Listen "What Comes After Customer Segmentation"
Episode Synopsis
You’ve got the tools. The data. Even the AI models. So why does your personalization still feel... generic?In this episode, we challenge the assumption that more data and better models automatically lead to better customer experiences. We unpack why even with cutting-edge tools like GPT-4o, Claude, and Gemini, many companies still struggle to make customers feel truly seen.This episode covers:Why most personalization strategies fail to deliver emotional relevanceThe biggest organizational blind spots—fragmented data, brand voice inconsistency, and privacy fearsReal-world examples of personalization done right across marketing, sales, and serviceWhat executives need to shift: from campaigns to capabilities, from tactics to infrastructureIf you’ve invested in AI but still can’t crack customer resonance, this episode is for you.Discover what it really takes to personalize at scale—and why segmentation is just the starting point.
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