How does Faraday differ from a Customer Data Platform (CDP)?
While CDPs unify customer data, Faraday builds on this foundation by focusing specifically on AI-driven predictive modelling. It uses the unified data to forecast future customer behaviours and busine
What kind of data does Faraday use for its predictions?
Faraday ingests both first-party customer data (e.g., transaction history, website behaviour) and third-party enrichment data. It allows organisations to control the blend of these data sources to bui
Is Faraday suitable for B2B organisations?
Faraday is primarily designed for B2C organisations, particularly those in industries like retail, insurance, or real estate, where understanding individual consumer behaviour and residence-level data
How transparent are Faraday's AI models?
Faraday prioritises model transparency. It provides lift tables, feature importance reporting, and an outcome performance dashboard to help users understand how predictions are made and the business i
What is the typical implementation timeline for Faraday?
As a cloud-SaaS platform, Faraday's implementation can be relatively quick, depending on the complexity of data integration. The platform is designed to automate data pipeline setup, allowing organisa
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