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Why self-serve analytics keeps disappointing everyone

Original: Data for All?

Brittany
May 29, 2025
2 min read
Opinion
Intermediate
Data for All?

Summary

Strategies and tactics for acquiring, activating, and retaining customers through freemium, free trials, usage-based pricing, and in-product activation loops. Covers the key principles and metrics for building a successful product-led growth motion.

Who This Is For

Business Analysts
Product Managers
Data Scientists

Key Takeaways

  • Most companies have only 1-2 power users of self-serve analytics tools despite company-wide investments
  • The promise of 'data democratization' fails due to both technical and psychological barriers
  • Organizations often have unrealistic expectations about discovering 'interesting' insights from data
  • AI may offer new solutions to overcome traditional self-serve analytics challenges

Tools & Technologies

Self-serve analytics platforms Raisin Data Business intelligence tools

Topics Covered

product-led-growth freemium free-trials usage-based-pricing activation-loops

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Topics

product-led-growth freemium free-trials usage-based-pricing activation-loops