The more I thought about why members left, the more convinced I became that the answer could not be found in resignation letters alone. Those letters explained why a particular individual had reached a decision, but they revealed very little about the process that had led them there or whether the warning signs had been visible much earlier.
Instead of beginning with the point at which membership ended, I began looking at the point at which it started. Rather than analysing annual joiners and leavers, I followed members from the day they joined the club and observed what happened over the years that followed.
I expected those journeys to be highly individual. People join for different reasons, have different expectations and experience club life in different ways. It seemed unlikely that enough common ground would exist for any meaningful pattern to emerge. Yet as more years of data accumulated, the similarities became increasingly difficult to ignore.
It did not seem to matter whether members joined in 2015, 2017 or 2020. Although recruitment numbers varied and the circumstances surrounding each intake were different, the broad shape of the journey remained remarkably consistent. There was an initial period during which resignations were relatively common, followed by a gradual increase in stability among those who remained. The longer members stayed, the less likely they appeared to leave.
The GMLB Membership Lifecycle
% of members still active, by months since joining
That observation changed the way I interpreted the membership list itself. Rather than seeing a record of who belonged to the club at a particular moment, I began to see thousands of individual journeys unfolding over time. Every established member had once been a new member, and every new member faced the same challenge of deciding whether membership would become part of their life or remain simply an annual subscription.
When those individual journeys were viewed collectively, another pattern emerged. Members did not all carry the same probability of leaving. That probability appeared to change as they progressed through their relationship with the club. Some established themselves quickly through regular play, competition golf or social connections. Others remained on the edge of club life for much longer and were consistently more vulnerable to leaving.
The more I followed those journeys, the more it became apparent that resignation was usually the final outcome of a process that had been developing over many months, sometimes years.
By the time a member appeared in the annual leaver statistics, the conditions that had led to that decision had often been present for a considerable period.
That realisation suggested something encouraging. If the process that leads to resignation develops over time, then understanding that process creates the possibility of influencing it. The purpose of the analysis was no longer simply to explain why members had left. It became a way of understanding how current members might become established before reaching the point at which resignation became the most likely outcome.
The implications extended well beyond retention. Every member who becomes an established part of the club represents many years of future subscription income, clubhouse spend, participation and contribution to club life. The long-term value of a membership is created not at the point of joining, but through the years that follow. Helping more members complete that journey therefore strengthens both the membership and the long-term sustainability of the club itself.
Gradually, membership stopped resembling a static headcount and began to resemble a lifecycle. The curve that eventually emerged was not something I had set out to create. It was simply a visual representation of the process the data appeared to describe, and once it became visible it became difficult to think about membership in any other way.
The annual figures still had value. They explained where the club was today. The lifecycle, however, explained how it had arrived there and offered an indication of where it might be heading. It provided a way of understanding not only the structure of the current membership, but also where future opportunities and risks were beginning to emerge.
Looking back, that may be the most significant thing the data revealed. Resignation was not an event. It was the final outcome of a process that had been developing, in many cases, for a year or more before the letter arrived. By the time a member appeared in the annual leaver statistics, the decision had usually already been made.
That changed what the analysis was for. If the conditions that lead to resignation develop over time, they can potentially be recognised while a member is still part of the club. The question was no longer how to respond to members leaving. It was whether the journey could be understood well enough to influence it before that point was ever reached.