21 days
Members inactive for 21+ days
Identify inactive gym members before they lapse or cancel.
GRIP — Gym Revenue Intelligence Platform
Stop losing members you could have kept.
GRIP detects early churn signals in your attendance data — weeks before members cancel.
RM500 · one-time analysis · no subscription
GRIP Snapshot
47
At-risk members
RM10.5k
Revenue at risk
23
Declining trend
Visit frequency — last 5 months
M1
M2
M3
M4
M5
The pattern you never see in your dashboard
Engagement drops long before the cancellation. Most gyms only notice when the member is already gone.
Typical member visit pattern before cancellation
Early warning zone
12
Month 1
Frequent
8
Month 2
Declining
3
Month 3
Minimal
1
Month 4
Almost none
0
Month 5
Cancelled
GRIP flags members in the early warning zone — when visit frequency starts dropping but before they stop coming entirely.
Most gyms track membership count, revenue, and signups. Engagement decline goes unnoticed until it’s too late. GRIP surfaces the gap between what your system records and what’s actually happening with member behaviour.
What GRIP detects
Analytics that support gym membership retention strategies and reduce gym membership churn.
3× drop
Members with declining attendance
Detect declining gym member engagement from visit trends.
Top %
Segments with highest churn probability
Prioritise who to re-engage first.
RM/mo
Revenue at risk from disengaged members
Quantify potential revenue leakage.
Peak hrs
Peak hour capacity pressure
Gym capacity utilization insights for planning.
Actionable
Retention opportunity insights
Actionable lists for outreach and offers.
How GRIP works
Analyze gym attendance data in three steps.
Export attendance logs
Export attendance logs from your gym system (CSV).
Upload to GRIP
Upload the CSV file into GRIP.
Receive your report
Receive a detailed operational intelligence report.
3–5 business daysSample report preview
A data report you can act on.
Member inactivity analysis
Members with no visits in 21+ days
47
Churn risk detection
High-risk members (declining attendance)
23
Revenue at risk estimation
Estimated monthly revenue at risk
RM10,500
Peak attendance hour analysis
Peak utilization window
18:00–20:00
72% capacity
Retention opportunity insights
Members recommended for re-engagement
15
Calculate your revenue at risk
See how much revenue early churn detection could protect for your gym.
1,000
100
5,000
RM150
RM80
RM300
Assumes ~5% of members are at churn risk and GRIP helps retain 20% of those.
Potential annual revenue protected
RM18,000
per year
Monthly revenue at risk
RM7,500
Identifying gym members likely to cancel before they leave gives you time to re-engage with offers, check-ins, or class recommendations. Small interventions can protect significant revenue.
CSV data requirements
Minimal data required. Works with any system that can export visit logs.
| Column | Required | Description |
|---|---|---|
| member_id | Yes | Unique member identifier |
| visit_timestamp | Yes | Date/time of each visit |
| membership_type | Optional | Plan or tier for segmentation |
| class_attendance | Optional | Class bookings or check-ins |
Built for Malaysian franchise gym operators
3–5
day turnaround
RM500
flat fee, no subscription
CSV
works with any gym system
“Early adopter feedback coming soon”
We’re onboarding our first gyms now. Your results could be featured here.
Run a GRIP Diagnostic on your gym data
One-time analysis. No subscription. Clear deliverables.
No subscription. No commitment.
RM500
per gym · one-time
- Churn risk member list
- Inactive member report
- Revenue leakage estimate
- Peak hour analysis
- Retention opportunities
Satisfaction guaranteed or we re-run the analysis.
Limited to 10 gyms per month.
Frequently asked questions
Your gym data already knows which members are about to leave.
GRIP simply helps you see it.