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Ethical Use of AI and Data 5.3 Over-Personalization and the “Ripper Factor” 5.4 Maintaining Consumer Trust 6. The Future of Personalization in Market Research 6.1 Hyperpersonalization and AI 6.2 Personalization Over E-Commerce 6.3 AR/VR in Personal Market Research 6.4 Martech Progress 7. In conclusion Talk to our Expert 2. The Rise of Personalization in Market Research Personalization in market research has developed significantly over the past decade, especially with the integration of advanced technologies comoros b2b leads such as AI, machine learning, and predictive analytics. What started as a basic marketing tactic of including a customer's name in an email has grown into a sophisticated strategy that customizes entire experiences to the individual's preferences, behaviors, and needs.

The Evolution of Personalization 2.1.1 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 (e.g., 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 real time based on previous behaviors.