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Faraday Identity Graph

Unlocking the power of the Faraday Identity Graph (FIG)

The Faraday Identity Graph (FIG) is a massive, meticulously curated dataset of 1,500 attributes covering virtually all U.S. adults, enabling businesses to enhance their models, streamline data sourcing, and make smarter decisions with ease.

Ben Rose
Robin Spencer
Ben Rose & 
Robin Spencer
on

This post is part of a series called Faraday Identity Graph that helps Faraday users understand how FIG works, and how they can use it to generate value for their business

In the world of predictive analytics, data is everything. The more accurate, comprehensive, and up-to-date your data is, the better your models perform. That’s where the Faraday Identity Graph (FIG) comes in—a massive, carefully curated dataset designed to help businesses make smarter decisions with ease.

What is the Faraday Identity Graph?

The Faraday Identity Graph is a powerful combination of multiple data sources, meticulously cleansed, de-duplicated, and feature-engineered to create one comprehensive dataset. It consists of 1,500 datapoints covering virtually all U.S. adult consumers and their households, offering a deep well of insights into demographic trends, property ownership, life events, financial indicators, and more.

And what’s even better is that it comes built-in with our services.

So where does the data come from?

We partner with best-in-breed data providers like Epsilon to compile a rich dataset that encompasses:

  • Demographic information (age, education, income, etc.)
  • Property details (homeownership, property value, etc.)
  • Life events (moving, marriage, new child, etc.)
  • Financial indicators (credit attributes, equity, etc.)
  • Buying patterns (how they spend across dozens of categories)
  • Shopping behavior (e.g. in-store vs online)

By combining multiple premium data sources, we eliminate the need for businesses to juggle multiple vendors—saving them time, effort, and money.

How frequently is the data updated?

The Faraday Identity Graph is updated regularly throughout the year as we receive new data from our vendors. The frequency of updates varies based on data type, but customers can rest assured that the data contained in our graph is as up to date and relevant as possible to ensure the most accurate and useful predictive datapoints.

Can I buy the data directly?

Yes! We offer direct data licensing, allowing businesses to purchase cleansed, consolidated, and competitively priced data. If you're looking for a variety of data sources, without the hassle of amalgamation and the time and expense of working with a range of vendors, we should talk—it’s likely we can save you all that time and money by bundling everything you need into one seamless package, and since we already made that package, you could be accessing that data tomorrow!

How can businesses use this data?

Our clients use the Faraday Identity Graph in a variety of ways but here are two core use cases:

  • Data appends: Businesses can purchase specific datapoints to enhance their own internal models and processes.
  • Predictive datapoints: We can combine our data with your first-party data to generate powerful datapoints that answer key questions, such as:

Whether you're looking for raw data or full-service predictive modeling, Faraday makes it easy to harness the power of data-driven decision-making.

The Faraday advantage

What makes this data even more valuable is access to our team of forward-deployed data science experts. Our team works alongside you to ensure that you are accessing not just the highest quality data, but the right data for your specific needs. With the addition of this service, whether you’re just looking for raw data or full-service predictive support, Faraday gives you everything you need to unlock smarter decisions.

Additionally, Faraday delivers a broad suite of other services like real-time scoring, giving you instant access to dynamic, data-driven insights that enable rapid decision-making and model explainability, ensuring you can trace every prediction back to its data-driven roots—this transparency enhances model trust and guides smarter adjustments.

What's more, with immediate access to this rich data from day one, you can avoid the cold start problem, quickly deploying predictive models without sacrificing accuracy. Lastly, Faraday’s flexible API integration allows you to seamlessly incorporate our data into your existing systems, providing a scalable solution that evolves alongside your needs and analytics workflows.

Questions?

Sounds pretty great right? We think so too. If you want to learn more, reach out to talk to our sales reps or even our data team to learn how Faraday’s data can push your business to the next level!

Ben Rose

Ben Rose

Ben Rose is a Growth Specialist at Faraday, where he focuses on turning the company’s work with data and consumer behavior into clear stories and the systems that support them at scale. With a diverse background ranging from Theatrical and Architectural design to Art Direction, Ben brings a unique "design-thinking" approach to growth marketing. When he isn’t optimizing workflows or writing content, he’s likely composing electronic music or hiking in the back country.

Robin Spencer

Robin Spencer

Robin Spencer is Faraday’s COO, leading all of our client-facing teams—from sales to customer success. Her mission is simple: help consumer businesses uncover where data can meaningfully improve (and profitably accelerate) the customer journey. Robin brings experience from Accenture, Google, and Clearbit (acquired by HubSpot), where she focused on using data to drive real, measurable business outcomes. When she’s not geeking out about data and operational strategy, you’ll find her tending her cut-flower garden, knee-deep in a creative project, or wandering in the woods nearby.

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