Nestlé Mexico Had More Scale Than It Knew What To Do With – Until It Unified Its Data
This article explores how Nestle México, a multinational food and beverage company with over 70 brands, has struggled to manage its massive scale and the challenges it presents in understanding customer engagement across its diverse product range. By partnering with AI platform Treasure AI, Nestle México has been able to unify its data, break down silos between brands, and create more personalized, effective marketing strategies.
Original reporting · adexchanger.com
Read “Nestlé Mexico Had More Scale Than It Knew What To Do With – Until It Unified Its Data” at AdExchanger →How this was written. 1to1 wrote this article with a language model from AdExchanger’s reporting (model: @cf/ibm-granite/granite-4.0-h-micro); it describes that reporting rather than adding to it. The original, linked above, is the full story.
Key points from AdExchanger’s report
- Nestle México owns over 70 brands, ranging from coffee to baby food, making it difficult to understand the full scope of customer experiences without comprehensive data analysis.
- The company partnered with Treasure AI, now rebranded as an 'agentic experience platform,' to break down silos between its brands and create a more unified data strategy.
- Using engagement data and demographic information, Nestle México was able to segment its audience into three main groups: traditionalists, experts, and explorers, allowing for more targeted and personalized marketing campaigns.
From the source
Prior to adopting Treasure AI, Nestlé Mexico had looked at data and targeting on a brand-by-brand basis. Now, its entire portfolio is unified in one system.