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Payment Failure Recovery Calculator

Calculate revenue at risk from failed payments.

Your Inputs

Range: 100 - 50000
Range: 50 - 500
5%
1%15%
60%
20%90%

Results

Monthly Failed Payments150
Revenue at Risk$24,000
Currently Recovered$14,400
Additional Recovery Opportunity$6,000

Key Insights

  • 150 members have failed payments each month.
  • Current recovery rate of 60% leaves $9,600 unrecovered.
  • Automated retry sequences can improve recovery by 20-30%.

How to Use This Tool

This calculator helps multi-location fitness operators analyze calculate revenue at risk from failed payments.

**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.

Monthly Dues ($)

The monthly dues ($) for your calculation.

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

Monthly Payment Failure Rate %

The monthly payment failure rate % for your calculation.

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

Current Recovery Rate %

The current recovery rate % 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