Used by hundreds of facility operators each week, the ActiveXchange Operator platform enables leisure, aquatic and fitness centre operators to unlock organisational data, providing a simple to use platform, shaping operational insights, facility programming, marketing and strategic decisions that increase member and community impacts.
How are we tracking post-COVID and how can we maximise returns and social impacts over the next 12-18 months?
Which members are at risk of cancelling next and how can we best mitigate this risk?
What offer should we consider adopting next to best meet the needs of our members and better engage target prospects?
What are the optimal fitness and swim school timetables per member segment to ensure demand is met and attendance is high?
View community site and facility locations across any geographic location. View demand and conversion of your facilities
Population, equity, diversion & inclusion (EDI) and health & wellbeing profiles at LSOA, Ward, District, and County geographies
Analyse membership trends for current members, new joiners and cancellations, and view member status breakdown by age/gender
Drive revenue generation, reduce costs operationally and across programming, and identify gaps and gains in local markets
Analyse member demographics for fitness programs by sector and site, and develop optimal fitness program timetables based on data insights
Analyse student statistics for each course, such as student duration & levels progressed, enrolments and geographic breakdown
Analyse community outreach and engagement targets for equity seeking and underserved community groups compared to industry benchmarks
Analyse membership trends, forecast future membership numbers, and understand venue & program engagement
What's working? What's not? What's next?
Movement data allows you to analyse the impact of planning and investment decisions, optimise site selection, and allocate resources in the areas that matter to your organisation, your stakeholders, and your community.
Which members are at risk of cancelling their membership?
Using machine learning (AI) and predictive modelling, and leveraging a wide set of data from across the sector, our Data Science team predicts at risk-members. This module estimates each member's relative risk of cancelling their membership at any point in time, using more than 40 variables to maximise your customer lifetime value.