Used by hundreds of facility operators each week, the ActiveXchange Operator platform enables sports, recreation, and fitness centre operators to unlock organizational data, providing a simple to use platform, shaping operational insights, facility programming, marketing and strategic decisions that increase member and community impacts.
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?
Which members are at risk of cancelling next and how can we best mitigate this risk?
View community site and facility locations across any geographic location. View demand and conversion of your facilities
View and analyze population demographics, and health & wellbeing profiles across neighbourhood, city, and provincial geographies
Analyze membership trends for current members, joiners and leavers, and understand member status breakdown by age/gender
Drive revenue generation, reduce costs operationally and across programming, and identify gaps and gains in local markets
Analyze participant demographics, popular programming, and develop optimal delivery timetables based on data insights by sector & site
Review student statistics for each course, such as student duration & levels progressed, enrolments and geographic breakdown
Analyze community outreach and engagement targets for equity seeking and underserved community groups compared to industry benchmarks
Analyze 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 analyze the impact of planning and investment decisions, optimise site selection, and allocate resources in the areas that matter to your organization, your stakeholders, and your community.
Which members are at risk of cancelling their membership?
Using machine learning (AI) and predictive modeling, 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 canceling their membership at any point in time - using more than 40 variables - to maximize your customer lifetime value.
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