Relevance in direct mail starts with the list: four ways to improve yoursRelevance in direct mail starts with the list, not the creative. Faraday's COO on four features that add the right households and remove the wrong ones.Robin Spenceron Sep 11, 2026
Enhancing commerce agents with consumer dataAnthropic's commerce agents blueprint gives a store a shopping agent and a merchant agent in days. It leaves the customer profile to you. Here is how to fill it with consumer attributes, personas, recommendations, and propensity, with a test to prove it helped.Seamus Abshereon Sep 8, 2026
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 Roseon Sep 8, 2026
Introducing Faraday Pro: get the consumer data you need, seamlesslyFaraday 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 Rossmeisslon Aug 13, 2026
What Faraday's MCP server is — and what your AI agent can actually do with itFaraday'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 Roseon Jul 27, 2026
Can an LLM replace your consumer data? We built an open-source clean room and ran the testWe 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 Mustyon Jul 1, 2026
Context is all you need: Data in the age of AIAI 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 Rossmeisslon Jun 30, 2026
The Faraday Identity Graph: 1,400+ data points on 240MM US consumersThe 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 Rossmeisslon Jun 29, 2026
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 Roseon Jun 28, 2026
