Essay · ~15 min read

Lessons Learned: Viral Marketing

David Skok · For Entrepreneurs Free Intermediate

This is the piece nearly every later explainer is quoting from, so start at the source. Skok lays out the actual math (K = invites times conversion rate) and then makes the counterintuitive point that cycle time, how fast the loop repeats, matters more than the coefficient itself. If you only read one thing to understand what a viral coefficient really is, read this.

  • The viral coefficient K is just invites sent per user multiplied by the percentage who convert, and you need K above 1 for true self-sustaining viral growth.
  • Cycle time is the hidden lever: because K compounds over t/ct, halving how long the loop takes can matter far more than nudging the coefficient up.
  • Most products will not hit K above 1, and that is fine, the essay reframes the goal as speeding up and amplifying whatever loop you have.
Open on forentrepreneurs.com ↗

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 honest counterweight to the hype in your question. It states plainly that a K-factor above 1 is rare, then backs it... Saxifrage Blog Article · ~10 min read K-Factor Benchmarks Michael Taylor
  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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