Primary navigation

  • Faraday prediction platform

    No-code AI for growth, embedded in your stack

    • How Faraday works

      Learn the basics

    • Security & privacy

      We’ve got you covered

    • Responsible AI

      Balance power with fairness

    • Product documentation

      In-depth guides for every use case

    Platform features

    Everything you need to make your growth stack predictive

    • Powerful predictions

      Propensity, persona, and forecasted spend

    • Integrations

      Connected to 100s of popular tools

    • Built-in consumer data

      Rich profiles of 300 million adults

    • Developer API

      Predict programmatically

    All product features→
  • Roles

    Faraday for . . .

    • Customer acquisition
    • Data & analytics
    • Dev & engineering
    • Engagement & retention
    • Lead management
    • Marketing & growth

    Popular prediction recipes

    By use case

    • Churn scores
    • High spenders
    • Lead scores
    • Likely buyers
    • Persona assignments
    • Repeat purchasers

    By destination

    • Aurora
    • Azure SQL
    • BigQuery
    • Cloud SQL
    • CSV
    • Facebook Custom Audiences
    • GCS
    • Google Ads
    • HubSpot
    • Iterable
    • Klaviyo
    • LinkedIn Ads
    • Lookup API
    • MySQL
    • Pinterest Ads
    • Poplar
    • Postgres
    • RDS
    • Recharge
    • Redshift
    • S3
    • Salesforce
    • Salesforce Marketing Cloud
    • Segment
    • SFTP
    • Shopify
    • Snowflake
    • SQL Server
    • Stripe
    • The Trade Desk
    • TikTok
    Explore all prediction recipes→

    Learn more

    • Product documentation

      In-depth guides for every use case

    • Faraday Academy

      Become a prediction pro in no time

    • Customer stories

      Learn from the best

    • Our blog

      Case studies, tips & tricks, and more

    Talk to sales→
  • Predictions for developers

    Fast, secure automated AI that just works

    • Reference documentation

      Faraday’s comprehensive API

    • Product documentation

      How to use Faraday's web app, driven by our API

    • Developer chat

      Get help directly from Faraday engineers

    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] },
    });

Secondary navigation

  • Search
  • Talk to sales
  • Log in
  • Sign up free
Recipes
  • Categories

    • Churn scores
    • High spenders
    • Lead scores
    • Likely buyers
    • Persona assignments
    • Repeat purchasers
  • Popular destinations

    • Aurora (MySQL)
    • AWS Aurora Postgres
    • Azure SQL
    • BigQuery
    • CSV
    • Facebook Custom Audiences
    • GCS
    • Google Ads
    • Google Cloud SQL (MySQL)
    • Google Cloud SQL (Postgres)
    • Google Cloud SQL (SQL Server)
    • HubSpot
    • Iterable
    • Klaviyo
    • LinkedIn Ads
    • Lookup API
    • MySQL
    • Pinterest Ads
    • Poplar
    • Postgres
    • RDS (MySQL)
    • RDS (Postgres)
    • RDS (SQL Server)
    • Recharge
    • Redshift
    • Redshift Serverless
    • S3
    • Salesforce
    • Salesforce Marketing Cloud
    • Segment
    • SFTP
    • Shopify
    • Snowflake
    • SQL Server
    • Stripe
    • The Trade Desk
    • TikTok
  1. Recipes/
  2. Likely buyers predictions

Likely buyers predictions

Leverage AI to predict likely buyers, enabling you to effortlessly scale acquisition efforts. Take your best customers as your base, and Faraday will predict the most likely buyers across the entire U.S. population, filtering out the bad fits so that your time is never wasted, and your team is left working smarter and faster.

All Likely buyers recipes

  • Likely buyers in Aurora (MySQL)

    Try recipe →

  • Likely buyers in AWS Aurora Postgres

    Try recipe →

  • Likely buyers in RDS (MySQL)

    Try recipe →

  • Likely buyers in RDS (Postgres)

    Try recipe →

  • Likely buyers in RDS (SQL Server)

    Try recipe →

  • Likely buyers in Redshift Serverless

    Try recipe →

  • LinkedIn
  • Twitter
  • Youtube
  • Get help
  • Developers
  • Changelog
  • © 2023 Faraday, Inc.
  • TermsPrivacy policyDo not sell my info