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At Xnurta’s Signal to Scale Summit this week, I heard some of the most practical conversations yet about how brands are actually using AI in retail media. Spark Foundry’s Kris McDermott summed up the mood perfectly: “We did AI. To what end? That is not a verb.”
From Boiron managing 50,000 keywords with a two-person team, to AI-powered creative testing that drove a 29% sales lift, this episode explores where agentic workflows are delivering real operational value, and where they still require strong human oversight.
I also break down why advanced practitioners are moving beyond ROAS as the primary metric, what Amazon Ads is building with MCP servers and Skills, and why Xnurta's new open-source AI evaluation framework could become critical infrastructure for the future of retail media automation. The biggest takeaway: AI can accelerate performance, but only when paired with clear goals, guardrails, and teams that still understand “the gears” behind the machine.
This episode is sponsored by Mirakl Ads
Timeline
[00:00] — “We did AI. To what end?” and the real theme of the summit
[01:18] — Boiron’s AI-powered retail media workflow managing 50,000 keywords
[02:00] — AI image scoring drives a 29% sales increase
[03:30] — Why ROAS alone is not the goal anymore
[04:15] — The “automatic vs stick shift” analogy for AI media buying
[06:04] — Xnurta launches open-source AI evaluation framework for retail media
Links & Resources
By Kiri Masters5
99 ratings
At Xnurta’s Signal to Scale Summit this week, I heard some of the most practical conversations yet about how brands are actually using AI in retail media. Spark Foundry’s Kris McDermott summed up the mood perfectly: “We did AI. To what end? That is not a verb.”
From Boiron managing 50,000 keywords with a two-person team, to AI-powered creative testing that drove a 29% sales lift, this episode explores where agentic workflows are delivering real operational value, and where they still require strong human oversight.
I also break down why advanced practitioners are moving beyond ROAS as the primary metric, what Amazon Ads is building with MCP servers and Skills, and why Xnurta's new open-source AI evaluation framework could become critical infrastructure for the future of retail media automation. The biggest takeaway: AI can accelerate performance, but only when paired with clear goals, guardrails, and teams that still understand “the gears” behind the machine.
This episode is sponsored by Mirakl Ads
Timeline
[00:00] — “We did AI. To what end?” and the real theme of the summit
[01:18] — Boiron’s AI-powered retail media workflow managing 50,000 keywords
[02:00] — AI image scoring drives a 29% sales increase
[03:30] — Why ROAS alone is not the goal anymore
[04:15] — The “automatic vs stick shift” analogy for AI media buying
[06:04] — Xnurta launches open-source AI evaluation framework for retail media
Links & Resources

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