Cancellation Risk Predictor

Estimate members at risk of cancellation based on engagement patterns.

Your Inputs

Range: 100 - 50000
25%
5%50%
15%
5%40%
Range: 50 - 500

Results

Low Engagement Members750
No Visit in 30 Days450
High Cancellation Risk270 members
Annual Revenue at Risk$518,400

Key Insights

  • 270 members are at high risk of cancellation.
  • Members with no visit in 30+ days cancel at 3x the normal rate.
  • Proactive re-engagement outreach can save 20-30% of at-risk members.

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How to Use This Tool

This calculator helps multi-location fitness operators analyze estimate members at risk of cancellation based on engagement patterns.

**How to use this tool:** 1. Enter your current operational data in the input fields 2. Use actual figures from your management system when available 3. Review the calculated outputs and insights 4. Adjust inputs to model different scenarios 5. Download your personalized results for team discussion

For the most accurate results, pull real data from Club Ready or your scheduling system rather than estimating.

Understanding the Inputs

Total Active Members

The total active members for your calculation.

Best practice: Use actual data from your operations when available. If estimating, be conservative.

% with Low Engagement (1-2 visits/month)

The % with low engagement (1-2 visits/month) for your calculation.

Best practice: Use actual data from your operations when available. If estimating, be conservative.

% with No Visit in 30 Days

The % with no visit in 30 days for your calculation.

Best practice: Use actual data from your operations when available. If estimating, be conservative.

Monthly Dues ($)

The monthly dues ($) for your calculation.

Best practice: Use actual data from your operations when available. If estimating, be conservative.

Assumptions

  • Calculations use industry-standard benchmarks where specific data isn't available
  • Results are projections for planning purposes and may vary based on your specific market and execution
  • All time-based calculations assume consistent operational patterns

Sensitivity Notes

  • Location count has a multiplier effect on all network-wide calculations
  • Small percentage changes can have significant impact when multiplied across locations
  • Consider running multiple scenarios to understand the range of outcomes

Recommended Scenarios

Current State

Use your actual current numbers to establish a baseline

Growth Scenario

Project forward with increased location count

Optimization Target

Model your ideal state to set improvement goals

Frequently Asked Questions

Related Resources

Multi-Location Front Desk SOP

Standard operating procedures for front desk operations across locations