In this piece · 5 sections
Why B2B and B2C SaaS are not priced the same
Two SaaS businesses can post the same monthly revenue and the same growth rate, and a buyer will still pay meaningfully more for one than the other — often a lot more — purely because of who their customers are. A product sold to businesses and a product sold to consumers are valued on different assumptions about how long that revenue will keep arriving.
This post is about that contrast specifically. It is not the question of whether to value a SaaS on recurring revenue or owner earnings — the full SaaS valuation guide covers the SDE-versus-revenue lens choice. Nor is it the mechanic of how a revenue multiple itself is set — the SaaS MRR multiples post owns that.
Here we assume you already know a multiple is being applied, and ask the narrower thing: why does the same multiple framework land higher for business-facing software than for consumer-facing software, and what should each type of operator actually measure?
The structural reasons B2B usually trades higher
The premium B2B SaaS tends to carry is not arbitrary, and it is not about the product being better. It traces to four structural traits of business revenue, each of which makes the stream more durable — and durability is the thing a buyer is actually paying the multiple for.
Lower churn. A business that has wired your tool into its workflow, trained staff on it, and built reports around it does not cancel on a whim. Consumer subscriptions, by contrast, lapse the moment attention drifts or a budget tightens. Lower churn means the revenue a buyer purchases is closer to the revenue they keep.
Higher ARPU and contract value. Business accounts pay more, often on annual contracts, and a smaller number of larger accounts is cheaper to serve than a vast base of tiny ones. The same monthly revenue built from a few hundred paying companies is structurally different from the same figure spread across tens of thousands of consumers.
Expansion revenue and NRR. B2B products grow inside an account — more seats, more usage, an upgraded tier — so net revenue retention can sit above 100%, where the existing book grows even with no new logos. That expansion engine is rare in B2C, where a consumer rarely buys "more" of a subscription. Retention that compounds is one of the steepest multiple drivers there is.
Switching costs. Integrations, stored data, team habits, and procurement friction all make a business slow to leave. That stickiness is exactly what a buyer reads as a defensible, transferable stream — and it is largely absent in a consumer app the user can abandon in one tap.
Read that table as direction, not as a verdict on any single business. It describes the central tendency — why the average B2B product clears a higher bar — not a rule that every B2B deal beats every B2C deal. A weak B2B product with leaky logos can absolutely trade below a strong consumer app.
The metrics that matter for each model
Because the durability story differs, the evidence a seller should bring differs too. Measuring your business with the wrong model's yardstick is one of the most common ways operators misjudge their own band.
Both lists point the same way: the multiple is only as trustworthy as the evidence underneath it. A B2B seller who can only quote average churn from memory, or a B2C seller whose growth rests on one channel they cannot document, leaves a buyer to assume the worst — and the band widens downward to absorb that uncertainty.
How one model weighs B2B and B2C
Real Site Worth does not run two separate valuation engines for business and consumer software. It runs one deterministic model and lets the inputs that signal durability do the differentiating — so the same framework naturally lands B2B and B2C in different places when their underlying metrics differ.
In practice that means the retention, contract-value, and concentration inputs carry the weight for a business-facing product, while activation, channel diversity, and cohort retention carry it for a consumer one. The model is not biased toward B2B; it is biased toward durable revenue, and B2B revenue is more often durable. A consumer product that proves durability is scored on that proof, not penalised for its category.
How customer type and durability pull the multiple
Treat that chart as ordering, not arithmetic. The lesson is the bottom bar: unverified metrics flatten the band for either model. Customer type sets the starting expectation; the evidence you can actually document decides where in the range you land.
And the output is a range with a confidence score, never a single figure. The qualitative signals are scored into deterministic inputs; the AI narrates which inputs are doing the heavy lifting but never invents the number. If your software is small and owner-run rather than revenue-led, the revenue-multiple lens may not even apply — the micro-SaaS valuation guide covers when owner earnings govern instead.
Anchor any band against where real multiples actually sit by asset type and size — the website valuation multiples for 2026 — rather than any single rule of thumb. Whether your customers are businesses or consumers, the estimate is there to orient you and get you to a real buyer conversation prepared, not to replace it.
