High spenders in Postgres
The most effective way to predict high-spend customers is with machine learning. With machine learning, you can constantly keep your lists of leads and prospects up-to-date with high-spend predictions based on the historical data of similar shoppers, and plug your high spenders right back into your stack, no PhD required. With your high spenders in your stack, you're ready to kick off a campaign to drive them to conversion.
Faraday makes predicting your high spenders intuitive & easy, and delivering them to any channel in your stack a breeze.
With high spend score predictions in Postgres, you'll give your team the ability to target not just those likely to become customers, but those most likely to spend big.
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“Faraday has been a huge unlock for us in finding really high quality customers on channels that have removed a lot of their detailed targeting options, and allowed us to efficiently scale in Facebook.”
Advia was able to better understand its members’ needs and more intelligently segment both their email and direct mail audiences.
Use Faraday for high spenders in 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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