What is Personalization?
Personalization is tailoring a service, message or experience to a specific person, using what is known about them such as past behavior, location or stated preferences.
Why does Personalization matter for marketers?
It is the main reason marketers collect and unify customer data, and the main place where data quality, consent and good judgment about what is helpful rather than intrusive meet.
Where does Personalization stand today?
Vendors in this directory sell it in different forms: Klaviyo and Braze for messages, Optimizely for web experiences, and suites such as Adobe and Salesforce for campaigns. Optimizely says its personalization engine is named a Leader in a 2026 Gartner Magic Quadrant; that is the vendor's own claim about a third-party report.
Common use cases
- Triggered email and messaging based on behavior
- Web and app content that changes by audience
- Product recommendations
Wikipedia describes the core mechanisms as behavioral tracking, contextual analysis, collaborative filtering and predictive modelling, and distinguishes implicit personalization, based on what a person does, from explicit personalization, based on settings they choose, with hybrids combining both.
The cost of getting it wrong
The same source discusses filter bubbles, where personalized algorithms limit exposure to different information, a concern raised by critics such as Eli Pariser. For marketers the practical version is simpler: personalization that relies on data people did not expect you to use damages trust, and consent rules may not permit it.