Repeat purchasers in Postgres

The most effective way to predict likelihood to buy again is with machine learning. With machine learning, you can ingest your customer lists, predict their likelihood to buy again based on the historical data of similar shoppers, and plug your highest-scoring customers right back into your stack, no PhD required. With your repeat purchasers in your stack, you're ready to kick off a campaign to bring them closer to their next purchase.

Faraday makes predicting repeat purchasers among your customers intuitive & easy, and delivering them to any channel in your stack a breeze.

With repeat purchaser predictions in Postgres, you'll give your team the ability to focus on the customers that are most likely to come back for more.

Try this recipe
or read the documentation
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Faraday + Postgres

Sync data from your stack
Use repeat_purchasers propensity
Predict for customers
Deploy to Postgres

Identify repeat buyers with AI. Learn how from some of the best.

See how practical, powerful AI gives brands everywhere the boost they need to beat their goals.

advia

Advia was able to better understand its members’ needs and more intelligently segment both their email and direct mail audiences.

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iterable

Iterable interviews Faraday's CEO to unlock the secrets to automated personalization using consumer data and AI responsibly.

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Use Faraday for repeat purchasers in Postgres and you’ll get . . .

  • Turnkey AI

    —

    no messing with code, models, or algorithms. Just point and click.

  • Built-in data

    —

    rich, responsibly-sourced profiles of 300 million U.S. consumers.

  • Deep integration

    —

    deploy your predictions throughout your stack.

  • Responsible AI

    —

    do AI right with industry-leading record-keeping and bias controls.

Let’s get predictive

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