June 25, 2019
1PM CDT // 11 AM PDT

Customer 360 using Graph and ML
June 25, 2019 - 1 PM CDT // 11 AM PDT

Learn how Graph & Machine Learning Technology will increase customer loyalty, identify and resolve customer issues and provide strategic up-selling capabilities. Expero will demonstrate how visualizing customer journeys can provide your users with meaningful interactions and increase overall customer satisfaction. Join us to learn how to maximize resources with Graph and finally get an all encompassing view of your customer.

Cut Costs & Prevent Churn with Graph Technology & ML Analytics

Copyright © 2019 Expero - All rights reserved.

Customer 360 using Graph and ML
June 25, 2019 - 1 PM CDT // 11 AM PDT

Learn how Graph & Machine Learning Technology will increase customer loyalty, identify and resolve customer issues and provide strategic up-selling capabilities. Expero will demonstrate how visualizing customer journeys can provide your users with meaningful interactions and increase overall customer satisfaction. Join us to learn how to maximize resources with Graph and finally get an all encompassing view of your customer.

Cut Costs & Prevent Churn with Graph Technology & ML Analytics

What You Will Learn

  • Technology - Discuss how to quickly integrate Graph & Machine learning into your existing technology platform stack.
  • Customer Acquisition - How to use graph to target, segment and recommend.
  • Retention - Identify, score and intervene with customer journeys to better understand and predict behavior.
  • Growth & Loyalty - Target and personalize up-sell and cross-sell opportunities to maximize “Best Next Conversation” with customers.
  • Churn & Sentiment - Utilize sentiment analysis with Machine Learning & Graph to identify and mitigate churn.
  • Personalization - Optimize by customers, products, & relationships.
  • Analytics & Predictive - Pattern matching, ML algorithms, ‘treasure mapping’ for correlations of historic data, and recommendations with Graph & Machine Learning.

What You Will Learn

  • Technology - Discuss how to quickly integrate Graph & Machine learning into your existing technology platform stack.
  • Customer Acquisition - How to use graph to target, segment and recommend.
  • Retention - Identify, score and intervene with customer journeys to better understand and predict behavior.
  • Growth & Loyalty - Target and personalize up-sell and cross-sell opportunities to maximize “Best Next Conversation” with customers.
  • Churn & Sentiment - Utilize sentiment analysis with Machine Learning & Graph to identify and mitigate churn.
  • Personalization - Optimize by customers, products, & relationships.
  • Analytics & Predictive - Pattern matching, ML algorithms, ‘treasure mapping’ for correlations of historic data, and recommendations with Graph & Machine Learning.

Customer 360 & Churn Prevention

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Presented By: 

Brian Hall, Expero