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Evaluating Machine Learning Predictions: Customer Churn & CLV [RS Labs]

August 11, 2016

At Retention Science, we are committed on making machine learning and artificial intelligence more accessible and understandable. This blog introduces our process of evaluating the accuracy of two crucial predictive models, Customer Churn Prediction and Customer Future Value (CFV). These two predictions provide invaluable insights on how to keep customers engaged. Our evaluation framework purpose […] Read More

Retention metrics explained: Welcome Purchase Probability, Pt. 2 [RS Labs]

November 12, 2015

62% of customers churn immediately after signup, which means once these customers go through the registration process they will not make a purchase. The data science team at Retention Science uses Welcome Purchase Probability to help sort out the good customers from the bad so marketers… Read More

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Retention metrics explained: Welcome Purchase Probability, Pt. 1 [RS Labs]

November 10, 2015

As the saying goes, you don't get a second chance to make a first impression. This is true for customers too, and it can have a big impact on a business. At Retention Science, we address this problem by predicting, after a customer first signs up, whether he or she will actually turn… Read More

Retention metrics explained: Customer Future Value Pt. 2 [RS Labs]

October 15, 2015

In the 'Retention Metrics Explained' series, our data science team goes into detail about the metrics and methods that are essential for data-driven retention marketing. Customer Future Value is one of the predictive metrics… Read More

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