Our Waitlist Had 11,000 Names. Two Percent of Them Paid.

Before we launched our clinic scheduling product publicly, we ran a waitlist for five months. A simple landing page, a short explainer video, a form asking for an email address and clinic size. By launch day we had a little over 11,000 names on it. The founders mentioned that number in every investor conversation, and I mentioned it in every team meeting.

When we opened the doors and sent the invitations, 231 of those people became paying customers in the first sixty days. Roughly 2 percent. Here is what I learned from the gap.

Where the names came from

Looking back, the waitlist grew in three big bursts, and none of them were about clinics desperately needing better scheduling. One was a mention in a popular startup newsletter. One was a thread on a professional forum that briefly went viral. One was a giveaway we ran, offering a year free to a random signup.

Each of those brought thousands of names. Most were founders, marketers, and the kind of people who sign up for everything new. Many of them had no clinic at all. The form asked about clinic size, but there was nothing stopping someone from picking a number.

The question we should have asked

The single biggest mistake was that joining the waitlist cost nothing. No money, no time, no commitment. An email address is the cheapest signal of interest a person can give.

In hindsight, I would have added one small hurdle. Even a fifteen-minute call booking, or a question like "What are you using for scheduling today, and what does it cost you?" would have filtered out the curious and kept the serious. We would have had maybe 1,500 names instead of 11,000. That would have felt worse in investor meetings and been far more useful in every other way.

What actually predicted payment

After launch I went back and matched the paying customers against their waitlist data. A few things stood out:

• People who replied to our welcome email converted at about 19 percent. Replying took effort.
• People who had joined through a customer referral converted at around 14 percent.
• People from the giveaway converted at 0.3 percent. Almost none of them paid.

If I had segmented the list by those signals before launch, we would have planned our onboarding capacity completely differently. Instead we hired two extra support people for a wave that never came.

How I run waitlists now

I still think waitlists are useful, but I treat them as a research tool rather than a scoreboard. Every waitlist I run now includes a short open question, and I read the answers weekly. Anyone who writes more than a sentence gets a personal email from me.

I also stopped reporting the raw number. In team updates, I share how many people on the list have a real problem we solve and have told us so in their own words. It is a much smaller number. It is also the only one that has ever predicted revenue.

The newsletter mention that brought in 4,000 names was a lovely day. I remember refreshing the counter like a kid. I also remember that, out of those 4,000 people, nine became customers.