The standard list runs to twenty numbers. Sixteen of them are noise at your scale, and tracking them is a way of feeling rigorous while learning nothing.
The standard SaaS metrics list runs to about twenty numbers. Under $10k MRR, sixteen of them are noise, and tracking all twenty is a way of feeling rigorous while learning nothing.
Add a fifth only when one of these four has been stable for a quarter.
The reason to cut the list is not laziness. It is that every metric you track is a metric you might act on, and acting on a noisy number at small scale is how founders end up rebuilding things that worked.
Activation rate. The share of signups who reach your activation moment. This is the most diagnostic number available to an early SaaS and the one most founders have never measured. Under 20% means onboarding is your bottleneck regardless of what anything else says — the onboarding framework covers the fix.
Trial-to-paid conversion. Measured on a rolling three-month basis, because monthly figures at low volume swing wildly. Compare against the current benchmarks by trial model rather than a single industry median.
Monthly churn, with reasons attached. The rate alone is close to meaningless below fifty customers. What matters is the reason on each cancellation, because five types of churn need opposite fixes — see the churn reduction framework.
MRR and its direction. Worth knowing, not worth steering by. It lags every decision you make by months, so use it as a scoreboard and use a North Star metric as the steering wheel.
| Metric | Why it fails at this scale | Revisit at |
|---|---|---|
| LTV:CAC ratio | Needs a stable churn rate you do not have | $5k–10k MRR |
| Net revenue retention | Requires an expansion path most solo products lack | $10k MRR |
| Payback period | Meaningless when CAC is mostly your own time | When you spend real money on acquisition |
| Daily active users | Most B2B tools are not daily-use products | Only if daily use is the point |
| NPS | Needs volume to mean anything | 100+ customers |
| Viral coefficient | Most solo SaaS has no viral loop | If you build one deliberately |
The pattern is that these metrics all need either volume or a stable baseline, and a small product has neither. LTV:CAC in particular gets quoted constantly and is close to useless before you have a year of retention data.
Track your numbers by monthly cohort rather than in aggregate. Aggregate figures hide everything interesting at small scale.
If your activation rate is 30% overall but 45% for customers who joined in the last two months, your onboarding changes are working and the aggregate is disguising it. If it is 30% overall and 18% recently, something you shipped broke, and you will not see that in a blended number for another quarter.
Three cohorts of eight customers each will show you a trend. That is available to almost every founder reading this.
A useful test for any metric: write down what you would do if it moved 20% in either direction. If you cannot name a specific action for both directions, you are not tracking it — you are watching it.
Add a fifth metric when one of the four has been stable for a full quarter and is no longer the constraint. Metrics should follow your bottleneck rather than arrive as a set.
Past $10k MRR the picture changes: expansion revenue starts to matter, cohort retention curves become readable, and LTV:CAC finally has enough data behind it. The $1k to $10k playbook covers what shifts on the way there, and scaling without hiring covers what comes after.
Four: activation rate, trial-to-paid conversion, monthly churn with reasons attached, and MRR direction. Every metric you track is one you might act on, and acting on a noisy number at small scale is how founders rebuild things that were working.
LTV:CAC, net revenue retention, payback period, daily active users, NPS and viral coefficient. Each needs either volume or a stable baseline that a small product does not have, so the numbers they produce are noise dressed as insight.
It is the most diagnostic number available and the one most founders have never measured. If under 20% of signups reach first value, onboarding is your bottleneck regardless of what conversion or churn suggest, and adding traffic will not help.
Yes, and it matters more than which metrics you pick. Aggregate figures hide everything interesting at small scale — an activation rate of 30% overall but 45% for recent signups means your changes are working, which a blended number conceals for months.
When one of the core four has been stable for a full quarter and is no longer your constraint. Metrics should follow the bottleneck rather than arriving as a standard set, and past $10k MRR expansion revenue and cohort retention become readable.
Tell Marcus what you currently track. You get the short list for your stage and the one number to act on this week.
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