Are you using the right technology to maximize member retention?
Amazon and Netflix have been using member data and artificial intelligence to retain members for years. Micoachee now brings that technology to the fitness industry giving you a new tool to substantially improve your membership retention rates.
We are not just data focused, we’re retention focused.
Benefits of working with us:
Increased revenue & profitability
Increase member lifetime value
Automate member engagement
Increase engagement and individualize process
Easier upsell/ cross sell opportunities
Increase net promoter scores with new insight of member
Facilitates sustainable growth
Grow your best member segments and know who is at risk
What We Do?
Our data science models use your membership data and break it down into hundreds of thousands to millions of data points that can be used to diagnose and predict your member’s retention behavior.
- We use proprietary machine learning models to predict future member churn
- We do in depth analysis of who your best and worst members are and why
- We recommend best practises and programs to improve retention and engagement based on your data
How we do it?
We analyse member data, diagnose, predict and prescribe retention opportunities with machine learning.
We help you gather critical member satisfaction data.
MiCoachee: Tells You
Understanding why member churn is happening and in more detail then you have ever experienced
Using historical patterns to predict specific retention outcomes - we share with you who your highest member risks are
What specific actions to take to improve retention based on your outreach programs
MiCoachee will automatically collect and gather critical data for you, so you don’t have to
Targeted engagement plans for high risk members
Create customized retention engagement plans for specific group
Improved on-boarding programs
Automated member follow up
Automate important data gathering
Automated intervention notice for high risk members
Automated net promotor score data gathering and analysis
Member satisfaction analysis