Skip to main content

Data-Driven App Validation: How a Solo Founder Tested Demand with Web Funnels

Marcus Persson

Background

Before building an app, most founders either guess or gamble. This solo entrepreneur wanted to take a smarter route: test the idea, validate demand, and gather real user behavior data — without hiring engineers or building an MVP.

Using Zellify, they launched a full pre-product funnel, captured leads, and modeled conversion and CAC before committing to app development.


The Idea

The concept was simple: a personalized mental wellness app that would recommend tailored daily routines based on a user's personality, sleep habits, and stress levels.

The founder wanted to test:

  • Would people click?
  • Would they complete a funnel?
  • Would they submit their email?
  • Would they convert on a pricing page?
  • Would the unit economics make sense?

Step 1: Building the Funnel (No Code Required)

Using Zellify, the founder created:

  1. Landing Page — Clear pitch of the problem + social proof
  2. Personality Quiz — 7 questions about mood, sleep, lifestyle
  3. Results Page — “Here’s your daily wellness plan”
  4. Web Paywall — Monthly/annual pricing shown (no actual charge)
  5. Email Capture — Option to get notified when the app launches

The funnel was designed in under a day. No engineers, no designers. Just content and strategy.


Step 2: Launching Traffic

The founder ran $500 in paid TikTok and Meta ads, targeting:

  • 18–34-year-olds interested in mindfulness, health, productivity
  • Geographies: US, UK, Canada

UTMs were tracked. Zellify captured:

  • Quiz drop-off
  • Email opt-ins
  • Paywall clicks

Step 3: Results & Conversion Metrics

Funnel Stats (based on 2,300 unique visitors):

  • Quiz Start Rate: 57%
  • Quiz Completion Rate: 38%
  • Email Capture Rate: 24%
  • Paywall CTA Click Rate: 9.5%
  • Simulated Purchase Intent: 3.4%

The quiz provided rich behavioral signals. The most common segments:

  • “Stressed achievers” (41%)
  • “Sleep-deprived students” (27%)
  • “Overwhelmed parents” (16%)

This helped the founder reframe the target ICP around stressed young professionals.


Step 4: Unit Economics & Model

The founder estimated CAC and LTV from funnel data:

  • Estimated CAC: $11.42
  • Simulated Conversion (to paid): 3.4%
  • Estimated ARPU (based on planned pricing): $45/year
  • Estimated LTV:CAC: ~3.7x

With these economics, the founder felt confident to move forward. Instead of building blind, they had real proof.


Outcome

The funnel not only validated demand but also:

  • Built an early waitlist of 600+ emails
  • Helped refine the messaging and value prop
  • Identified the most monetizable user segment

Development began with a clear feature roadmap based on quiz data and what users responded to.


Lessons Learned

  • Funnel-first validation avoids wasting 3+ months and $$$ on unproven ideas.
  • Quiz personalization boosts engagement and reveals user segments.
  • Web paywalls simulate real purchasing behavior and reveal pricing sensitivity.
  • Zellify helps you test and validate mobile app ideas through real user data — before spending time or money on development