Independent reporting, selected daily How this publication works

ABM Fuel

Account-based marketing and demand generation

Follow via RSS

Coverage note

Nestlé Mexico Had More Scale Than It Knew What To Do With – Until It Unified Its Data

Read the original at AdExchanger

Read “Nestlé Mexico Had More Scale Than It Knew What To Do With – Until It Unified Its Data” at AdExchanger →

Machine-written summary. The paragraph and the list below were written by a language model reading AdExchanger's article, not by ABM Fuel's editors, and they describe that article rather than add to it. (model: @cf/ibm-granite/granite-4.0-h-micro) The original, linked above, is the actual reporting.

Nestlé México, a multinational food and beverage company with over 70 brands ranging from coffee to baby food, faces the challenge of managing its vast scale and data silos. The company partnered with AI platform Treasure AI to unify its data and improve customer engagement, targeting, and personalization across its diverse product portfolio. This initiative aims to break down silos between brands and provide more accurate, holistic targeting for all Nestlé México customers.

What AdExchanger reported

  • Nestlé México owns over 70 brands, including coffee, candy bars, and baby food, making its customer data complex and requiring unified analysis.
  • The company partnered with AI platform Treasure AI, now rebranded as an 'agentic experience platform,' to break down data silos and improve customer engagement and targeting.
  • Using engagement data and demographic information, Nestlé México identified three main audiences for its La Lechera brand: traditionalists, experts, and explorers, allowing for personalized targeting and campaigns that increased open rates by nearly twice the previous baseline.
Read the full story at AdExchanger → Back to Friday, October 9, 2026's edition