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
    • GCS
    • Google Ads
    • HubSpot
    • Iterable
    • Klaviyo
    • LinkedIn
    • Liveramp
    • MySQL
    • Pinterest
    • Poplar
    • Postgres
    • RDS
    • Redshift
    • S3
    • Salesforce
    • Segment
    • Snowflake
    • SQL Server
    • Taboola
    • Youtube
    Explore all prediction recipes→

    Learn more

    • Product documentation

      In-depth guides for every use case

    • 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

  • 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
    • GCS
    • Google Ads
    • Google Cloud SQL (MySQL)
    • Google Cloud SQL (Postgres)
    • Google Cloud SQL (SQL Server)
    • HubSpot
    • Iterable
    • Klaviyo
    • LinkedIn
    • Liveramp
    • MySQL
    • Pinterest
    • Poplar
    • Postgres
    • RDS (MySQL)
    • RDS (Postgres)
    • RDS (SQL Server)
    • Redshift
    • Redshift Serverless
    • S3
    • Salesforce
    • Segment
    • Snowflake
    • SQL Server
    • Taboola
    • Youtube
  1. Recipes/
  2. Lead scores predictions

Lead scores predictions

Leverage AI to predict which leads are most likely to convert. No more time wasted on leads that were never going to convert in the first place, ensuring your team stays focused to drive revenue on leads that matter.

All Lead scores recipes

  • Lead scores in Aurora (MySQL)

    Try recipe →

  • Lead scores in AWS Aurora Postgres

    Try recipe →

  • Lead scores in RDS (MySQL)

    Try recipe →

  • Lead scores in RDS (Postgres)

    Try recipe →

  • Lead scores in RDS (SQL Server)

    Try recipe →

  • Lead scores in Redshift Serverless

    Try recipe →

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