No traffic numbers to show? Sell the risk away instead.

Redesigning a B2B pricing page with zero statistics available: competitor anchoring, risk reversal you already shipped, and refusing fake proof.

Every pricing-page playbook starts the same way: show traffic numbers, show testimonials, show logos. Social proof, then the offer.

I'm building a niche directory in Switzerland, and the page that sells premium listings to businesses has none of that available. The site is young; the honest traffic numbers wouldn't impress anyone, and publishing flattering-but-thin stats is the kind of move that costs you trust for a decade in a small market. So the constraint for the redesign was hard: the page must work with zero numbers on it.

That constraint turned out to be clarifying. Here's what's left when you strip social proof away.

Anchor against the incumbent, not against yourself

The strongest argument on the page was one we'd never written down: the incumbent lead platform in this market charges several times our price — and sells each lead to multiple competing firms at once. Our leads are exclusive to one business.

That comparison does the work that traffic stats normally do. It reframes the price from "is this worth it?" to "compared to what?" — classic anchoring, and it costs nothing but the sentence. One deliberate rule came with it: name the alternative, never link it. You're allowed to set the reference point; you're not obliged to send traffic to it.

Sell the risk reversal you already built

The research on guarantees is consistent: removing perceived risk lifts conversion, and the economics work for the seller under the right conditions — there's solid academic work showing money-back guarantees increase sales and retail profitability. The CRO temptation, then, is obvious: slap a 30-day money-back badge on the page.

I decided against inventing one. Not because risk reversal doesn't work — because we already had it and had simply never said so. The signup flow refunds automatically if a business's application is rejected. There's no setup fee. You can cancel anytime, effective at period end. Three genuine risk-reversers, all shipped, all invisible, because they lived in the webhook logic instead of on the page.

The cheapest CRO win is communicating a strength you already shipped and forgot to mention.

That's now the spine of the page. No invented promises, no asterisks — just the actual mechanics of the product, finally stated where a buyer can see them.

The rest of the redesign, briefly

The annual plan moved to the first position with the effective monthly rate as the anchor and the full monthly-plan total crossed out next to it — the standard tier-ordering play, done with real prices instead of decoys. And the "how it works" section got rewritten, because it still described a flow we'd replaced weeks ago. Pages drift away from products quietly; nobody owns the diff.

What didn't make the cut matters too. No fake countdown, no "27 businesses joined this week," no invented review stars — the same discipline as the mobile checkout piece, where the fix was honesty about a number everyone else hides. In a market of a few hundred potential customers who all know each other, getting caught inflating is unrecoverable.

This is also what AI-era operating actually looks like in practice. The deep research across competitor pricing pages took an hour instead of a week, like letting search data pick the next move — but the decisions that shaped the page were refusals: no guarantee we don't mean, no numbers we can't defend, no link to the competitor. The research is cheap now. Knowing what not to ship is the expensive part.

The page goes live with zero statistics on it. Ask me in a quarter whether restraint converts.

Sources & further reading

External

The Conversation — The economics of the money-back guarantee · Akçay, Boyacı & Zhang — Selling with money-back guarantees (Production and Operations Management)

Related posts

The biggest leak in your mobile checkout is a number you're hiding · Six search impressions told me exactly what to write next · The death of generic AI

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