Don't Talk Data to Me
summary
Argues that data should stay in the appendix and decisions sell as human benefits: email yields 40:1 email ROI, Coachella-style app messages drive on-site offers and a $20 golf-cart upsell, and simple automations like save ten hours a week automatic file naming prove value fast. Notes industry stats — 21% claim vs 75% failure on digital transformation — and recommends low-hanging ETL fixes, persona-driven one-to-one pitches, multi-armed testing for creative thumbnails (Netflix example), and avoiding invasive personalization that feels like stalking.
AI-written summary · about
chapters (19)
- 0:00Introduction and speaker intro
- 1:23From rock star to data strategist
- 3:54Data’s role in music industry revival
- 5:40Digital transformation misconceptions
- 7:04Selling change through emotion
- 9:11Overcoming team resistance
- 11:17Reverse engineering your pitch
- 13:06Avoiding creepy data use
- 15:56GDPR and customer consent
- 17:41Data misuse and customer retention
- 19:50Personalization done right
- 22:15When creepy data use works
- 24:45Upselling with customer data
- 26:10Simplifying storytelling
- 27:56Starting with small wins
- 29:03Uniting siloed teams
- 31:21Connecting emotionally
- 33:10Tailoring your pitch
- 34:43Q&A and closing
related talks
28mCrafting Hyper-Relevant User Experiences
27mVisual Design - Do not let Data be your cul-de-sac!
43mWhy Talking to Humans is Your Best Product Strategy
41mPersonalized By Design: How to unlock long term customer value with data
34mA Human Touch to Consumer Experience Powered by Data
49mWeb psychologist explains the secrets of addictive UI design
56mThe Shady Secrets From The Dark Corners of Web Interfaces
40mYou Got to Fight for the Right to Delight