Case study: Preventing customer churn for telecom

To reduce customer churn, it’s not enough to react to problems after the fact; organizations need to understand the customer’s experience, and anticipate needs ahead of time to shape that experience in the most positive way possible. But this is particularly difficult for telecom companies, which offer a wide range of services to an even wider variety of customers.

NLP software like SparkCognition’s DeepNLP product enables machine learning models to take full advantage of the wealth of customer data available to proactively address the main contributors to churn, preventing it on a per-customer basis with targeted advertising and custom offers. Learn more about how NLP works by reading the full customer success story.

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