In 2024–2025, the club attracted 199 new members, with a replacement ratio of 2.6, almost three new members joining for every one that left. Total membership grew by 25%. Annual churn fell by 2 points, and member satisfaction surveys showed a significant improvement in net promoter score across the membership.

By every metric it routinely tracked, the club was growing and growing well.

BirdieIQ Lifecycle and structural analysis of the club's membership data told a different story. Beneath a strong headline picture, two significant risks were building, each one invisible to conventional membership reporting.

• —The first: the club's recent growth depended on converting a very large proportion of new members into established members. Historical retention data showed that 42% would normally leave within two years.
• —The second: there was a demographic risk hidden inside stable-looking female membership figures: the ladies section was not declining, but it was ageing steadily, with almost no younger women joining to replace those who would eventually leave.

Unlike conventional membership reporting, BirdieIQ follows each joiner through the membership lifecycle, measuring retention by tenure, age, gender and handicap status to identify structural risks before they appear in headline membership figures.

The club's retention data showed that statistically, 42% of all new members leave within their first two years. The scale of recruitment in 2024–2025, while a genuine success, had concentrated an unusually large proportion of the membership at precisely this stage. By the end of the financial year, early-tenure members accounted for 39% of total membership.

Well over a third of the club was sitting in the highest-risk group and by historical patterns, 42% of those members would be gone within two years.

When the analysis looked at what separated members who stayed from those who left, one indicator stood out above everything else: whether a member had obtained a handicap. Almost three out of every four members who hadn't gained a handicap were no longer at the club by the end of year two. For those who had, that figure was reversed.

The analysis revealed why. New members who had a handicap quickly entered organised competitions and formed social connections, embedding themselves into the fabric of the club. Members without a handicap, or lacking the confidence to enter competitions, tended to play regularly but often alone. They were not building a social network and were at significantly higher risk of leaving.

The Age membership category illustrated the problem most clearly. It was the club's single most effective recruitment route, 65 new Age members joined in 2024–2025, more than any other category, but Stratford Oaks's own data at the time showed 36-month retention in this category stood at just 12%, far below every other membership type (Junior 35%, Full 56%, Flexible 61%). Age category members were significantly less likely to hold a handicap, and the ongoing absence of one was the single strongest predictor of early departure. Without it, few were working their way into the established core of the club.

The club was successfully recruiting its future, but it was failing to retain it.

The consequence was visible in the demographic structure of the established membership base (members with three or more years of tenure). Members aged 70 and over accounted for 63% of this group, and that dependency was increasing. Only 14% of established members were aged under 55. The club's long-term financial foundation was resting on an age group that would naturally reduce over time, with very little forming behind it to take its place.

The same analysis also revealed a second risk that was largely hidden within the overall membership figures.

There were 116 female members at the club — from a headline perspective, the ladies section looked hugely successful. But only three of those members were aged between 18 and 55, and female joiners had fallen from 15 in 2024 to 9 in 2025, against 10 female leavers over the same period. Almost all of the section's apparent strength was older established members renewing; no younger female pipeline was forming behind them, and net growth had stalled in contrast to strong growth in the rest of the club.

The average age of the ladies section had increased to 72 against a national ladies average of 65. Benchmarking against county averages (WHS data) also indicated the club was lagging behind comparable clubs in its recruitment and retention of younger female golfers.

The data pointed clearly at where to investigate further. Playing patterns were analysed and all members who had joined within the past 24 months were surveyed.

The results uncovered a paradox. New members rated the club very highly: they praised the course, the clubhouse, the friendliness of staff and fellow members, the practice facilities, and considered the fees good value for money. Yet 42% of them left within two years of joining.

The survey confirmed what the retention data had already suggested. Members who obtained a handicap were much more likely to become integrated into club life, while those without one often struggled to find regular playing partners or the confidence to enter organised golf. The survey explained why the statistical relationship existed.

That precision made it possible to respond to the actual problem, not a generalised version of it. The analysis had identified that connection and competitive integration — not course quality or price — was what determined whether a new member stayed.

The female demographic issue required a different approach. To understand why club membership was not appealing to younger women, prospective members were surveyed using a questionnaire carefully designed to uncover the specific barriers to joining.

The results revealed that women had different motivators to men. They were more likely to describe themselves as learning or returning to golf, and their barriers centred on confidence, playing ability and social belonging rather than cost alone. When asked what would encourage them to join, women placed equal weight on a beginner pathway and more flexible ways to get started. Men, by contrast, showed relatively little interest in a beginner pathway.

Social belonging mattered more than cost. The standard membership proposition (a full annual fee with access to the course) was designed around what men said they wanted. It did not address what women said they needed.

That understanding shaped a response built around the actual barriers — not the assumed ones. Because the analysis had identified what women at this stage of their golfing journey actually needed, the club could design something that addressed it directly.

In response to the findings, the club designed and implemented a series of initiatives focused on member recruitment and onboarding. These were introduced progressively during the 2026 golfing season, and their effect was measurable across all risk areas within months.

The initiatives had been running since spring 2026, against a backdrop of rising structural risk — early-tenure members had grown to 39% of total membership, historically the group most likely to leave. Within that environment, the two groups most exposed to risk improved sharply. Churn among members without a handicap fell from 88% to 49%, and churn within the Age category fell from 48% to 31%. New member churn specifically, isolating the newest members from the established base, fell from 7% to 4%. Female recruitment turned around over the same period: joiners rose from 9 to 16, and the average age of the ladies section fell from 72 to 69 — the first sign of a younger pipeline starting to form.

One year on, the initiatives' effect was visible not only in the specific risk areas they had targeted, but across the club's overall growth and income too.

The clearest driver of that growth was the churn rate among members without a handicap — those who had not yet become fully integrated into the club's competitive and social structure. In July 2025 that figure was 88%; by July 2026 it had fallen to 49%.

The £47,000 income increase reflects both sides of that improvement: strong new member growth, and existing members staying rather than leaving. The club recorded 45 full-membership gains during the year, while churn fell sharply in the two segments — those without a handicap and the Age category — that had previously been most likely to go. Not all of this can be attributed directly to the initiatives — some normal year-to-year variation is always present — but the scale of the improvement, concentrated in exactly the areas the initiatives targeted, points to a significant and direct contribution.

These results did not occur because conditions improved. They occurred because the club was watching the right metrics, understood what was causing the patterns, and acted on that understanding before the risks became visible in the headline numbers.

The most significant finding was not the one the club expected. Member satisfaction was high and growth was strong: the board had every reason to feel confident. What the data showed was that satisfaction did not predict whether a member would still be at the club two years later. What predicted it, far more than anything else, was whether a member had developed a social network and begun to participate in organised club life.

The risks identified were built into the membership base itself. They would not have corrected themselves with time. More than that: they would have been concealed by the club's own success. Without a more detailed view of how membership was actually behaving, these risks would have continued to build for several more years before becoming visible in the numbers — and in the finances.

Stratford Oaks now tracks how long members have been at the club, their age group and gender, whether they hold a handicap, and the retention pattern at each stage of membership, as a standard part of its membership reporting.

The headline numbers are still measured: they are just no longer the only thing that is measured.