Membership Metrics: The Six Numbers Worth Tracking
A metric earns its place by changing what you do. Most membership dashboards track a dozen numbers that have never altered a single decision.
Member count is the number everyone watches and the least useful one available. It goes up during a launch regardless of health, it hides the difference between a growing base and a leaking one, and no decision follows from it.
These six do lead somewhere.
1. Monthly recurring revenue
How: normalise everything to a monthly figure. An annual plan at $470 counts as roughly $39 per month, not $470 in the month it was sold.
Why it matters: it is the only revenue number that reflects the business rather than the calendar. Counting annual plans as cash-in makes a good sales month look like growth and the following month look like collapse.
Decision it drives: whether you can afford a commitment. MRR is the number your fixed costs should be measured against, not last month's deposits.
2. Churn rate
How: members lost in a month divided by members at the start of that month. Track voluntary and involuntary separately — they have different causes and different fixes.
Why it matters: churn sets a hard ceiling on size. At 5% monthly churn, a membership stabilises at roughly twenty times its monthly new-member count no matter how well you market.
Decision it drives: whether to spend the next month on acquisition or retention. If churn is above about 5%, acquisition is filling a bucket with a hole in it.
3. Average revenue per user
How: MRR divided by active members.
Why it matters: it tells you whether growth is coming from more members or better-paying ones. A rising member count with falling ARPU usually means a cheap tier is cannibalising a good one.
Decision it drives: pricing and tier structure — see structuring tiers.
4. Lifetime value
How: ARPU divided by monthly churn rate. At $40 ARPU and 5% churn, LTV is about $800.
Why it matters: it is the only number that tells you what you can afford to spend acquiring a member. It also demonstrates the leverage in retention: halving churn doubles LTV, which no acquisition improvement can match.
Decision it drives: marketing spend, and whether a channel is viable.
Treat LTV as a rough guide, not a fact. It assumes churn stays constant, which it does not, and small memberships have too few data points for precision. Use it to compare options, not to forecast.
5. Activation rate
How: the share of new members who complete your defined first action within seven days.
Why it matters: it is the earliest reliable predictor of retention you have. Churn takes months to reveal a problem; activation reveals it in a week.
Decision it drives: onboarding changes, and it is the metric to run experiments against because feedback arrives fast. See membership onboarding emails.
6. Active share
How: members who used the product in the last thirty days divided by paying members.
Why it matters: this is your leading churn indicator. Members stop showing up one to three months before they stop paying. When active share falls, cancellations follow on a delay.
Decision it drives: when to intervene, and with whom. A list of paying members who have not logged in for six weeks is the most actionable list in the business.
How to actually use them
- Record all six monthly in one spreadsheet. Not a dashboard you have to visit — a file you fill in.
- Look at direction over three months, not month-to-month movement. Small memberships are noisy enough that single-month changes are usually nothing.
- Pair each number with the decision it informs. If you cannot name the decision, stop tracking it.
- Segment when the numbers get confusing. Blended figures across annual and monthly, or across tiers, describe nobody.
For the deeper version of retention measurement, see cohort retention analysis.