For ecommerce sellers

Check the offer before you stock it

Screen one product and price before inventory, photography, storefront work, or paid traffic. Find the buying reason and concern your real market test should verify.

Free. No signup required.

Estimate ready
54%
Mixed signal

likely to buy

Definitely yes
18%
Probably yes
40%
Not sure
22%
Probably no
14%
Definitely no
6%

Top signal: Higher-income adults aged 25–44 respond best to this offer.

Put the next spend at risk

Check the offer while inventory, creative, and promotion plans are still easy to change.

Find the offer friction

See whether price, trust, convenience, or the main benefit needs a stronger real-world test.

Keep behavior as the standard

The panel is a broad U.S. simulation. Confirm the strongest version with real shoppers, traffic, and sales.

A storefront decision, not a demand forecast

Imagine a premium pet accessory at $49. A report may show that convenience resonates while durability and returns create hesitation. Use that pattern to choose the proof, imagery, or pricing question for a real shopper test. Do not treat the simulated result as sales evidence.

Move from screen to behavior

After refining the written offer, use a human-response comparison for creative choices or run a real landing-page and ad test. The consumer concept-testing guide shows when deeper research is the stronger next step.

How it works

1

Describe one storefront offer

Include the product, intended shopper, approximate price, and the benefit or bundle you want to lead with.

2

Review the reasons and concerns

Use the directional report to choose the proof, price, audience, or promise that deserves revision.

3

Run the market test

Move the stronger offer into human feedback, a landing page, paid traffic, a small stock run, or actual sales.

Frequently asked questions

How is this different from a live ad test?+

A live test measures behavior from real traffic. WouldTheyBuy is an earlier directional screen for deciding which written offer and price deserves that spend.

Can I test prices or bundles?+

Run each price or bundle as a separate test and compare the reports manually. Confirm the stronger version with real shoppers and purchase behavior.

Should I use a human poll too?+

Use real respondents when images, packaging, naming, creative, or a tightly screened audience matters. The simulated screen can help decide which version enters that paid round.