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[RECORDED] What do you recommend? Delight customers and increase revenue with product recommendations

Today your ecommerce customers expect to be shown recommendations as they browse your product catalog. But, “most popular” is a filter that isn’t going to cut it anymore. There are many better approaches now for providing recommendations - from "others also bought" to context driven recommendations. Some involve more human intervention while others are algorithm driven. Depending on where you are in your ecommerce journey one or the other may be more suited to your site.

In this webinar we discuss:

  • What is a recommendation engine
  • 5 techniques for providing recommendations
  • What data, technology, and skills do you need in place for each approach
  • What you need to do to move to the next level

Speakers

  • Seth Earley
    Founder & CEO, Earley Information Science

  • Dave Skrobela
    Client Partner, Earley Information Science

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Earley Information Science Team
Earley Information Science Team
We're passionate about enterprise data and love discussing industry knowledge, best practices, and insights. We look forward to hearing from you! Comment below to join the conversation.

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