Acquiring a new member can cost up to seven times more than retaining an existing one.
Our predictive model analyses each member’s behaviour and identifies, with 80% accuracy validated in production, who is most at risk of cancelling within the next 60 days.
Each member is given a risk score from 0 to 100, together with a clear explanation of the factors increasing their likelihood of leaving.




HOW WE HELP YOU IMPROVE MEMBER RETENTION
Without a predictive model, contacting 100 members at random identifies around 14 who are genuinely at risk.
With FitnessKPI, that number can rise to 63.
Your team spends less time on unproductive outreach and gets more from the same time and resources.
Knowing a member is at risk is not enough.
Each prediction can include up to three factors, such as lower visit frequency, no recent visits or outstanding payments.
Every conversation starts with context and can be tailored to the member’s situation.
Not every at-risk member has the same likelihood of cancelling.
The predictive score helps identify members who are up to eight times more likely to leave, so your team can focus where it matters most.
Each member gets the level of attention their risk warrants.