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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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Churned customers

Faraday can connect to data about your churned customers from many sources. Choose yours below. If you don’t see your system listed, choose the “from CSV” option.

  • Churned customers from Azure SQL
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  • Churned customers from Iterable
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  • Churned customers from Segment
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  • Churned customers from Snowflake
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