"Too expensive" is the symptom, not the diagnosis. Cut the wrong thing and you burn your margin without fixing the demand. Test all three with verified buyers, get written reasoning back in a few hours, and find out what's actually broken before you discount.
Verified human buyers · Written reasoning · Results in hours
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The Trap
Sales stall. One prospect says "too expensive." You panic and drop the price 20%.
Conversions barely move, now you have lower margin and the same problem.
Because the price was never the issue.
The Three P's
Is the number itself outside what buyers find believable for this category?
Are you bundling the wrong things, or splitting tiers in a way that hides the value?
Do buyers actually understand and believe the outcome they're paying for?
Discounting only fixes the first one. If the real problem is the package or the promise, a lower price just teaches buyers to expect less. You gave away margin for nothing.
How it works
Put your price, tiers, and value prop in front of respondents matched to your category. People who actually buy in your space.
Willingness to pay is a number. The why behind it is the diagnosis. Every respondent writes their reasoning, in their own words.
Price too high? Package confusing? Promise unclear? Fix the right thing, and protect your margin.
Real Case
A founder ran a willingness-to-pay test across three price points. 25 verified buyers. The interest was there. The written reasoning showed the real blocker:
The price wasn't the problem. Confidence in the product was. The fix wasn't a discount. It was proof. You don't get that from a number alone.
Pricing
100% Real Human Guarantee, if your first poll isn't real verified buyers, we refund it.
FAQ
The number (willingness to pay) tells you if there's a price issue. The written reasoning tells you the rest. If respondents say "it's a fair price but I'm not sure what I'm getting," that's a Promise problem. If they say "the higher tier seems padded," that's a Package problem. We surface the pattern across all responses so the diagnosis is clear.
A/B tests show which price converts better. They never tell you why. You learn after weeks of traffic that one number won, without knowing if it was the right one to test in the first place. A diagnosis test surfaces the real blocker before you commit to a price.
Existing customers are survivors. They already accepted your price. They can't tell you why someone walked away. Verified buyers from outside your customer base reveal the friction your current customers have rationalized away.
Yes. You can specify the role, industry, and company size of the respondents you want, so feedback comes from people who could realistically authorize a purchase like yours.
Run a single poll that shows different price options side by side. The vote tells you which one wins; the written reasoning tells you whether you could push higher, or whether the highest tier needs to justify itself differently.
Most polls return verified responses in about 4 hours. Validate ($49) and Deep Dive ($89) include an AI analysis report that synthesizes the pattern across all written reasoning into a clear diagnosis.
Before you discount, diagnose. Test price, package, and promise with verified buyers, and fix the right thing.
Find out what's really blocking the sale →