Published benchmarks come from companies far larger than yours. These are the bands that actually apply at solo scale — sourced, dated, and honest about the gaps.
Published SaaS benchmarks are drawn from companies far larger than yours. Applying them to a one-person product produces one of two wrong conclusions: that you are failing when you are normal, or that you are fine when you are not.
Compare against your own last quarter before comparing against any of these.
Every figure below is sourced and dated. Where the honest answer is that no reliable benchmark exists at solo scale, this page says so rather than inventing one.
The most cited conversion study of 2026 was run by ChartMogul with ProductLed and Kyle Poyar, covering 200 B2B software products surveyed in January 2026. It is good research. It is also drawn from companies where a typical respondent sits between $1M and $10M ARR.
A solo founder at $4k MRR is roughly two orders of magnitude below that sample. The benchmark is not wrong; it is measuring a different kind of business — one with an onboarding team, a support function, and enough customers for the average to mean something.
Two structural differences matter more than the size gap itself.
Your sample is too small for an average. With 20 customers, one cancellation moves your churn rate by five percentage points. The number on your dashboard is mostly noise, and reacting to it is how founders end up rebuilding things that worked.
Your ARPU is probably lower. Retention correlates strongly with price. Published data indicates products under roughly $25 ARPU churn several times faster than those above $1,000 — so a low-priced solo product is structurally disadvantaged before anything else is considered.
The most useful public framing for solo-scale products comes from SaaStr, which puts single-seat and sub-$99/month deals at roughly 3% monthly churn by revenue, and notes solopreneur customers churn at similar rates largely because small businesses themselves fail and change direction often.
Broader 2026 datasets support the same range. ChartMogul reports a median near 6.5% monthly for companies under $300K ARR, and multiple 2026 compilations put SMB and self-serve monthly churn between 3% and 7%.
| Monthly churn | Average lifetime | Reading at solo scale |
|---|---|---|
| Under 3% | 33+ months | Strong. Do not optimise further yet. |
| 3–5% | 20–33 months | Normal for self-serve |
| 5–7% | 14–20 months | Common early. Watch the trend. |
| Over 8% | Under 12 months | Growth is arithmetically capped |
One arithmetic correction worth making, because it is the most common error founders make with this metric: annual churn is not monthly churn times twelve. It compounds, so 5% monthly is roughly 46% of customers lost over a year, not 60%.
Across published 2026 datasets, failed and expired card payments account for a substantial share of total churn — commonly cited between 20% and 40%, with some retention platforms reporting higher.
This is revenue you already earned and failed to collect. Card retry logic, an expiry warning and a dunning sequence are a weekend of work, and most solo founders have never checked their failed payment rate at all.
Check it before you act on anything else on this page. The churn reduction framework covers how it differs from the four other churn types.
The ChartMogul 2026 study found a median free-to-paid conversion of 8% across its sample, with a roughly tenfold spread between the top and bottom fifth of self-serve products. Trials requiring a card converted around 30%, several times higher than those that did not.
The spread matters more than the median here. Almost no product actually sits at the median, so treating 8% as a target is comparing yourself to a number very few businesses occupy.
Full detail, including what to do at each level, sits on the trial-to-paid conversion benchmark page.
Three numbers founders ask about that this page will not give, because the honest answer is that nobody has credible data at solo scale.
For the one figure founders most want — how long to $1k MRR — three to six months with no starting audience is a reasonable planning assumption rather than a benchmark. The $0 to $1k playbook covers what actually drives it.
Use these bands to decide whether something is worth investigating, never to judge whether you are succeeding. At solo scale the trend in your own numbers carries far more information than your position against an industry median.
Three rules that keep benchmarks useful rather than demoralising.
Compare to yourself first. Your number last quarter versus this quarter is the only comparison with a matched sample.
Only act on a band you are clearly outside. At 4% churn against a 3–7% band, there is nothing to act on. At 11%, there is.
Segment before you conclude. If you have a $19 plan and a $99 plan, blending their churn produces a number describing neither. Tracking four numbers well beats tracking twelve badly — the four metrics that matter under $10k MRR covers which four.
Figures on this page are drawn from published 2026 research. Where sources disagree, the range is given rather than a single number.
Benchmarks move. If you are reading this more than a year after publication, treat the bands as directional and check the linked sources for current figures.
Under 3% monthly is strong and 3–7% is normal territory for early-stage self-serve products. SaaStr puts single-seat and sub-$99/month deals at roughly 3% monthly by revenue, while ChartMogul reports a median near 6.5% for companies under $300K ARR.
Most published benchmarks come from companies between $1M and $10M ARR with support and onboarding teams. A solo product at $4k MRR is two orders of magnitude below that sample, and with 20 customers a single cancellation moves your churn rate by five percentage points.
Published 2026 datasets commonly put failed and expired card payments at 20–40% of total churn, with some retention platforms reporting higher. It is the cheapest churn to fix — retry logic, expiry warnings and a dunning sequence are roughly a weekend of work.
Churn compounds, so it is not monthly times twelve. Use 1 minus (1 minus the monthly rate) to the twelfth power. At 5% monthly you lose roughly 46% of customers over a year rather than 60%.
Three to six months is a reasonable planning assumption with no starting audience, though this is not a benchmark — no credible dataset covers solo founders at that stage. Existing audience is the single biggest variable.
Give Marcus your churn, conversion and customer count. You get one number named as the constraint and one action for this month.
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