We enabled multi-brand personalization for an apparel holding company operating across the US & Canada using Marketing Cloud Personalization integrated with third-party email systems and advanced analytics tools.
The client had 3 distinct brands with separate websites and data structures, each tied into Marketing Cloud Personalization (MCP). Email campaigns were handled via Cheetah Mail, requiring a custom activity integration within SFMC Journey Builder. A significant complexity was introduced by BOPIS (Buy Online Pickup In Store), which created a large amount of offline data that needed to be synchronized through ETL pipelines.
The client aimed to replace generic ad placements with AI-powered Einstein Recipes and centralize analytics via Tableau, Datorama, and Snowflake, ensuring data-driven decision-making across all brands.
Personalized product recommendations and trigger-based content were executed across websites and email campaigns using custom logic, AI recipes, and cross-platform integrations.
Others Have Also Bought Carousel – Cart Page
Used Co-Buy Strategy to recommend frequently purchased products below the Add-to-Cart section. Filtering included brand, fit, material, pattern, and occasion attributes.
Recommended for You – Product Details Page
Displayed 5x3 carousel using Co-Browse strategy, based on browsing/purchase behavior and related products. Filters included sale status, newness, color family, and size options.
You May Also Like – Product Details Page
Collaborative filtering algorithm rendered personalized suggestions based on cluster behavior. Category-level filtering applied to suits, shirts, pants, etc.
Best Seller Sidebar Carousel
A vertical 3x3 carousel on category pages showing trending and in-stock variants from the same category. Leveraged “Trending” ingredients and visitor history.
Trigger Email Campaign – Store Locator
Upon cart abandonment, a segment was triggered in SFMC Journey Builder to send personalized product and store recommendations based on browsing history and proximity. Store data was fetched from a DE in SFMC using the user’s location attribute.
Mobile App Personalization
Product recommendations were displayed within the app’s Points Redeem section using mobile campaigns and Einstein Recipes.
Analytics Using Data Warehouse
Data from ETL feeds was queried in the warehouse and visualized in Tableau dashboards for business insights.
Pass Promotions via Email
Open Time Email campaigns sent personalized passes based on user affinities and point balances, driving redemptions.
The unified personalization framework improved customer engagement, drove higher redemption rates, and helped the brand turn their rewards program into a strategic digital touchpoint.
Let’s discuss how we can implement high-impact personalization for your business.
