Enterprise Prediction Service

Sam proposes creating an enterprise trend forecasting service that helps companies predict future trends 12-36 months ahead, focusing on areas where businesses need to make substantial spending decisions today for future outcomes.

Key Components:

• Core Service Structure:

  • Monthly detailed reports (1,000-2,000 words)
  • Regular consultation calls
  • Access to expert consultants
  • Community membership
  • Annual conference

• Research Methods:

  • Survey pools of 1,000-10,000 people
  • Sentiment analysis
  • Social media trend analysis (Reddit, TikTok)
  • Multiple data point consolidation
  • Expert analysis and predictions

• Target Market:

  • Enterprise clients willing to spend $20,000-50,000 per year
  • Companies making significant future-focused decisions
  • Examples: HR departments predicting work trends, companies planning color schemes

• Revenue Model:

  • Annual subscriptions ($20,000-50,000)
  • Additional consulting services
  • Conference revenue

• Competitive Advantage:

  • Focus on specific industries or decision types
  • Combination of data and expert analysis
  • Help companies make expensive decisions with more confidence
  • Regular access to consultants for decision validation

This model follows successful examples like WGSN (color trends) and L2 (sold for $300M), but can be applied to various industries where companies need to make significant future-focused decisions.