From 3,400 Visitors to One Customer: What I Learned Building Avery
What One Customer Taught Me About Product-Market Fit
After a year of building Avery, I spent $500 to learn what actually matters to users. The results weren't pretty, but they were educational.
A few weeks ago I asked Avery what she can actually do, and her answer made me realize how much I've poured into this product over the last year.
Turns out I've been busy:
- Set any kind of reminder (recurring ones too)
- Keep track of tasks with priorities, tags, all that
- Sync the important stuff straight to Google Calendar
- Break down overwhelming projects into actual steps
- Track goals and progress over time
- Remember random facts (your mom's birthday, that restaurant you liked)
- Send daily/weekly summaries or bug you about overdue things
- Look up local events, weather, whatever you need
- Change her whole personality if you want (more jokes? less chat? done)
Reading it back, I felt proud for about three seconds. Then it hit me that building features isn't the same as validating demand. Time to test whether people actually wanted a message-based chat assistant like Avery.
The $500 Reality Check
So I ran my first real marketing test: $500 on Reddit ads over a month. The results? 3,400 visitors, 80 signups, 18 trials, and exactly one paying customer. That's a 0.03% visitor-to-customer conversion rate—definitely room for improvement.
The Numbers Breakdown
- 3,400 visitors to the landing page
- 80 people who signed up (2.35% conversion)
- 18 started a trial (22.5% of signups)
- 1 paying customer ($9.95/month)
- $500 spent to acquire one customer
What That One Customer Revealed
Here's the thing though: that one person is using Avery daily. It's solving a real problem for them. My job now is finding everyone else who needs this.
The data tells a story. People are interested enough to sign up (2.35% isn't terrible for cold traffic). A decent chunk will try it (22.5% signup-to-trial is solid). But somewhere between starting the trial and hitting that payment button, I'm losing 94% of people.
That's not a product problem. That's a "I haven't nailed the value proposition yet" problem.
Lessons From the Trenches
What Worked
- Daily posting on LinkedIn and Instagram generated consistent organic interest
- The conversational interface resonated with people who hate traditional task apps
- WhatsApp as a platform removed friction—people are already there
What Needs Work
- Reddit ads had brutal ROI (though great for learning about my audience)
- Homepage copy isn't converting trial users to paid customers
- I'm clearly not reaching the right people in the right places yet
What's Next: Less Building, More Listening
Features won't save me now. I need to understand why 17 people tried Avery and didn't stick around. Time to stop coding solutions and start asking better questions.
The focus for the next quarter:
- Interview the people who didn't convert (with their permission)
- Test different messaging angles that focus on outcomes, not features
- Find where people with ADHD and executive function challenges actually spend time online
- Double down on what's working (that daily user is giving me great feedback)
The Real Test
Building Avery taught me that the hardest part isn't writing the code. It's finding the people who need what you've built and explaining why it matters to them.
If your brain works like mine—if traditional task apps feel overwhelming and lists feel like lies you tell yourself—Avery might click for you. She's at textavery.com.
Maybe you'll be customer number two. And if you are, I promise I'll learn just as much from you as I did from customer number one.
See these ideas in practice
Avery is the proactive AI assistant built on everything written here. It lives on WhatsApp and reaches out to you—not the other way around.
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