Relevant patterns are tracked
The system uses available visit history, memberships and changes in usage frequency.
EARLY SIGNALS FOR YOUR TEAM
Member churn prediction
Churn prediction highlights changes in member behaviour, such as less frequent visits, so your team can respond before a member drifts away completely.
14 days free · no card required
INOGYM PLATFORMWEB + APP
Screenshots show the Serbian version of the app.
HOW IT WORKS
A clear path from data to useful action.
Every step is part of the same InoGym system, without duplicate entry or disconnected records.
Members needing attention are highlighted
The dashboard presents risk signals as priorities for review, not final conclusions about a member's behaviour.
Your team chooses the right response
Staff can check the context and contact the member with a helpful, personalised message.
BUSINESS VALUE
What does this feature change in everyday work?
InoGym connects the tasks of receptionists, managers and owners with the member experience.
Earlier action
Your team receives a signal while there is still time to understand the issue and help the member keep training.
Focused communication
Instead of sending everyone the same message, staff can prioritise members whose habits have visibly changed.
Clearer management tasks
Risk overviews create specific operational tasks that can be assigned and tracked.
Responsible use of data
The signal supports decision-making; the gym team always makes the final assessment and chooses how to make contact.
INSIDE INOGYM
A reason to talk, not an automatic verdict.
The dashboard highlights members to check on and gives your team the context needed for a timely, personal response.
- The same data in the dashboard and app
- Clear roles and access
- A view designed for everyday work
Churn risk
Know when to act.
Identify members at greater risk of leaving and check their activity.
Screenshots show the Serbian version of the app.
CLEAR ANSWERS
Frequently asked questions: member churn prediction
What you need to know before getting started with InoGym.
01What does member churn prediction mean?
It is an estimate based on changes in available data that alerts your team to check a particular member's situation.
02Does the system know for certain that a member will leave?
No. The result is a risk signal, not a fact. Fewer visits may have temporary causes, which is why human review matters.
03What data does the system use?
Relevant signals may include visit frequency and changes, membership status and other data your gym already records in the system.
04How should the gym respond to a signal?
Use a considerate message to ask about the member's experience and offer practical help, without presenting the estimate as a certainty.
PRACTICAL GUIDES
Explore this topic
Connect this feature to specific processes, measurements and decisions in everyday gym operations.
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Read the guideIT’S TIME FOR SIMPLER GYM MANAGEMENT
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See how InoGym connects your team’s daily work with the member experience.