No One Has Defined What Membership Success Actually Looks Like

Ask the team running a membership program what success looks like and the answer is almost always enrollment and revenue. The program has X members. The program generates Y dollars per month in recurring fees. Both numbers are going up.

Neither of those numbers tells you whether the membership is actually working. A program can grow enrollment indefinitely through aggressive acquisition while losing members at an accelerating rate beneath the surface. If the acquisition rate outpaces the churn rate, the membership count goes up even as the average quality and tenure of the member base degrades. More members, shorter tenures, lower LTV per member, higher acquisition spend to maintain the illusion of growth.

The distinction between genuine growth and enrollment inflation is only visible if someone has defined what the program's health metrics should look like and is tracking them alongside the headline numbers. Most programs have not done this.

Enrollment Without a Retention Rate Target Is a Vanity Metric

Enrollment counts how many people have joined. Without a retention rate target that defines what percentage of those people should still be members at months three, six, and twelve, there is no way to tell whether the join rate is producing durable membership growth or a leaking bucket that requires constant refilling.

Recurly's 2026 State of Subscriptions report, based on analysis of more than 2,200 subscription businesses, provides category-level retention benchmarks that establish what a healthy subscription retention rate looks like across different verticals. A membership program that has never compared its own retention rate against a relevant benchmark does not know whether its current performance is industry-leading, average, or below average. The number the team reports each month has no reference point.

Setting a retention target is not complicated. It requires a decision: given the program's design, pricing, and target customer, what percentage of members should still be enrolled at twelve months? Most programs that set this target for the first time discover that their actual retention rate is lower than the implicit assumption behind their growth projections.

Perk Redemption Rate Should Be a Reported KPI, Not a Side Report

A membership program that is healthy has members using it. Perk redemption rate is the most direct measure of program usage available, and it is almost never reported as a primary KPI alongside enrollment and revenue.

The consequence is that a program can show strong enrollment and revenue while having a redemption rate that indicates a large portion of the member base is paying for something they are not using. That is the precise population McKinsey's research identifies as at cancellation risk. McKinsey's research on paid loyalty programs found the leading cancellation reason is not using benefits enough to justify the cost, which means perk redemption rate is a leading indicator of cancellation risk. A program that does not track it is not tracking its own primary churn risk.

Second-Year Renewal Rate Is the Most Diagnostic Number in the Program

The first-year renewal is where most membership churn is concentrated. Research from the i4a membership benchmarks puts the median first-year renewal rate at 75%, versus 84% for established members. That nine-point gap reflects the structural vulnerability of members who are deciding for the first time whether the program was worth what the pitch promised.

A program that tracks only its aggregate renewal rate across all tenure cohorts cannot see this gap. It cannot know whether first-year renewals are pulling down an otherwise strong renewal base or whether the entire cohort is performing consistently. Setting a separate renewal rate target for members in their first year versus established members is the difference between managing a known risk and being surprised by it.

Subscribfy's own merchant data shows the behavioral patterns that define a well-performing membership: 59% higher return rates, 115% higher LTV at twelve months, and redemption rates well above category averages. Those outcomes are the result of programs where health metrics are being tracked and managed, not just enrollment and revenue.

If your membership program reports enrollment and revenue and nothing about retention rate, redemption rate, or cohort-level renewal performance, you know how many people joined and how much they paid. You do not know if the program is working.

Subscribfy helps Shopify Plus brands define and track the membership health metrics that indicate whether the program is genuinely working, not just growing on the surface. See how at subscribfy.ai.