Use your organization’s member data to predict and reduce member churn.
March 29th, 2023 - May 3, 2023
Your members are already telling you whether or not they’re planning to renew their membership. And if they’re not, they’ve already told you what could change their decision.
The only problem? They’re not saying it to your face.
So how do you catch on before it’s too late? You’re going to have to turn to your membership data to find out.
Join Sidecar and Tasio in a 6-week bootcamp where you’ll dive into your own association data to decipher the factors that increase your member renewal rates and create a game plan for member retention.
What's included in the bootcamp?
6 weekly 1-hour live online sessions with data expert Thomas Altman
Step-by-step instruction to build a workable retention model ready for implementation in your organization
How Other Assocation Pros Improved Member Retention
I'm going to practice these techniques using the example data, as well as our own organizational data. I would like to develop an engagement model that we can use specifically to do outreach to unengaged and first-year members to connect them with relevant member benefits.
I see it having an impact on the way I decide how and when to engage members especially when looking at retention/renewal season.
We are very concentrated on member retention and using data to do so. I am going to be pulling a lot of reports once our data is cleaner to really drill down into engagement and renewals and creating models and campaigns to reduce our churn.
How much does the bootcamp cost?
Registration for this bootcamp is $1,497 at the discounted Sidecar Member price or $1,797 for non-members.
Interested in that member discount? A Sidecar membership is $30 per month or $297 for the year.
Week 1 | What is member churn, why is it important and how do you measure it?
March 29, 2023, 10 a.m. CT
What is churn and why is it important?
How can churn affect your association’s membership growth and efforts?
How can data be used to increase retention?
Week 2 | How do we use our data to predict member retention?
April 5, 2023, 10 a.m. CT
How to take your association’s raw data and turn it into behavioral metrics.
Define Behavioral metrics and explain why these metrics matter to your organization.
Discover where you can find raw and behavioral data in your AMS.
Begin to transform your raw data into meaningful metrics using Pivot Tables and VLOOKUP.
Week 3 | How to use excel to visualize important features
April 12, 2023, 10 a.m. CT
Identify the difference between scatter plots, line graphs and bar graphs and summarize what each type of visualization will tell you about your data.
Use different visualizations to identify important relationships and begin to use the visualizations to tell a narrative about how the data relates to retention, as an actionable metric.
Week 4 | How to predict member retention
April 19, 2023, 10 a.m. CT
What is prediction and why it matters
How to make predictions from historical data
What to do with those predictions once they’ve been made
Week 5 | How to conduct A/B testing
April 26, 2023, 10 a.m. CT
How to create A/B campaigns without fancy or expensive software
How to evolve that outreach in the most intelligent and effective way possible
Explore vs exploit for constantly evolving content and messaging
Multi-armed bandit problem
Week 6 | AI and the future of member retention
May 3, 2023, 10 a.m. CT
Explore state of the art AI and Machine Learning techniques and tools, like ChatGPT
Understanding what AI tools are and how they can be used
Learn some tips and trick for using AI chat tools, like ChatGPT
How can you take advantage of what you’ve learned so far to be at the forefront of member retention
Learn how to leverage AI to generate individual outreach campaigns that target the right person at the right time with the right message
Meet your instructor.
Thomas Altman is a data scientist, association expert and entrepreneur. His first introduction to the world of associations was a decade ago when he took a job implementing AMS solutions right out of graduate school. With a degree in applied statistics and machine learning, he immediately saw a gap in what associations were doing with data and what was possible. He saw data either go unused or used to create flashy dashboards that had no impact on helping associations deliver on their missions. Thomas quickly realized that analytics that don't lead to measurable action are, at best, entertainment and, at worst, a waste of resources. He's dedicated his career to changing that and helping associations create data-driven action plans so they can know what needs to be done and know that it's working.
At Sidecar, we create the tools a leader needs to grow their career and their membership organizations, like associations and nonprofits. Learn more about us