How Boots is operationalizing creative effectiveness

The gap between creative and media is closing, with large scale creative data and next-gen measurement tools combining to predict commercial outcomes, not just clicks. Boots' Peter Grant, CreativeX's Anastasia Leng and DAIVID's Ian Forrester join the pod to share the lessons from a pilot experiment at health and beauty retailer Boots, and what its taught them about the future of creative effectiveness. Hosted by WARC's David Tiltman.

Guests:
Peter Grant, interim media and marketing effectiveness director, Boots
Anastasia Leng, founder and CEO of CreativeX
Ian Forrester, founder and CEO of DAIVID

Chapters:
[00:00] Boots, CreativeX and DAIVID’s Real‑World Test
[03:55] Boots’ effectiveness journey
[05:49] 3,500 assets at scale: how CreativeX built creative observability for Boots
[07:43] What is a creative quality score?
[09:32] Inside DAIVID’s model: attention and brand recall metrics
[11:41] Human ground truth vs synthetic data panels
[12:52] Linking creative signals to real‑world commercial outcomes
[14:55] Results of the testing on Meta and YouTube
[17:22] Diagnosing boredom, confusion and underperforming creative at scale
[20:02] How Boots uses creative data to reinvest, not cut, media spend
[22:02] From one‑off analysis to always‑on optimization
[24:34] Feeding signals into GenAI and creator workflows
[27:26] Fixing long‑tail content waste in digital media
[30:18] Common language for creative and media teams
[38:06] Boots’ 18‑month vision: operationalized creative effectiveness

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