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Data & Research AI
Analytics & BI Intelligence
Beauty, Spa & Wellness

Member Performance Analytics and Studio BI for an Indoor-Cycling Franchise


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Problem

Ride stats siloed per studio

A 45-studio indoor-cycling franchise delivered post-class performance stats from each studio's own bike system, so members saw a one-off email and nothing more. There was no personal trend view across studios, franchise headquarters had no network-level picture of occupancy or instructor performance, and schedule decisions were made on gut feel.

Solution

Network-wide analytics platform

We built a central data platform ingesting bike telemetry and booking data from all 45 studios, then delivered two products on top of it: in-app member dashboards with personal records, trends and cross-studio ride history, and a BI suite giving studio owners and headquarters occupancy heatmaps, instructor benchmarks and early-churn indicators to steer schedules and coaching.

Measurable Impact

What changed after launch

61% of active members now check their performance dashboard at least weekly

Booking frequency among dashboard users up 19% versus non-users over 12 weeks

Underfilled class slots reduced 14% network-wide after BI-driven schedule changes

All 45 studios onboarded to the shared platform within 5 months

Tech & Tools Used

What powered the build

Python
Apache Airflow
Snowflake
dbt
Metabase
React Native
Node.js
PostgreSQL
AWS S3

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