Personalization Glossary

A/B testing? Recommendation models? The personalization engine space uses several acronyms that may seem daunting, so we're here to help. You can find definitions to the most common e-commerce customer experience optimization terms here!

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Style Profiles

Style profiles capture visual affinities (Eg-color, pattern, shape), and non-visual affinities (Eg- brands, categories, price) to build a comprehensive understanding of every individual shopper.

These are what go into the style profile of each shopper.

  • Behavioral cues: what the shopper is clicking on, what products they’re adding to the cart, the pages they’re looking at and the pages they’re bouncing off of
  • Transactional data: what the shopper has bought in the past, what they’ve returned
  • Demographic data

Not only does it provide cues for visual merchandising, but it also facilitates styling decisions and impacts buyers’ decisions for buying inventory for the season to come.

A good retail personalization engine can understand visual and non-visual cues to build style profiles for every shopper, and then combine this with contextual shopper intelligence to deliver the right product at the right time for the right shopper

Navigate between the letters, to explore the glossary terms