Google Vertex AI Search for Commerce

This action streams real‑time user behavior events directly to Vertex AI Search for Commerce using the userEvents:write endpoint, enabling immediate personalization and model updates based on live shopper activity. Typical event types include add‑to‑cart, remove‑from‑cart, category page views, detail page views, home page views, purchases, searches, and shopping cart page views, giving retailers full coverage across the commerce journey.

By sending rich context such as product IDs, cart details, revenue, page context, search queries, and experiment identifiers, Tealium helps Vertex AI Search for Commerce continuously refine relevance models, optimize recommendations, and drive higher conversion and average order value.

Beyond simple keyword matching, Vertex AI Search for Commerce applies Google‑grade relevance ranking, semantic understanding, and personalization signals to connect shoppers with the most meaningful products faster. Unified product catalog data and behavioral signals help reduce zero‑result searches, surface long‑tail inventory, and adapt results to each individual customer journey.

Together, Tealium and Vertex AI Search for Commerce allow retailers to turn every interaction into smarter discovery – powering more engaging search and recommendations, increasing conversion rates, and giving merchandising teams richer insight into what customers actually want to find and buy.