Most membership organisations don’t know why their members joined
Date: 31st March 2026
Onboarding captures data, not intent. What members are trying to achieve is rarely defined clearly, and almost never revisited.
Most membership organisations hold a reasonable amount of information about their members. Job title, organisation, sector, seniority, interests. In some cases, stated reasons for joining are also captured. These are recorded at the point of onboarding and stored as part of the member record.
But this information does not amount to understanding. It describes the member, but not the outcome they are trying to achieve through the membership. And without that, the relationship has no clear reference point against which value can be judged.
In practice, this means that most memberships operate without a defining question. Not a general sense of purpose, but a specific, testable condition: what would need to happen for this membership to have been worthwhile for this member.
Without that question, there is nothing to measure against. Activity can be observed, feedback can be collected, and engagement can be tracked, but none of these answer whether the membership is doing the job it was taken on to do.
There is an implicit assumption that the act of joining is self-explanatory. That the organisation understands, in broad terms, what members are looking for, and that this understanding is sufficient to guide communication, service design, and ongoing engagement. In practice, this leads to a form of generalisation. Members are grouped by category, addressed through standard journeys, and offered broadly similar propositions.
This works, to a point. It allows organisations to operate at scale, to communicate efficiently, and to present a coherent offer. But it also introduces a structural limitation. Without a clear definition of what success looks like for the member, it becomes difficult to assess whether the membership is delivering value.
The problem is not that intent is entirely absent. It is often present at the moment of joining, even if only loosely defined. A member may be seeking progression, recognition, access, or reassurance. But this intent is rarely captured in a way that is specific enough to act on, and almost never revisited as circumstances change.
Over time, this creates a gap. The organisation continues to operate against a generalised understanding of its members, while the member’s own expectations evolve. What was once relevant may become peripheral. What was sufficient may no longer meet the need. Without a mechanism to detect this shift, the organisation continues unchanged.
You can’t retain a member if you haven’t defined what success looks like for them.
In the absence of a defined outcome, organisations default to observable signals. Open rates, event attendance, platform activity—these are monitored and interpreted as indicators of health. As discussed in the earlier perspective, Membership engagement is not the problem, these signals are often treated as causes rather than consequences. They describe behaviour, but do not explain whether the underlying objective is being met.
The result is a form of drift. Communication becomes less aligned to need, services feel less relevant, and the effort required to extract value from the membership increases. None of this is necessarily abrupt. It accumulates gradually, often without triggering any immediate response.
This is not a failure of intent on the part of the organisation. It is a consequence of the model. Systems are designed to capture attributes, not outcomes. Journeys are designed to scale, not to adapt to individual outcomes. Once the initial point of joining has passed, the relationship settles into a pattern that is difficult to adjust.
There is also a practical constraint. Defining and maintaining a clear view of member intent requires a different kind of data and a different mode of operation. It requires ongoing interpretation rather than periodic measurement through surveys or reporting cycles, and a willingness to accept that members do not all seek the same outcome from the same membership.
In practice, this changes what is collected and how it is used. Instead of relying on attributes and broad categories, organisations need to identify clusters of members with similar underlying goals, and track whether those goals are being met. This does not require fully bespoke journeys for every individual, but it does require an overlay that can interpret signals in relation to a defined outcome.
This is where feedback becomes structurally important. Not as an occasional input, but as a continuous signal of where expectations are beginning to diverge from experience. Friction does not appear evenly across the membership base. It accumulates in specific places, for specific types of members, often before it is visible in aggregate metrics.
It is a question of maintaining a working model of member intent that is operationally manageable, and using it to interpret what is already happening.
If those signals can be captured and interpreted in context, they provide a way to reconnect behaviour with intent. Patterns of dissatisfaction can be traced back to the underlying objective that is not being met. Journeys can then be adjusted—not as fixed sequences, but as responses to whether members are progressing toward the outcome they joined to achieve.
This is not a question of personalising everything. It is a question of maintaining a working model of member intent at a level that is operationally manageable, and using it to interpret what is already happening.
Without that, organisations remain reliant on indirect signals and retrospective explanation. With it, they can begin to understand not just what members are doing, but whether the membership is serving its purpose.