Achieving hyper-personalization using modern DI & ML

3 on-ground examples of how marketers used data to achieve hyper-personalization and create an edge for their organization.

Hyper-personalization is the future of marketing. It helps brands differentiate themselves, increase customer engagement, and improve conversion. Unlike traditional personalization, hyper-personalization interprets customer intent based on behavioral and real-time data like browsing behavior, in-application behavior, and engagement data.

How can hyper-personalization empower marketers?
According to a report by Deloitte, 80% of customers are more likely to purchase from a company that offers personalized experiences, and well-executed hyper-personalization can deliver 8x ROI.

In this session, we share real-world examples of how brands use advanced analytics and machine learning to enable hyper-personalization seamlessly.

Key takeaways:

  • Understand the pulse of the consumer through customer sentiment analysis

  • Provide personalized recommendations based on user interests, location, etc.

  • Cross-sell and upsell campaigns to customers who are likely to convert


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