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!
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
