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 propensity predictions, enabling you to predict the likelihood of virtually any action, such as lead conversion or customer churn.
Persona sets
Persona predictions organize your cohorts into thematic groups based on trait similarities to enable personalization insights.
Pipelines
Pipelines are how you choose which predictions you want to deploy, who you want to make those predictions on, and where they should go.
Recipes
Recipes are end-to-end for popular predictions, combining a use case with its connection to create a fully-provisioned pipeline.
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.