App and software idea testing

Find out who would try your app, and what stops the rest

Before you design screens or write code, it helps to know which users want the app, which features they care about and what would stop them downloading it. SellTo.us shows your app idea to thousands of AI-simulated potential users built for your audience and reports who would try it, who wouldn’t and why. An unbuilt idea is fine; a screenshot or mockup is optional.

Test Your Idea for Free1,000 AI-simulated participants · no card needed · free if eligible

When it helps

How a test works

1. Describe the app. What it does, who it’s for and the price or plan, if you have one. Choose App or software, the country and the kinds of users you’re aiming at. Add screenshots or mockups if you like.
2. The audience is built. An AI model splits it into user groups with ages, jobs, budgets and habits, then our code creates individual simulated users.
3. Each one answers. Would try it, maybe or wouldn’t try it, with a short reason, for every version. With 2 or more images, each picks the one that most makes them want to try it.
4. The report is counted and checked. See the methodology for how.

What you get

Every report includes the share of simulated potential users in each answer, results by group, the main reasons for and against, labeled quotes, ideas to test next and the claims in your description that need evidence. Larger tests compare several versions, add an image vote and an ad targeting guide, and at 100,000 add results by city. Monthly plans give 10 tests a month from $49.

For apps the report concentrates on adoption: features people want, the barriers that stop them trying it (switching effort, trust, missing features, subscription fatigue) and a price or plan worth testing next.

Reading the result well

• Read the barriers. “I already use something” calls for a switching reason; “another subscription” calls for a pricing change.
• Trying isn’t keeping. A simulated yes is about first interest. Whether people keep using it is something only real users can show.
• Change one thing at a time between versions, so the report can tell you what made the difference.

What it can’t tell you

• Nobody uses the app. Simulated users react to a description and images. Usability, speed, bugs and onboarding aren’t tested.
• It isn’t a download forecast. Store ranking, reviews and marketing decide real installs.
• No accuracy is claimed. Results haven’t been measured against real sales, and each test is run once, so how much the numbers would move on another run isn’t measured. More on the limits.
• Your claims aren’t checked. Promises like “saves 2 hours a week” are listed as yours to verify.

Then check it with real people

1. Show a clickable prototype to 5–10 people from the most interested group and watch them use it.
2. Run a landing page or store pre-registration with the winning description and count real sign-ups.
3. Re-test after you change the pitch or pricing, so the same simulated user groups compare old and new.

Example: our app sample report tests a made-up budgeting app for couples.

Related: Startup idea validation · Service idea testing · AI product concept testing · AI focus groups · Ad concept testing · Full methodology