Personalization Glossary

At PSYKHE, we're obsessed with the why: Why do we like the things we like? Why does one person like a pair of shoes, a sofa, a travel destination, or a song, while someone else does not? Understanding all the factors that drive individual taste, including personality and psychographic data, enables us to create the world's most sophisticated recommendation engine. After all, you can't personalize without personality. Shaping a stellar recommendation strategy is a big job, so to help you grasp what a complete AI personalization blueprint for your business entails, we've collated definitions related to personalization here.

First-Party Data

The data relevant to a company’s customers that is collected and owned by that company is referred to as first party data. In this case, information about customers is compiled through software and systems that the organization itself owns. The organization can then use this data (demographics, purchase history, digital interactions, behavior, preferences, and so on) to deliver highly targeted experiences to users and increase brand loyalty. First-party data is considered to be one of the most valuable sources of user data because of its cost-effectiveness, accuracy, and relevance to the brand.