How Predictive Personalization Got a Little Too Predictive

Thanks for reading Practical Innovation w/ Jobs-to-be-Done! This post is public so feel free to share it.Why did predictive personalization—once hailed as the future of customer experiences—fail to live up to its promise? In this video, we explore how the over-reliance on data and algorithms missed the mark on delivering the outcomes customers truly wanted.Check out my JTBD Masterclass: https://mc.zeropivot.us/s/mc-1Consolidate your tech stack: https://effectivecrm.ai/gohereUsing the Jobs to Be Done (JTBD) framework and Outcome-Driven Innovation (ODI), we’ll uncover the real "job" of personalization:* Making users feel understood and valued.* Saving time and effort in finding what they need.* Helping them discover new and exciting options.* Building trust by respecting their individual preferences.We’ll dive into the common pitfalls, like the "creepy factor," overfocusing on predictive accuracy, and neglecting customer feedback, to show how personalization can succeed when we prioritize progress over tech-first solutions.🔑 Key Takeaways:* Why predictive analytics missed the mark.* The difference between desired outcomes and solutions.* How JTBD and ODI frameworks can guide better personalization strategies.👉 Don’t forget to like, subscribe, and comment on how you see the future of personalization evolving!#JTBD #PersonalizationFail #JobsToBeDone #ZeroPivotProblemSolving #CustomerExperience This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.jtbd.one/subscribe