Reduce Churn using Predictive Models that are Powered by Your CDP
Customer Data in Action: Learn how to use predictive modeling to reduce churn.
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Predictive modeling is a powerful tool that lets you leverage customer data and machine learning to anticipate your customer’s needs. Armed with this information, customer champions can nurture closer relationships with their customers. Follow these steps to set up your own predictive model that scores customers on their likelihood to churn and then shares those scores with a customer service representative via Slack.
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Link to Video: • Reduce Churn using Predictive Models ...
Link to Customer Data in Action playlist: • Customer Data In Action
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Drive Business Value With Connected Customer Experiences. The bar for customer experience is set very high. Companies have a fundamental need to better understand their customers’ buying journeys and to have a complete view of their customers to more effectively personalize communications. Treasure Data was built to radically simplify customer data management and help brands use all of their customer data to improve campaign performance, achieve operational efficiency, and drive business value with connected customer experiences. Customer Data Cloud, our award-winning suite of customer data platform solutions, integrates customer data, connects identities in unified customer profiles, applies privacy, and makes insights and predictions available for Marketing, Service, Sales, and Operations to drive personalized engagement and improve customer acquisition, sales, and retention. The flexible, scalable, and secure platform has a comprehensive connector network that evolves with your existing technology stack to future-proof all customer data initiatives.
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