Once upon a time in an association not that far away, a Membership Director made churn-risk decisions by gut feel. And maybe she was right half the time—you do get a gift for such things after a while in the job. But in lieu of calling every member every month, there wasn’t much else she could do.
And then came the data. Modern CRMs and AMS platforms gave our protagonist (who bears more than a passing resemblance to your scribe) the ability to record member information like their program and event engagement, interests, and history with your organization. Later came engagement data, member journeys, activity in self-serve portals, social listening and more.
I know what you’re thinking: the more data you have the better, right? Let me introduce you to a frenemy of mine: The Reporting-Infrastructure Gap. It’s the space between what your association believes about your members’ engagement and what your system can actually prove. At best it’s annoying and at worst, misleading. It has two causes.
Cause 1: Your tech stack is fragmented by design
Most associations run separate tools for AMS functions like dues and renewals, CRM functions like relationships and engagement history, LMS tasks like certifications, plus events, email, and marketing automation. Each one captures a different view of the same member relationship but none can function as the system of record. Keeping the systems separate keeps your programs running smoothly because you can implement the best-fit tool, but without that view across the member journey, it will be difficult to understand conversion, opportunities for engagement, and churn risk.
Cause 2: Your team is closing the gap by hand
Development operations teams want to give leadership what they want. That makes sense, they like keeping their jobs. But if the system can’t show the member view that their bosses are demanding, they build spreadsheet workarounds, which also obscures that there’s a gap. Our poor besieged Membership Director now goes back to tracking churn risk in her head because the system only shows who renewed, not whose engagement is dropping. Board reports take days to produce because the data has to be manually reconciled before each meeting.
Scoring can help but it must be explicit
The scoring layer in modern AMS and CRM systems was pitched as a solution for this but more often than not, it simply inherits the problem. The 2026 GrowthZone Association Survey found that fully three-quarters of associations do not have a written plan for increasing engagement and 58 percent don’t have a community platform (to provide continual engagement data). The Center for Association Leadership (ASAE) found that only 29.7 percent had integrated engagement tools and 40 percent lacked regular member feedback loops.
For example, if an AMS records dues payments and event registrations but it can’t see webinar attendance or community forum posts, it will flag active members as disengaged and distract you from the ones actually at risk. The scoring model is only as good as the data that feeds it. Without a codified engagement plan that matches the metrics that matter in your data, you’ll always have conflicting information: What your system knows, and the conventional wisdom that drives much of our sector.
Six steps to close your membership reporting gap
Most associations are reporting on a stitched-together approximation of engagement because they can’t get the true picture to harmonize across their tools. The Reporting-Infrastructure gap isn’t solved by better dashboards but data governance and integration. Here are the steps we would take to get clarity:
1. Conduct a reality audit
Map what each system owns. Use a sample report request like “show me churn risk by engagement level” and trace where each data point in that report would come from across your AMS, marketing automation software, event platform, Excel spreadsheet hell, etc. This will surface where the gaps are that your team are glossing over.
2. Define a Single Source of Truth for each data point
I hear you rolling your eyes but I’m not talking about the coveted (and probably imaginary) all-encompassing donor profile, I mean that each set of data should have a single source. For example, your AMS might own membership status and dues but your CRM owns interaction history. Figure out which system has the most complete and most useful information, and write that into your engagement plan.
3. Fill the gaps with middleware and custom reports
Step 2 will hopefully show you the critical data points you can’t easily pull from your current systems. For many associations, this is engagement history from a marketing automation platform or their education progress from an LMS. Build out custom reports in those key systems of record to daylight those signals.
If the data exists but it’s hard to get out or harmonize, look at middleware options like Omatic or the Donor Data Hub to help you access and layer your data.
4. Design your own engagement scoring
Most platforms sell scoring as a feature that works out of the box. It’s a powerful tool but you can’t get out of having to decide what matters to your organization. Figure out which behaviors actually predict renewal for your members, verify that you can surface this data across your systems, and only then should you turn on your scoring program. Doing this process out of order will almost certainly lead you to focus on the wrong metrics.
5. Set owners and actions
Once you’re successfully scoring or reporting things like churn risk, it’s time to build out clear workflows for who and what happens next. Identify who is responsible for running the report and flagging the at-risk member, then who will develop an intervention to engage them. This is where your technology meets good stewardship.
6. Build a system for real insight
Now that you’ve taken the time to pose the right questions, found data sources, and pulled them into your workflows, you should be able to operationalize the data. In dashboards, regular reports, scoring within your AMS or CRM, or automations, you can be confident that you’re tracking the right data and you understand what it means.
Technology is a great multiplier: It can turn a membership leader’s hard-won experience into institutional knowledge. The trick is to make sure you’re asking the right questions of your data, not just chasing the answers you can get easily.
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Director of Marketing
Lyndal has worked at the intersection of nonprofits and technology for most of her career, building strategic marketing programs and managing data-driven campaigns at the San Francisco AIDS Foundation, Nonprofit Technology Network, InfluxData, and others. She leads Heller’s marketing efforts and is excited to position Team Heller as the partner of choice for nonprofit and education advancement leaders. When not at her desk, Lyndal is usually on a hiking trail or listening to a podcast about star stuff.
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