All posts

AI agents need consumer context to personalize, but most website visitors are anonymous. Pixel providers resolve anonymous traffic to known identities -- and Faraday enriches those identities with 1,500+ attributes and predictive scores so agents can deliver real-time, personalized experiences.

Seamus Abshere

on Mar 4, 2026

Faraday has replaced traditional persona clustering with a dynamic scaling model that automatically adjusts the number of personas based on audience size, ensuring marketing segments are always granular enough to be actionable without becoming overly complex.

Andrew Becker & 

Ben Rose

on Feb 27, 2026

Faraday’s managed Meta connection automatically syncs predictive audiences—handling hashing and delivery—so you can skip manual uploads and keep targeting fresh and secure.

Ana Tapsieva & 

Ben Rose

on Feb 13, 2026

AI models are powerful, but without consumer data to provide real-world context, they can’t make relevant, high-value marketing decisions.

Andy Rossmeissl

on Feb 9, 2026

To maximize the value of your lead scoring, you must target the funnel stage that directly produces revenue (e.g., "Closed Won"), not intermediate steps like appointments. Targeting revenue ensures you predict actual buying power, whereas appointments often just capture curiosity or immediate need.

Andy Rossmeissl

on Feb 4, 2026

Hazel is an agentic marketing platform that helps omnichannel and DTC brands make better retention and AOV decisions by triangulating first-party data, business fundamentals, and third-party consumer context. By streaming real-time consumer data from Faraday’s API, Hazel bypassed six-figure broker fees and months of engineering work, shipping a production-ready offering in weeks.

Robbie Adler

on Jan 20, 2026

A practical look at how to use Faraday’s "Persona Flow" feature to quantify customer changes, calculate year-over-year growth, and identify where your market is expanding.

Nick Haggerty

on Jan 14, 2026

Faraday turns your first-party customer records into privacy-safe, identity-resolved profiles, trains and validates machine-learning models on the enriched data, and then deploys transparent propensity scores (with explainability) that predict who’s most likely to do what next.

Nick Haggerty & 

Zach Fu

on Jan 12, 2026

Learn how to prioritize leads using ICP definition, multi-signal scoring, real-time intent, automation, and top vendor comparisons for B2C and B2B.

Ben Rose

on Jan 2, 2026