Strategy & Portfolio
Signal vs. Noise
The distinction between metrics and signals that reflect genuine business health versus vanity metrics that look impressive but don't predict outcomes.
In startup and VC analysis, separating signal from noise is one of the most important analytical skills. Noise metrics include total app downloads, social media followers, press mentions, and GMV that doesn't translate to revenue. Signal metrics include retention rates, NPS, CAC payback, and revenue per employee.
The term comes from information theory but has been widely adopted in startup culture, particularly in discussions about which metrics actually matter when evaluating company health.
In Practice
A consumer app reporting 10M downloads (noise) vs. 500K daily active users with 60% Day-30 retention (signal). The downloads feel impressive; the retention tells you whether the product actually works.
Why It Matters
Founders who optimize for noise metrics raise at inflated valuations, mislead investors, and ultimately build fragile businesses. VCs who fall for noise metrics destroy LP capital. The best investors have developed frameworks for identifying the 2-3 signal metrics that actually predict a company's trajectory.