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.


When devising a customer segmentation strategy, there are two key types to keep in mind: macro-segmentation, which generally splits up consumers by top-level customer data such as gender, geographic location, gender, or device, and micro-segmentation, which uses more specific behavioral input and psychographic data, such a values and lifestyle choices. Micro-segmentation ensures you have clear sub-groups of your audience, in order to create a relevant, and personalized experience. When carrying out any kind of online personalization, both macro-segmentation and micro-segmentation are important approaches.