Churn Prevention Using Contact Center Data
Date: Tuesday, June 9, 2026
Time: 10:00 AM PT / 1:00 PM EST
Register here
Session Overview
Churn prevention in contact centers relies on transforming raw interaction data into proactive retention strategies. By analyzing inputs such as call transcriptions, sentiment scores, and interaction frequency, AI models can identify at-risk customers weeks before a cancellation request is made.
What You’ll Learn
- How to transform raw contact center interaction data into actionable insights
- Leveraging call transcriptions and sentiment scores for churn prediction
- Using interaction frequency analysis to identify at-risk customers
- Building proactive retention strategies with AI models
- Identifying cancellation signals weeks before they happen
The Amazon Quick Learning Series is a weekly webinar series where Quick users will learn about product functionalities, generative BI, new feature launches, best practices and how-to tips to improve their user experience and gain technical knowledge from Quick Product Managers and Solution Architects.