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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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  1. Recipes/
  2. Persona assignments predictions

Persona assignments predictions

Leverage AI to predict personas in any group of individuals your business is interested in. Customers, leads, your best customers, you name it. Faraday's AI-generated personas are built on both your data and Faraday's hundreds of responsibly-sourced, cookieless traits to provide the tools you need to speak your customers' language—past, present, and future.

All Persona assignments recipes

  • Persona assignments in Aurora (MySQL)

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  • Persona assignments in AWS Aurora Postgres

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  • Persona assignments in RDS (MySQL)

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  • Persona assignments in RDS (Postgres)

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  • Persona assignments in RDS (SQL Server)

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  • Persona assignments in Redshift Serverless

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