Retailers use new technologies and approaches to improve the customer experience.

Retailers know that consumers expect some level of personalization in their online shopping experience. Adding personalized elements, such as product recommendations, apparel-fitting technology tools or cart-abandonment emails, can increase sales and reduce return rates.

Many online retailers are finding that adding personalized elements on their websites and adopting personalized marketing tactics helped boost their sales and average order value.

This report, Online Personalization in Ecommerce, examines how online retailers apply personalization technology and its subset machine learning to respond to challenges, as well as how vendors are developing sophisticated technology to pave the way. These examples aim to help other retailers learn to apply such tools to streamline processes and grow sales.

Compliments of Melissa Data, Ignition One, Episerver, Monetate, Bloomreach, Hawksearch


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