Why self-serve analytics keeps disappointing everyone
Original: 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
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
Topics Covered
Ready to dive deeper?
Read Full Article on datafordoers.substack.com