172: Ankur Kothari: A practical guide on using AI to improve retention through personalization скачать в хорошем качестве

172: Ankur Kothari: A practical guide on using AI to improve retention through personalization

What’s up everyone, today we have the pleasure of sitting down with Ankur Kothari, Adtech and Martech Consultant who’s worked with big tech names and finance/consulting firms like Salesforce, JPMorgan and McKinsey. #aiformarketing #personalization #marketingstrategy Full episode: https://humansofmartech.com/2025/05/1... 📬 1h episodes turned into 5min takeaways: https://humansofmartech.com/subscribe/ In this episode we cover: • AI Personalization That Actually Increases Retention • Step by Step Approach to AI Personalization With a Maturity Framework • Fix the Stack You Have Before You Buy Another Tool • Balancing AI Personalization With Human Context • Predictive Loyalty Engines are Coming to a Martech Stack Near You Summary: Ankur explains how most AI personalization flops cause teams ignore the basics. He helped a brand recover millions just by making the customer journey actually make sense, not by faking it with names in emails. It’s all about fixing broken flows first, using real behavior, and keeping things human even when it’s automated. Ankur is super sharp, he shares a practical maturity framework for AI personalization so you can assess where you currently fit and how you get to the next stage. Chapters: 00:00 Intro 00:34 In This Episode 03:57 AI Personalization That Actually Increases Retention 10:02 Step by Step Approach to AI Personalization With a Maturity Framework 12:44 Personalization Maturity Framework 28:37 Fix the Stack You Have Before You Buy Another Tool 31:25 Everyone Wants to Own the Orchestration Layer 38:13 Ideal Team Structure for Scaling Personalization 40:48 Stop Pretending Your Data Is Ready for AI 44:48 Balancing AI Personalization With Human Context 47:46 Predictive Loyalty Engines are Coming to a Martech Stack Near You 50:11 Protecting Your Sanity While Scaling Martech