AI Driven Personalization

Introduction

Before, we used to segment our audiences based on commonalities, but the categories remained fairly broad. Now, with the advent of AI, we can achieve one-to-one personalization. AI allows us to create individual profiles based on very granular data points, such as browsing behavior, purchase history, product affinities, price sensitivity, and much more. This level of detail enables us to hyper-personalize customer experiences at every touch point, from the content we provide them to the offers we present.

Keywords

• AI
• One-to-one personalization
• Segmentation
• Customer profiles
• Granular data
• Browsing behavior
• Purchase history
• Product affinities
• Price sensitivity
• Hyper-personalize

FAQ

Q: What is one-to-one personalization?
A: One-to-one personalization refers to the practice of tailoring individual customer experiences based on granular data points like browsing behavior and purchase history, as opposed to grouping customers into broader, more generalized categories.

Q: How does AI contribute to customer segmentation?
A: AI allows for the creation of detailed individual profiles based on granular data points, leading to highly personalized customer experiences.

Q: What data points are used for AI-driven personalization?
A: Data points include browsing behavior, purchase history, product affinities, and price sensitivity.

Q: What is the benefit of hyper-personalizing the customer experience?
A: Hyper-personalizing the customer experience can lead to increased customer satisfaction and potentially higher conversion rates, as the content and offers customers receive are highly relevant to their specific interests and behaviors.

Q: What traditional method of segmentation is being replaced by AI-driven personalization?
A: AI-driven personalization replaces the traditional method of broad segmentation based on commonalities, allowing for more precise and individualized customer interactions.