The 90% startup failure rate isn't a law of nature — it's a measurement of how badly the industry selects investments. After analyzing 50 years of startup outcomes across 15,000+ data points, we've identified the quantitative signals that separate the winners from the rest.
CB Insights famously catalogued startup failure reasons. Our data adds quantitative context:
The #1 killer isn't a bad product — it's bad timing. 42% of failures are attributed to building something the market wasn't ready for.
The quantitative signal: Market Velocity — the rate at which the target problem is becoming more expensive to ignore. Companies with Market Velocity scores in the top quartile are 5x more likely to reach $10M ARR.
Co-founder conflict, skill gaps, and key person departures kill nearly a quarter of startups.
The quantitative signal: Team Synarchy — balanced founding teams (Visionary + Builder + Scaler) are 3.2x more likely to reach Series B than solo founders.
Running out of money, or worse, spending inefficiently and needing to raise at unfavorable terms.
The quantitative signal: Burn Multiplier <1.5 at Series A correlates with a 75% higher probability of raising a Series B. Companies burning >$3 per $1 of new ARR rarely survive a market correction.
A better-funded or better-positioned competitor captures the market.
The quantitative signal: Execution Velocity — founders who iterate 2x faster than peers have a 60% higher probability of surviving competitive threats.
Regulation changes, economic downturns, or black swan events.
The quantitative signal: Capital Efficiency — companies with low burn and high NRR weather external shocks because they can survive without fundraising.
Across our dataset, the startups that reach $100M+ outcomes share these quantitative traits:
If you could screen for these five signals before making an investment, you'd dramatically improve your hit rate. That's exactly what quantitative due diligence does — it replaces the 90% failure rate with data-driven selection.
Stop relying on gut feel. Predict Ventures benchmarks every startup against 15,000+ data points and 50 years of exit history to give you a quantitative edge.
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