member-Journey Measurement Stack for a Premium Fitness Collective


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Problem

Churn invisible until cancellation

An 18-club premium fitness collective could not answer which classes, coaches, or offers kept members from cancelling. Check-ins, class bookings, app sessions, and billing lived in four disconnected systems, retention reporting meant three days of manual exports, and the first signal of churn was the cancellation email itself. Win-back offers went out blind, weeks too late.

Solution

Unified member-journey analytics

We built a member-journey measurement stack: event tracking across check-ins, bookings, app usage, and billing unified into one warehouse schema, modelled into per-member engagement histories. On top sit retention dashboards for every club and a churn-risk score that flags disengaging members early, feeding weekly outreach lists to club managers with the classes and coaches each member actually values.

Measurable Impact

What changed after launch

Monthly membership cancellations fell from 4.2% to 3.4% within two quarters of risk-based outreach

63% of eventual cancellations were flagged by the churn-risk score at least 30 days in advance

9 in 10 member touchpoints across 18 clubs now land in a single analytics event schema

Weekly retention reporting cut from 3 days of manual exports to same-day dashboards

Tech & Tools Used

What powered the build

Segment
Google BigQuery
dbt
Apache Airflow
Python (scikit-learn)
Metabase
PostgreSQL
Next.js
Braze

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