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Conference Presentation

Creating Predictive Customer Health Score

This report is for Customer Success members only

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Customer Health Scores are a superset metric that have become a must have practice. There are three primary use cases for these predictive analytics models including predicting retention, expansion, and if the customer is going to be successful with your technology and services. Customer Success organizations struggle with identifying the right data elements, and creating predictive alignment to one or more of their intended use cases. Join Phil Nanus, VP of Research Customer Success at TSIA, and Jeremy DalleTezze, VP Analytics at TSIA to collaborate on effective strategies for creating predictive Customer Health Scores.
 
Working sessions on a specific business challenge. Attendees will be broken up into smaller teams to brainstorm on the challenge, which will then be shared with the entire group. To ensure the best collaborative experience, space is limited. You must sign up in advance and watch pre-recorded content to prepare for the session.
 
 
Tracks: Business Challenge Accelerator, Customer Success

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Publish Date: December 10, 2020

TSIA is well worth the investment. This is the one place where you can come and get a fusion of ideas that you can then marry up to the goals and objectives of your organization and boil that down into several actionable plans that you can implement over the next 6 months to a year.

Peg Rodarmel, SVP, Subscription Services, Infor

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