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Consumer AI Product Strategy

Understanding how to successfully launch and scale AI products for mainstream consumers

beginner10 / 16

Performance Metrics

Key Performance Indicators#

  1. User Metrics

    • Daily/monthly active users
    • User retention rates
    • Session duration
    • Feature adoption rates
  2. Business Metrics

    • Revenue growth
    • Customer acquisition cost
    • Customer lifetime value
    • Churn rates
  3. Product Metrics

    • Feature usage patterns
    • User satisfaction scores
    • Technical performance
    • Error rates

Analytics Implementation#

  1. Data Collection

    • User behavior tracking
    • Performance monitoring
    • A/B testing capabilities
    • Real-time analytics
  2. Insight Generation

    • User segmentation
    • Pattern recognition
    • Predictive analytics
    • Recommendation systems
Section 10 of 16
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