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We ran a controlled, security-isolated head-to-head between Faraday and Anthropic's Claude (Opus 4.8) on the same real customer file. Given public census and Social Security birth databases, the model wrote its own statistical estimator—and still matched us on gender for pennies while missing age by more than a decade. Here's exactly how we set it up, what we measured, and where the line between "guessable" and "knowable" falls.

Dr. Mike Musty

on Jul 1, 2026

AI models without consumer context are just guessing at scale. Learn how the Faraday Identity Graph closes the context gap and fuels high-performing AI agents with real-time predictive data.

Andy Rossmeissl

on Jun 30, 2026

The Faraday Identity Graph (FIG) contains 1,400+ verified data points covering 240 million U.S. adults and their household — including full historical timelines most consumer datasets don't offer. Here's what's in it, how it's built, and what it unlocks.

Robin Spencer & 

Andy Rossmeissl

on Jun 29, 2026

A complete guide to the three types of consumer data that power smarter marketing decisions — identity completion, consumer profile enrichment, and custom predictive data — and how they work together to close the context gap.

Robin Spencer & 

Ben Rose

on Jun 28, 2026

Using AI personalization, John Hardy drove +17% YoY demand and a 20-point conversion lift by personalizing offers based on who customers actually are — not just what they bought. This is a practical guide to the personalization tactics that move the needle, grounded in real consumer context.

Robin Spencer & 

Ben Rose

on Jun 27, 2026

Using lead scoring, American Standard went from a 5.56% contact rate to 20% — and high-score leads converted at 3x the rate of others. This is a practical guide to how predictive lead scoring works and how B2C teams use it to optimize their entire sales motion.

Robin Spencer & 

Ben Rose

on Jun 26, 2026

Using propensity modeling, Momentum Solar cut outbound calls by 33% and hit the same appointment goal. This is a complete guide to how propensity models work and how consumer brands use them across the full customer lifecycle.

Robin Spencer & 

Ben Rose

on Jun 25, 2026

A complete guide to AI customer personas — what they are, how Faraday builds them using k-means clustering and the Faraday Identity Graph, and how consumer brands use them to personalize at scale, uncover high-value segments, and drive measurable results.

Robin Spencer & 

Ben Rose

on Jun 24, 2026

Using churn prediction, a leading subscription box brand achieved a 5% lift in revenue per customer, a 3% reduction in churn, and 5x monthly ROI — by replacing manual rules with machine learning. This is a complete guide to how consumer brands predict and prevent churn using AI and consumer data.

Robin Spencer

on Jun 23, 2026