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Nearest Location: which store should you send your customers and prospects to?
Most brands route customers to a location by zip code. Nearest Location replaces that with the real distance from every person to every location you have. Here's what it does and what you can build with it.
Robin Spencer &
Ben Rose
on Sep 8, 2026
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Introducing Faraday Pro: get the consumer data you need, seamlessly
Faraday Pro is a new way to buy context from Faraday — pick the data points you want, pay for what matches, and start today with nothing but a credit card. It's the same data our enterprise clients build on.
Andy Rossmeissl
on Aug 13, 2026
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What Faraday's MCP server is — and what your AI agent can actually do with it
Faraday's MCP server connects any AI agent — Claude, ChatGPT, Cursor — directly to your Faraday account so your agent can independently read your real numbers, change how your models work, and manage every account you touch, all through your existing conversational LLM interface.
Robin Spencer &
Ben Rose
on Jul 27, 2026
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Can an LLM replace your consumer data? We built an open-source clean room and ran the test
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
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Context is all you need: Data in the age of AI
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
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The Faraday Identity Graph: 1,400+ data points on 240MM US consumers
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
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What data do you need for marketing — and what kind actually moves the needle?
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
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Personalization tactics that actually drive conversions: a practical playbook
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
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How predictive lead scoring works — and why it outperforms traditional methods
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
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What are propensity models: a complete guide for consumer brands
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
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