8% Revenue Lift from Mobile-Specific Personalization

The Challenge A multi-channel, casual apparel retailer wanted to improve consumer engagement and increase ecommerce revenue through personalization on their website. Their previous model standardized product recommendations across all audiences on all digital platforms, but they weren’t seeing the results...

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Improved Personalization Data Models Builds 265% Revenue Boost

Client: Industrial Supplies Retailer The Challenge A leading supplier of residential and commercial construction supplies wanted to increase ecommerce revenue by personalizing product recommendations. Previously, they produced generic product recommendations in high-traffic areas on their website. They showcased top-selling products...

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Browsing Data Lights Up $2 Million in Annual Revenue

Client: Lighting Retailer The Challenge An online lighting and fan retailer was producing product recommendations on their website according to customer browsing behaviors, but they weren’t seeing a substantial return. They hoped to expand ecommerce revenue by modifying the strategy...

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