Measuring Product-Market Fit: Quantitative Metrics That Matter
NPS is just the start. Learn about the Sean Ellis test, retention cohorts, and the engagement metrics that investors really look for.
Measuring Product-Market Fit: Quantitative Metrics That#
Product-Market Fit (PMF) is the holy grail. But it feels mystical. "You'll know it when you feel it," they say. That's terrible advice. You can measure it.
Related reading: See our articles on bootstrapping vs fundraising and side projects that became empires for more insights.
1. The Sean Ellis Test (The 40% Rule)#
Ask your users: "How would you feel if you could no longer use this product?"
- Very Disappointed
- Somewhat Disappointed
- Not Disappointed
Benchmark: If >40% say "Very Disappointed," you likely have PMF.
2. Retention Cohorts: The Smile Graph#
Look at your user retention over time.
- Bad: The curve goes to zero.
- Good: The curve flattens out (some users stay forever).
- Great: The curve smiles (users come back and re-engage more over time).
3. Organic Growth vs. Paid Growth#
If you turn off Facebook ads, does your growth stop?
- Pre-PMF: Growth is linear to ad spend.
- Post-PMF: Word of mouth drives compounding growth.
4. Engagement Indices#
Daily Active Users (DAU) / Monthly Active Users (MAU).
- For a social app, >20% is good. >50% is world-class.
Conclusion#
Don't scale until you have proof. Scaling before PMF is the "Leaky Bucket" problem—you're just pouring money into a hole. Measure first, then accelerate.
Further Reading:
- Y Combinator: Product-Market Fit - Startup wisdom and PMF frameworks from the world's most successful accelerator.
- a16z: Finding Product-Market Fit - Insights on measuring and achieving PMF from Andreessen Horowitz's venture capital experts.
- Learn more about our editorial team and how we research our content.
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