Category Local SEO SaaS: Google Maps rank tracker and AI ranking coach for agencies · Listed Flippa, Vetted + Data Verified Asking $575,000 · ARR at listing $209,561 (stated 502% growth over 10 months) · Current MRR $22,498 · Monthly profit $14,216 · Margin 74% Subscribers 420 · Churn 5% monthly · Age 1 year · Location Florida, United States
Asking multiple 3.4× trailing profit, using the current monthly profit annualized (Flippa's own displayed multiple is 3.7×, computed against actual trailing-twelve-month profit, which sits lower because most of the growth happened in the second half of the year). Either way, this lands below the 3.9× median for confirmed SaaS transactions, and the growth line (502% in ten months) is the kind of number that normally earns a premium, not a discount.
The title's own list of reassurances ends with "0% disputes." That is a real, disclosed number, and it is a Stripe metric: chargebacks and payment disputes, not customer cancellations. The number that predicts what next year's revenue looks like, churn, sits in the metrics box, not the title: 5% a month.
| Risk-adjusted multiple | 2.8× |
| IRR at the asking price | −22.9% |
| Maximum defensible offer at 30% IRR | $198,000 |
| Annual net revenue retention | 54% |
| Half-life of the current customer base | 14 months |
77% of the 420 subscribers are on annual plans, which by construction cannot cancel mid-term. If that 77% contributes close to zero of the monthly churn (the ordinary assumption for annual billing inside its first year), the remaining 23%, our arithmetic puts that at roughly 97 of the 420 accounts, is carrying essentially all of the disclosed 5% blended monthly churn. Run that back: 0.05 ÷ 0.23 ≈ 22% monthly churn on the monthly-plan minority, an average customer lifetime under five months for that segment.
That arithmetic is ours, not the listing's. Flippa shows one blended churn figure, not a breakdown by plan. But the blended number alone already sits at the level the market prices at a discount, and the annual-plan share is the only lever the listing offers to explain why the monthly figure isn't worse. Split it out, and the group actually cancelling looks considerably worse than 5%.
| Adjustment | Effect |
|---|---|
| Market median, confirmed SaaS transactions | 3.9× |
| Elevated churn (5% monthly) | −0.5× |
| Short track record (12 months) | −0.5× |
| Single data-source dependency (Google Maps ranking data) | −0.7× |
| Growth premium (502% revenue growth, 10 months) | +0.6× |
| Risk-adjusted | 2.8× |
The product's entire function is tracking where agencies' clients rank on Google Maps and in the local pack. Nothing on the listing says whether that ranking data comes through an official API or a scraped result page, and the two carry very different risk: one is a commercial relationship, the other is a dependency Google can shut off in an update with no notice and no recourse. This is not disclosed either way, which is itself the finding: a business whose entire product reads somebody else's ranking data should say how it reads it.
At 5% monthly churn and no disclosed rate of new signups, the model's conservative read (the same "acquisition stops on closing day" test it runs on every listing) has the customer base halving in 14 months. The 502% growth figure earns the deal a 0.6× bump to the benchmark multiple, because that is what the model rewards growth with. It does not, and structurally cannot, turn ten months of history into three years of projected cash flow. Growth is a multiple input here, not a cash-flow input, and the $575,000 asking price is underwriting a lot more of that growth story than the disclosed churn number supports.
$198,000, structured 50% at close and 50% in a twelve-month earnout tied to retention of the subscriber base measured at closing, using the seller's own 5% churn figure as the baseline. That structure prices the retention risk the seller's own numbers already show. It does not price the ranking-data dependency. No earnout fixes a risk the seller doesn't control, so that gets checked, with a specific answer on how the ranking data is sourced, before any offer goes out at all.
At $575,000 the projected return is −22.9% over three years. The growth is real. The asking price prices it as if the churn number weren't.
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