Content Testing Ladder

A framework for testing content ideas across different mediums, showing how success rates decrease as complexity and investment increases.

Content Testing Success Rates

• Tweets: 7/10 success rate for good performance

  • 1/10 or 1/20 chance of being a "mega hit"
  • Fastest feedback loop (1-2 weeks to test)
  • Lowest investment required
  • Easiest to iterate and improve

• Blog Posts: Lower success rate than tweets

  • Requires more time investment
  • More complex to execute
  • Still relatively quick feedback

• YouTube Videos: Even lower hit rate

  • Higher production value needed
  • More complex execution
  • Longer feedback loop
  • Can leverage editing and visual elements

• TV Shows/Productions: Lowest hit rate

  • 2-3 out of 10 might succeed
  • Extremely long feedback loops (years)
  • Highest investment required
  • Hardest to iterate and improve
  • Most complex to execute

Key Success Factors

• Testing small before scaling up

  • Start with tweets to validate concepts
  • Progress to larger formats if successful
  • Use feedback from smaller formats to inform larger ones

• Learning from hits

  • Analyze which elements resonated
  • Look at engagement metrics
  • Use data to inform future content

• Progressive Investment

  • Start with low-cost, quick-feedback mediums
  • Only invest in higher-cost formats after proving concept
  • Reduce risk by validating ideas at smaller scale first

Real World Examples

• Mark Manson

  • Started as a blog post
  • Became successful book
  • Generated tens of millions in revenue

• Navaal

  • Started with tweet storm about getting rich
  • Could have been expanded into larger content

• The Bachelor

  • Successful TV show format
  • High production value
  • Complex execution but proven format