Churn scores in MySQL
The most effective way to predict likelihood to churn is with machine learning. With machine learning, you can constantly keep your list of customers up-to-date with churn scores based on the historical data of similar shoppers, and plug your likely-to-churn customers right back into your stack, no PhD required. With churn scores in your stack, you're primed to jump in, offer a discount, a helping hand, or some other offer to keep them on board.
Faraday makes predicting churn scores for your customers intuitive & easy, and delivering them to any channel in your stack a breeze.
With churn score predictions in MySQL, you’ll give your team valuable insight to intervene before the customer makes that critical decision, exactly where and when they need it.
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Reebok and Walmart-Mattel pair with Faraday and Lob to share how they use data to drive retention.
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Use Faraday for churn scores in MySQL and you’ll get . . .
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rich, responsibly-sourced profiles of 300 million U.S. consumers.
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