A fake door test is a simple landing page that presents a product as if it already exists, so you can see who tries to sign up or buy before you build it. Once someone takes action, you explain that it isn’t ready yet. We call it a Fake Door test. Done well, it shows you real demand and tests how you position the idea. Done badly, it collects meaningless email addresses from the curious.
It’s the most popular validation method we see among corporate innovation teams, and one of the most misused.
Most teams think it’s as simple as building a landing page, driving traffic and counting sign-ups. They put up a generic “coming soon” page, share it on social media and treat the email addresses they collect as proof. That inflates sign-up numbers, collects thousands of email addresses from people who’ll never buy, and creates false confidence that leads to expensive failures.
What is a fake door test?
A fake door test puts a real-looking offer in front of real people and measures what they do. The “door” is a button, a sign-up form or a buy option. Behind it is a short message saying the product isn’t ready yet, usually with an invitation to hear more.
The key is distinguishing real interest from idle browsing.
How a SaaS company wasted £400K on fake validation
A B2B software company we work with wanted to add AI-powered analytics to its project management platform. The team had a £400k budget to develop the capability, and market research suggested strong demand for AI features, so they decided to run a fake door test before building.
What they did:
Built a generic landing page: “Revolutionary AI Analytics – Coming Soon”
Promoted it on LinkedIn, in industry forums, and to email lists
Asked visitors to “Join the beta waitlist” with a simple email form
Collected 2,847 sign-ups in six weeks
What it looked like: Leadership saw nearly 3,000 sign-ups and approved an 18-month development budget. The numbers seemed compelling. After all, if thousands of people had signed up, demand must be huge.
What actually happened: When AI Analytics launched, take-up was dire. Only 3% of the waitlist started a trial, and 89% of those cancelled within 30 days. Exit interviews revealed the truth: people had signed up because “AI analytics” sounded interesting, not because it solved a specific problem for them.
What went wrong
Generic positioning: “AI Analytics” could mean anything to anyone
No qualification: anyone could sign up, whether they needed it or not
Curiosity clicks: people joined a waitlist for something they’d never buy
Wrong traffic: industry forums attracted browsers, not buyers
The test they should have run
A landing page built around a specific problem, such as “Predict which projects will miss their deadlines two weeks in advance”, with a few questions about how people manage projects today and where it goes wrong.
What happened when we reran it
When we helped them rerun the test with a specific problem and proper qualification, they got 312 sign-ups instead of 2,847. But 67% of them became paying users.
That’s roughly 209 paying users, compared with around 9 people who stuck with the original launch. The smaller, qualified group was the real demand worth building for.
Planning a fake door test?
Before you build the landing page, it’s worth a conversation about what you actually need to prove and how to make sure the results mean something. Miles, Managing Partner at Future Foundry, can walk through whether a fake door test, or another business experimentation method, fits your situation.
Book a call with Miles here.
Five reasons most fake door tests produce junk data
1. Testing everything for everyone
Broad promises like “powerful AI tools” attract curious browsers, not buyers. Specific problems attract people who actually have them.
2. Making sign-up too easy
No friction means no qualification. Anyone will hand over an email address for something that might be interesting someday. Add a few qualifying questions to filter out casual interest.
3. Driving the wrong traffic
Social media and forums attract browsers. Industry newsletters and targeted ads reach people actively looking for a solution.
4. Measuring vanity metrics
Sign-ups don’t predict who will buy. Focus on sign-up quality and what people do next. We’ve written more on why email metrics mislead innovation teams.
5. Not following up
Teams collect emails and assume demand is proven. Survey your sign-ups, or better still, talk to them, straight away to understand why they registered and what they expected.
How to run a fake door test that predicts real demand
1. Test specific problems, not broad categories
Instead of “Marketing automation platform”, test “Send personalised emails based on website behaviour”. Specific problems attract the specific people who need them solved.
2. Add meaningful qualification
Don’t just collect email addresses. Ask what they use today, whether they have the budget, and when they’d want to implement something. That separates real prospects from casual browsers.
3. Drive qualified traffic
Target people actively searching for a solution, not passive social media audiences. Search ads, industry publications and partner referrals all work well. An Ad Test can help you find which messages and audiences respond best.
4. Measure what happens after sign-up
Track high-effort actions: replies to your follow-up emails, completed questionnaires, and requests for a sales conversation. Click Tracking shows you exactly where people drop off.
5. Talk to your sign-ups within 48 hours
Contact a sample of people who signed up while it’s still fresh. What problem were they hoping you’d solve? What else are they considering? Those answers are often worth more than the sign-up numbers. If you use a survey, ask about what people actually do, not what they think they want.
Where should you start?
Take an idea you’re working on and build two fake door pages: one generic (“Smart business analytics”) and one specific (“Identify customers likely to cancel next month”). Send similar traffic to each and measure sign-up quality, not just volume.
The specific version will probably get fewer sign-ups, but far more qualified interest. Those people represent real demand worth building for.
Fake door tests work when they attract genuine prospects, not casual browsers. Most teams optimise for volume. The most successful teams we work with optimise for qualification.
Common questions about fake door tests
Is a fake door test misleading to customers?
Not if you handle it honestly. As soon as someone clicks, tell them plainly that the product isn’t available yet, thank them for their interest and offer to keep them updated. Never take payment details for something that doesn’t exist. Handled this way, most people are happy to share their view early.
How many sign-ups do you need from a fake door test?
There’s no magic number. In the example above, 312 qualified sign-ups were worth far more than 2,847 unqualified ones. Judge the test on how many qualified people take the next step, not on the total.
What should you do after a fake door test?
Follow up with sign-ups within 48 hours to understand what they expected. Then test stronger commitment: a letter of intent for B2B buyers, or an Advance Purchase for consumers. For physical products, a fake door is also a cheap first step before a pop-up store test.
Planning a fake door test?
Before you build the landing page, it’s worth a conversation about what you actually need to prove and how to make sure the results mean something. Miles, Managing Partner at Future Foundry, can walk through whether a fake door test, or another business experimentation method, fits your situation.
Book a call with Miles here.
A fake door test is one method within business experimentation, the discipline of testing what customers actually do before committing budget to a solution. Explore the Fake Door test page in the Toolbox, along with 50+ other methods in our Experiment Toolbox.
