How to Derive the ROI of a Customer Churn Model

Derive the ROI of your customer churn model using quantitative and non-quantitative parameters.

NOV 30th @11:00 a.m. (ET) 

Hindol Basu

GM, Voxco Intelligence

Industry expert with 20+ years of analytics consulting experience.

Evaluate the ROI of your Churn Model and take the best measures to lower attrition and boost CLV.

Customer churn is known to be one of the key causes of a reduction in financial performance across industries. Organizations that are able to devise a good churn management strategy can create a competitive advantage, produce gains in productivity, boost employee morale, and reduce costs. 

To begin devising an effective churn management strategy, it is pivotal to create a strong predictive churn model that delivers churn forecasts based on all available data sources, structured and unstructured. It is also crucial to evaluate the return on investment (ROI) of your churn model and identify the different factors that influence it. 

Join our speaker, Hindol Basu (GM, Voxco Intelligence) in our webinar on “How to Derive ROI of a Customer Churn Model” where he explores:

  1. Factors influencing the ROI of churn prediction model
  2. Methodology to derive the ROI of a churn prediction model 
  3. Non-quantitative parameters used to evaluate the churn prediction model

Get to Know Our Speaker

Hindol Basu

GM, Voxco Intelligence

Hindol Basu brings in 20+ years of analytics consulting experience spanning multiple industry verticals and markets. Hindol holds a bachelor’s in engineering from IIT Kharagpur and an MBA from IIM Bangalore. He is also an avid contributor to several analytics and machine learning publications.