CRM Data Hygiene Score

Estimate data quality issues affecting your lead and member management.

Your Inputs

Range: 500 - 100000
12%
2%30%
15%
0%40%
8%
0%30%
35%
10%60%

Results

CRM Hygiene Score42/100
Estimated Duplicates600
Records Missing Phone750
Records Missing Email400
Stale Records (90+ Days)1,750

Key Insights

  • Hygiene score below 60 indicates significant data quality issues impacting operations.
  • 600 duplicate records waste staff time and create confusion.
  • Consider quarterly data cleanup sprints and automated duplicate detection.

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How to Use This Tool

This calculator helps multi-location fitness operators analyze estimate data quality issues affecting your lead and member management.

**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 Leads in CRM

The total leads in crm for your calculation.

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

Est. % Duplicate Records

The est. % duplicate records for your calculation.

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

% Missing Phone Number

The % missing phone number for your calculation.

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

% Missing Email

The % missing email for your calculation.

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

% Stale (No Activity 90+ Days)

The % stale (no activity 90+ days) 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

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Standard operating procedures for front desk operations across locations