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Customer Retention. Automated

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

They're Not Dead Yet | Predictive Churn in Online Retail

Posted by Gabi Huiber on Jul 27, 2016 9:00:00 AM

The Problem

The typical retailer’s relationship to her customers is that they can show up to buy something at any time, and she has no way to tell when they stop for good. Customer churn, in her world, is guessed, not observed. This is different from the case of a cell phone service provider whose customers pay their bill every month at the same date, and they call to cancel the service before they stop paying.

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Related: Data Science