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.

Third-Party Data

Data that has been collected by a business or other entity that doesn't have any direct link to the visitor or customer, is referred to as third-party data. Third party data is often collected, aggregated, and sold to companies to help them build better digital customer experiences and develop retargeting strategies. As it's not collected directly from the company's actual customers, is available to potential competitors, and the data quality is often unclear, third-party data is not considered as valuable as first-party data. However, third-party data can be useful if used as a complement to first-party data when developing personalized experiences.