Voices of Search Podcast Episode Summary

Episode: The biggest mistake brands make when they try to be “AI commerce ready”

Host: Jordan Cooney
Guest: Katie Morrow, Director of Managed Services at ProductsUp
Date: April 7, 2026

Overview

In this concise episode, host Jordan Cooney sits down with Katie Morrow to uncover a crucial pitfall that brands face when preparing for AI-powered commerce. The discussion centers on the fundamental missteps brands make in understanding their customers’ purchasing behaviors and how to make more data-informed decisions in a world rife with tracking ambiguity.

Key Themes and Insights

1. Major Mistake: Lacking Insight into Buying Behavior

• Katie Morrow highlights the #1 mistake:

  “They don't know how people are going to actually buy their products and they can't see that that's where it came from.”
  (00:54)

• Brands often prepare for AI commerce by enhancing technology or catalogues but overlook understanding the actual buyer journey and attribution.

2. Navigating a World of Tracking Ambiguity

• Jordan Cooney asks how to make strong decisions when it’s hard to trace customer actions:

  “...in this tracking ambiguity world we're living, how do you make good decisions?”
  (02:28)

• Katie Morrow’s Practical Advice:

  “You expose just a small subset of your product catalog and you watch it every day.”
  (02:34)

• She suggests testing and closely monitoring a focused segment instead of rolling out changes across the entire product line. This helps brands detect what works in real-time, despite imperfect tracking.

Notable Quotes

• Katie Morrow (on attribution blindspots):

  "They don't know how people are going to actually buy their products and they can't see that that's where it came from."
  (00:54)

• Jordan Cooney (on operational challenges):

  "…in this tracking ambiguity world we're living, how do you make good decisions?"
  (02:28)

• Katie Morrow (on focused testing approach):

  "You expose just a small subset of your product catalog and you watch it every day."
  (02:34)

Structure & Timestamps

• [00:42] Introduction and framing the core question: The biggest AI commerce readiness mistake.
• [00:54] Katie outlines the primary misstep: misunderstanding buyer journey and attribution.
• [02:28] Addressing operational decisions amid digital tracking limitations.
• [02:34] Katie describes a tactical, focused product testing method.
• [02:49+] Brief wrap-up.

Tone & Takeaways

The episode is direct, practical, and brisk, reflecting both speakers' insistence on data-driven action and adaptation in the evolving commerce landscape. The central message for brands: Focus on truly understanding how customers buy—not just on adding tech features or data points. In uncertain times, run focused experiments, study results up-close, and always “remember the answers are always in the data.”

Recommended For:

• E-commerce and marketing teams transitioning to AI-enhanced commerce
• Brand strategists frustrated by attribution or measurement challenges
• Anyone who wants actionable, real-world advice (minus the usual AI hype)

Summary Prepared by:
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