Gym memberships, check-ins, classes, and churn
Industry
Fitness club operations and membership analytics
Company size
12 clubs across four metros, about 23K members billed in an average month
Membership scale
Roughly 42K lifetime member records
Revenue scale
About $66M of total club revenue, roughly $57M of it membership billing
Engagement scale
About 1.5M club check-ins, roughly three visits per active member per month
Club economics
Group margin near 25%, from about 35% at the strongest site to about 5% at the newest
Dataset scope
10 Standard-tier tables
Voskelle Fitness Clubs is a fictional regional fitness group running 12 clubs across four metros, selling monthly memberships, group classes, and personal training. The group is working a margin squeeze: the roster grew and then settled back, while fixed rent and payroll kept climbing against it, so every point of retention shows up in the P&L. The kit follows that story from club revenue and active members down to check-ins, class attendance, training sessions, monthly billing, and club-level profit and loss. It is built for membership, retention, and club-finance analysis rather than as a billing system of record.
These are the operating questions this kit is optimized to answer first.
Connect membership, personal-training, and ancillary revenue to active members and club margin month by month.
Compare metro, format, and club performance where fill against fixed rent and payroll genuinely separates margins.
Follow members from join through check-ins, classes, and training to activity, a hold, or churn, and see how much the plan changes it.
Trace monthly club P&L down to billing detail and individual member activity.
Tie monthly membership revenue to member-level dues and personal-training revenue to sessions.