AI-Powered Customer Segmentation

About this Video

• Video Title: AI-Powered Customer Segmentation
• Channel: Gooru Content
• Speakers: (Not specified in the transcript)
• Duration: 00:04:16

Introduction

This video explains how AI can be used for customer segmentation to increase profits. It contrasts traditional demographic-based segmentation with AI's ability to analyze customer behavior, sentiment, and predicted lifetime value (LTV) for more effective targeting. The video outlines a four-step process using AI for customer segmentation.

Key Takeaways

• Traditional segmentation is limited: Relying on basic demographics often misses crucial insights.
• AI offers a holistic approach: AI analyzes customer behavior, sentiment, and predicted lifetime value (LTV) to identify hidden, high-value segments.
• Four-step AI-powered segmentation process:
  1. Discover hidden segments: Analyze data to identify unexpected customer clusters based on behavior, triggers, and LTV.
  2. Predict high-LTV groups: Use AI modeling to score customers based on various factors and identify high-value segments for VIP treatment.
  3. Build lookalike audiences: Expand reach by targeting new customers who resemble profitable segments using platforms like Facebook Ads Manager.
  4. Automate segment updates: Use CRM/CDP triggers to automatically update segments based on real-time customer actions.
• Combining data types and real-time action crucial: AI segmentation is most effective when combining various data types and adapting to changing customer behavior in real-time.