Stop Losing Members You Didn't Know Were Leaving
The average gym loses 30-50% of its members annually — and most owners don't realize a member is gone until the cancellation email arrives. GymWyse AI churn prediction identifies at-risk members 30 days before they cancel, giving you time to intervene with personalized re-engagement that actually works.
Member Churn Is a Silent Revenue Killer
Most gyms discover a member has churned after the fact — when the cancellation request hits or the payment stops going through. By then, the member has already mentally checked out. The warning signs were there for weeks: declining visit frequency, fewer class bookings, missed check-ins, reduced engagement with the app. But without the right tools, these signals are invisible. The cost is staggering. A gym with 500 members and 8% monthly churn loses 40 members every month. At $50 average membership, that's $24,000 in annual revenue walking out the door every single month. And acquiring a new member costs 5-7x more than retaining an existing one.
Average monthly gym churn rate
Revenue lost per 40 churned members/mo
Cost of acquisition vs retention
AI That Sees Churn Before It Happens
GymWyse analyzes 14 behavioral signals including visit frequency, booking patterns, payment history, app engagement, class variety, and check-in timing. When the algorithm detects a member drifting toward cancellation, it flags them and triggers personalized re-engagement automatically. No manual tracking, no guesswork, no spreadsheet audits.
Early warning before cancellation
Average churn reduction
Average saves per gym
Behavioral analysis points
How GymWyse Prevents Churn at Every Stage
Four integrated modules that detect, engage, recover, and measure — so no member slips through the cracks.
AI Risk Scoring
Analyzes visit frequency trends, booking behavior changes, payment reliability, app engagement drops, class variety reduction, and check-in timing shifts. Each member gets a dynamic risk score updated daily. Dashboard shows all at-risk members ranked by cancellation probability.
- Visit frequency trend analysis detecting gradual decline before it becomes absence
- Booking behavior monitoring for changes in class types, scheduling, and cancellations
- Payment reliability tracking including late payments and failed charge patterns
- App engagement scoring based on login frequency, feature usage, and interaction depth
Automated Re-engagement
When a member crosses a risk threshold, automated campaigns trigger. Personalized based on the specific warning signals: a member with declining visits gets a different message than one with payment issues. Options include check-in messages from staff, special class recommendations, limited-time offers, and personal outreach prompts for trainers.
- Risk-signal-specific campaign triggers tailored to each member's warning pattern
- Staff check-in messages that feel personal even though they are automated at scale
- Smart class recommendations based on the member's history and schedule preferences
- Trainer outreach prompts for highest-risk cases that need a personal touch
Win-Back Sequences
For members who do cancel, automated win-back sequences deploy at strategic intervals (7 days, 30 days, 90 days). Customizable offers and messaging. Track win-back conversion rates by sequence type and timing.
- Strategic timing at 7, 30, and 90 day intervals post-cancellation
- Customizable offers and messaging for each stage of the win-back journey
- Conversion tracking by sequence type to identify what works best
- A/B testing support to continuously optimize win-back performance
Retention Analytics
Track churn rate trends over time. Identify which member segments have highest risk. See which re-engagement campaigns drive the best save rates. Compare retention metrics month-over-month and against industry benchmarks. Know your exact cost-per-save.
- Churn rate trend tracking with month-over-month and year-over-year comparisons
- Member segment analysis showing which groups have the highest cancellation risk
- Campaign performance metrics revealing which re-engagement approaches drive the best save rates
- Industry benchmark comparisons so you know where you stand relative to similar gyms
The Foundry, London
450-member CrossFit and functional fitness facility.
Challenge
Monthly churn had crept to 9.4% — losing over 40 members per month. The owner was spending £2,000/month on Facebook ads to replace them, creating a costly acquisition treadmill. No visibility into which members were at risk until they cancelled.
Solution
Deployed GymWyse AI churn prediction across the full membership base. Within 48 hours, the system flagged 67 at-risk members. Automated re-engagement campaigns launched for each based on their specific risk signals.
Monthly churn (from 9.4%)
Saved via early intervention
Reduced ad spend on replacement acquisition
Net revenue impact
“We were on a treadmill — losing 40 members a month and spending thousands to replace them. GymWyse flagged 67 at-risk members in the first 48 hours. We saved 22 of them that month alone. The reduction in churn paid for the platform ten times over.”
Jack Morrison
Owner, The Foundry
How It Works
From silent signals to saved members — in four steps.
Monitor
GymWyse continuously analyzes 14 behavioral signals for every member, building a dynamic risk profile updated daily.
Detect
When patterns indicate a member is drifting toward cancellation, the AI flags them and assigns a risk score with the specific warning signals identified.
Engage
Automated re-engagement triggers based on the specific risk signals. A member with declining visits receives different outreach than one with payment issues.
Retain
Track which interventions work. Measure your save rate. Optimize campaigns based on data. Watch your churn rate drop month over month.
“Our churn was 8% and we thought that was normal. GymWyse showed us it didn’t have to be. Six months later we’re at 4.9% and the AI catches at-risk members we never would have spotted manually.”
Rachel Kim
Owner, Momentum Fitness
“The automated re-engagement is a game-changer. I used to personally call members when I noticed they hadn’t been in for a while, but I’d only catch a fraction of them. Now the system catches everyone and I only need to get involved for the highest-risk cases.”
Ben Taylor
Manager, Peak Athletics
Frequently Asked Questions
Everything you need to know about AI churn prediction.
Every Member You Save Is Revenue You Keep
Stop spending 5x more to replace members when you can spend a fraction to keep them. AI churn prediction included at no extra cost.