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.
Deployments
Deployments (targets in the API) are created in pipelines, and are how you choose where your predictions should go and what they should look like.
Events
Events (streams in the API) 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 (scopes in the API) 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.