Predicting Gym Member Drop-Off
Spot gym members losing motivation before they quit
Pau AnalyticsInteractive dashboardMember activity · churn model
Dashboard filters
Filter members to explore specific segments and risk profiles
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Total Members
Members Analyzed
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Overall Churn Rate
Members Who Left
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At-Risk Members
Require Attention
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Avg Visits / Month
Member Engagement
Churn distribution
Churned vs active members across the current selection
Source: gym member activity dataset (150 members).
Churn rate by membership type
Which plans lose members the fastest
Source: gym member activity dataset (150 members).
Churn rate by age group
Drop-off across age bands
Source: gym member activity dataset (150 members).
Visits per month by membership type
Average monthly visits, churned vs retained members
Source: gym member activity dataset (150 members).
Activity level breakdown
Member count, churn and engagement by activity tier
| Activity Level | Total Members | Churned Members | Churn Rate | Avg Visits/Month |
|---|
Source: gym member activity dataset (150 members).
Visits vs workout duration
Each point is a member, coloured by churn status
Source: gym member activity dataset (150 members).
Favorite exercise distribution
How members split across exercise types
Source: gym member activity dataset (150 members).
Churn rate by favorite exercise
Drop-off rate within each exercise group
Source: gym member activity dataset (150 members).
Days since last visit vs membership tenure
Each point is a member, coloured by churn status
Source: gym member activity dataset (150 members).
Workout duration distribution by churn status
Member count per duration band, churned vs active
Source: gym member activity dataset (150 members).
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High-Risk Members
At risk, still active
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Retention Opportunities
At risk but visiting 10+ / month
Churn rate: age group vs membership type
Churn rate by age band, split by plan
Source: gym member activity dataset (150 members).
Top 20 at-risk members
Lowest engagement first: the members to check on this week
| Member ID | Age | Membership | Visits/Month | Days Since Last Visit | Risk Status | Churn |
|---|
Source: gym member activity dataset (150 members).