Key Trends in AI-Driven Personalization

[asikurrahmanshuvo]

In 2024, the future of personalized market research will be shaped by advances in artificial intelligence (AI), machine learning, and martech (marketing technology), allowing companies to create more personalized and immersive experiences. With this advancement, businesses can gather deeper insights into consumer behavior and preferences, making their market research more effective and data-rich. 6.1 Hyperpersonalization and AI In the coming years, hyper-personalization—the ability to deliver highly individualized experiences by analyzing real-time data—will dominate market research. As AI becomes more sophisticated, researchers can anticipate customer needs before they even arise, creating relevant, contextual experiences. 6.

Real-Time Insights: AI tools will continue to enhance real comoros b2b leads time data processing, enabling dynamic surveys to be adapted not only based on respondents’ history but also in the moment, based on real-time feedback loops. Customer Sentiment: AI will track emotional reactions during research by analyzing sentiment, improving the depth and quality of data collected. Example: A company can perform real-time perceptual analysis during a video interview, adjusting questions based on facial expression or tone of voice, leading to more accurate and personalized insights. 6.2 Personalization Over E-Commerce While personalization has traditionally been associated with e-commerce and consumer goods, sectors like healthcare, financial services, and education are also embracing personalized research approaches.


In these industries, businesses will increasingly rely on personalized market research to gain deeper insights into customer needs, leading to more accurate product