Article · ~10 min read

K-Factor Benchmarks

Michael Taylor · Saxifrage Blog Free Intermediate

This is the honest counterweight to the hype in your question. It states plainly that a K-factor above 1 is rare, then backs it with real numbers: consumer internet products doing well sit around 0.15 to 0.25, and even 0.2 is genuinely good. It resets your expectations before you burn months chasing a number almost nobody hits.

  • K-factors above 1 are rare, so treat 0.15 to 0.25 as a solid result and 0.7 as outstanding for most consumer products.
  • Even a K-factor of 0.2 pays off, it means one free signup for every five you paid to acquire, which meaningfully lowers your blended cost.
  • Benchmarks vary wildly by category (Slack and Facebook are outliers, payments companies sit near zero), so compare yourself to your product type, not the headline case studies.
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The question it answers

  1. What's a viral coefficient, and is chasing a k-factor above 1 realistic for my kind of product?

Read with it

  1. This is the piece nearly every later explainer is quoting from, so start at the source. Skok lays out the actual math (K =... For Entrepreneurs Essay · ~15 min read Lessons Learned: Viral Marketing David Skok
  2. Reading about k-factor is one thing, measuring your own is another. This is a plug-in-your-numbers spreadsheet: enter your user... Rows Tool · Free web tool Virality (k-factor) Calculator and Spreadsheet Rows
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