Price testing

When to run price testing

Price testing is the right call when you’re setting a price that’s hard to change later. Initial pricing for a new product, a tier restructure on a live one, a launch promo, packaging changes that move features between paid tiers. Pricing decisions cascade: they affect targeting, sales motion, and unit economics, and they’re politically expensive to walk back after launch.

The cheapest moment to test is before you commit to a public price. Synthetic price testing is fast enough to fit in that window even when traditional pricing research wouldn’t, and it gives you the qualitative reasoning that quantitative instruments can’t capture.

How Candor runs it

You provide the price points or packaging variants you want to test, in the framing they’ll appear in market (currency, cadence, accompanying feature list, comparison context). Candor generates personas grounded in real evidence about your audience and runs the price test against them. Each interview probes willingness-to-pay, perceived value, anchoring against alternatives, and the specific features personas treat as justifying the price versus baseline expectations.

For B2B studies, the interviewer agent additionally probes buying-committee dynamics: who’d need to approve at this price, what budget category this would fall under, what procurement-level objections would surface. For B2C studies, the agent probes substitution behavior, impulse triggers, and reference-price anchors. The personality and bias models behind each persona shape how they react to anchors, framing, and relative pricing.

What you walk away with

A synthesis report that surfaces: willingness-to-pay ranges by archetype, the price points where conversion breaks, the anchoring dynamics (which competitor or alternative the personas compared the price to), the features that drove price-justification reasoning, and the segments where the price didn’t land at all. For multi-tier or packaging studies, the report breaks down which packaging shapes maximize perceived value for which archetypes.

The output is shaped to drive the next pricing decision. Use synthetic price testing as the strong filter that narrows the real-customer or formal pricing-research effort to the price points and packaging shapes that survived the synthetic test. Every finding links back to the persona quotes that produced it, so you can audit the reasoning.

Where to go next

Price testing pairs with concept testing (run the concept test first to make sure the underlying value lands, then test the price for it) and value-prop testing (since how you frame the price often matters as much as the number itself). To stress-test the assumptions sitting behind the pricing strategy (who’s the buyer, what budget they’re drawing from, what competitive set they’re in), layer in assumption validation.