Churn scores in Cloud SQL (Postgres)
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 Google Cloud SQL (Postgres), 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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Use Faraday for churn scores in Google Cloud SQL (Postgres) and you’ll get . . .
no messing with code, models, or algorithms. Just point and click.
rich, responsibly-sourced profiles of 300 million U.S. consumers.
deploy your predictions throughout your stack.
do AI right with industry-leading record-keeping and bias controls.
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