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Customer Retention. Automated

Bryan Shepherd

Recent Posts

PCV Model Performance Metrics

Posted by Bryan Shepherd on Dec 5, 2017 5:01:00 PM

Overview

In Q4 of 2016 Windsor Circle released a Predicted Customer Value (PCV) module based on the "Buy Til You Die" approach. At the time, the model was vetted on a subset of historical data. Now that it has been in the field for close to a year, we have an opportunity to use current data to evaluate its real-world effectiveness. To do so, we use predictions generated using data through January 1, 2017 and evaluate how well those predictions held up over the next 6 months, through July 1, 2017.

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Related: Data Science

The Cost of Classification Error in Targeted Marketing and Coupon Optimization

Posted by Bryan Shepherd on Nov 7, 2016 4:01:07 PM

In the last post we covered some useful metrics for evaluating binary classification algorithms. In this post we’ll go into more detail on why they are important and see how ignoring them can affect ROI. We’ll use a contrived example that’s simplified, but not too far from reality.

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Related: Data Science

Gifts and Mix Tapes: Methods for Evaluating Binary Classification Algorithms

Posted by Bryan Shepherd on Sep 30, 2016 11:11:31 AM

Our rasion d’etre in the Data Science group at Windsor Circle is to make marketing smarter.

To that end, this article covers some metrics that we use internally and your organization can start using right now to improve your marketing decisions. We use these frequently at Windsor Circle because they are important for evaluating a specific class of machine learning algorithm, but they are useful well beyond their machine learning applications. So let’s get to it.

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Related: Best Practices, Data Science