Applying Deep Learning to Churn Prediction.
December 10, 2014
Wise Athena has become the first company to apply deep learning to customer churn prediction. Churn, defined as the loss of customers to competitors, is currently one of the most pressing challenges for companies. Only the Telecommunications sector is estimated to lose $10 billion per year due to customer churn. Being able to predict churn in advance has become a highly valuable insight to retain and increase a company`s customer base. Deep learning is a machine learning method capable of automatically extracting patterns across large datasets. This technology allows for the recognition of features it was never trained on before. It has been applied to complex data abstractions, like speech recognition or computer vision, successfully. Wise Athena has applied deep learning to large scale real-life customer datasets. This proved that this technology can lead to significant increases in churn prediction accuracy, while reducing the substantial costs associated with traditional feature-engineering methods. Find out more in the research paper on the following the download link.
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Applying Deep Learning to Churn Prediction.