In order to drive accurate recommendations and increase consumer loyalty, retailers must use insights derived from shopper, product, and transaction data to curate more personal shopping experiences.
In this webinar, True Fit's Head of Data Science, Rhonda Textor, shared with attendees critical insights on new consumer trends and how data can be used as a tool to drive personal experiences. During the webinar, we covered:
+ How you can understand shopper preferences to populate the most relevant products to them in the future
+ How to make and personalize product recommendations in order to lift conversion, revisit rate and revenue
+ How to leverage personally relevant experiences to increase the likelihood that shoppers make repeat purchases
Drive Accurate Shopper Recommendations
About the Speaker:
Rhonda Textor is True Fit's Head of Data Science and is based in True Fit's Boston headquarters. Rhonda has led True Fit's Data Science team since 2015. She is passionate about modeling fit and style elements of both shoppers and garments to recommend products to shoppers that they love and that fit and flatter. With a personal interest in fashion, Rhonda is a self-described "data geek who gets paid to shop."
