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    Predict customer behavior in a few lines of code

    @fdy/faraday-js
    const configuration = new Configuration({
      headers: { authorization: "Bearer YOUR_API_KEY" },
    });
    const faraday = new FaradayClient(configuration);
    // upload orders, identify customers
    await faraday.uploads.createUpload("orders", "orders.csv", file);
    const cohort = await faraday.cohorts.createCohort({
      name: "Customers",
      stream_name: "orders",
    });
    // segmentation for personalization
    const personaSet = await faraday.personaSets.createPersonaSet({
      name: "Customers",
      cohort_id: cohort.id,
    });
    // activation pipeline
    const scope = await faraday.scopes.createScope({
      name: "Customers Scores",
      preview: true,
      population: { cohort_ids: [cohort.id] },
      payload: { persona_set_ids: [personaSet.id] },
    });

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  • How Marley Spoon predicted churn 5X better with machine learning
    • Customer stories
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    • Churn predictions

    How Marley Spoon predicted churn 5X better with machine learning

    Learn how the meal delivery subscription brand was able to identify likely churners 5X better with machine learning predictions.

    September 18, 2017 · Faraday

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