Key abstractions

  • Cohorts

    Cohorts are groups of people that your business is interested in, such as customers and leads.

  • Connections

    Connections are how you connect your data with Faraday, whether it's in a database, warehouse, cloud bucket, or somewhere else entirely.

  • Datasets

    Datasets are how you describe your data to Faraday, accomplished through identity sets, events, and traits.

  • Events

    Events show Faraday how to recognize actions taking place in your data, such as purchases, renewals, clicks, and more.

  • Forecasts

    Coming soon, Forecasts will let you predict the value and frequency of transactions an individual will make over a certain timeframe.

  • Outcomes

    Outcomes are predictions that tell you how likely individuals are to take virtually any action, such as convert or churn.

  • Persona sets

    Persona sets are predictions that organize your cohorts into thematic groups based on trait similarities to enable personalization insights.

  • Pipelines

    Pipelines let you choose which predictions you want to deploy, who you want to make those predictions on, and where they should go.

  • Recipes

    Recipes are pre-made, end-to-end prediction formulas for popular use cases.

  • Recommenders

    Recommender predictions allow you to predict which product, service, or other offer that any individual is likely to respond best to.

  • Traits

    Traits are interesting features about individuals and/or their households, sourced from both your data and Faraday's.