Listening to your association members is good, but using data to develop personalized success stories is even better.
Thomas Altman and Dray McFarlane share insights on the Mary Byers Successful Associations Podcast.
Explore the member data you need to build a reliable AI model including the type, amount, and recency of data as well as the responsiveness of your model.
Part 6 of a 6-part series. You can build a great organization and grow pretty quickly, but you can’t sustain it unless you’re actually providing something people want and keeping them around. That’s why member retention is the holy grail—and, unfortunately, one...
Part 5 of a 6-part blog series. Too often associations focus intently on their mission and vision while largely overlooking finances and operations until a crisis looms. But did you know financial modeling can help you more...
Part 4 of a 6-part blog series. You’re probably already analyzing market surveys to find member attributes and motivations, right? But did you know you can design a predictive model to automate this process AND create more engaging programs for your members? ...
Everything you do within your association involves some sort of risk. But predictive risk analytics provides the crystal ball we need to expect the unexpected.
Using predictive analytics to power your financial forecasting is an invaluable way to plan your financial future and membership growth over any given period of time.
Predictive analytics offers your association a way to segment and target your members to get a good look at what actually differentiates them—not just what your best guess is.
Each member of your association is clearly worth more than the dues they pay. But when you learn the monetary value of your members, you are able to give them a better experience.