The Evolution of Personalization

[RufaidaKhatun]

Personalization 1.0: Segmentation Based on Demographics In its early stages, personalization in market research was driven by demographic data such as age, gender, location, and income. While useful for broad targeting, this method often missed nuances in individual behaviors and preferences. 2.1.2 Personalization 2.0: Behavioral and Transactional Data As digital technologies advanced, companies began using behavioral data.

Purchase history, browsing patterns) to create more relevant and personalized market research experiences. For example, instead of asking the same set of questions to every participant, companies can now adjust surveys in australian whatsapp number real time based on previous behaviors. 2.1.3 Personalization 3.





0: Hyper-Personalization with AI and Predictive Analytics Today, personalization has reached the level of hyper-personalization, where AI and predictive analytics play a central role. Hyper-personalization analyzes data in real time to anticipate customer needs, offering dynamic surveys that evolve throughout the respondent’s journey.