Predicting Customer Churn Webinar

Recorded October 2017

In today's competitive market, maintaining a high customer retention rate is critical to success. Understanding when a customer may be at risk to break ties with your organization could help you take a more targeted approach to relationship management, effectively plan for future financial impact, and even prevent the loss of customers in the first place.

Using the right tools, it is possible to proactively plan for customer churn by analyzing historical data from previous and existing clients. In the webinar recording above, we demonstrate the value of customer churn prediction as well as discuss how to accurately predict which customers are likely to turn over.

Additionally, we explore how data sets can be enriched to identify root causes of churn so that campaigns and conversations can be created to not only prevent churn, but also to potentially re-acquire dissatisfied customers.

For more information on Customer Churn and how BlueGranite can help, check out our Customer Churn solution offering!

PRESENTERS

Colby Ford
Data Scientist

Coming from a background in mathematics, statistics, and bioinformatics, Colby combines this expertise to bring Data Science to everyone. He utilizes R and Python and puts Machine Learning to work to gain insight from data. Outside of BlueGranite, Colby is an avid pianist and genomics researcher. Check out Colby’s website at www.colbyford.com.

Barrie Pike
Consultant

Barrie Pike is an accomplished executive with over 25 years’

experience in the technology industry specializing in building solutions and applications for consumer goods, retailers, and manufacturers. He is data driven with a deep focus on driving analytics into all aspects of the retail supply and demand chain. Currently, Barrie works as a consultant helping organizations transform their technical and business experience into rapidly deployable and repeatable solutions.