How to get started with consumer data enrichment — in minutes, not months
With Faraday, you can enrich your existing records with 1,400+ consumer data points from the Faraday Identity Graph — seamlessly, into your existing tech stack. Upload a CSV or connect via API and get enriched records back immediately. No contracts, no sales calls, pay only for matches.



Getting consumer context on your customers used to mean six-figure data licensing fees, months of contracting, and a data science team to make any of it usable. Faraday has already simplified that process with flexible contracts and usage-based pricing — but buy.faraday.ai takes it a step further.
We’ve launched this new, fully self-serve platform to enrich your existing customer records with data from the Faraday Identity Graph (FIG), which contains 1,400+ data points on 240M US consumers and their households — no contract, no sales call, no setup. You pick the attributes you want, send us identifiers you already have, and get enriched records back.
How to enrich customer data with Faraday in 3 steps
The process is straightforward:
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Sign up at buy.faraday.ai and create a project by selecting the consumer data points you want — financial signals, life stage, household composition, homeownership, lifestyle indicators, and more. You can browse the full data catalog to see exactly what's available.
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Send us your records. Upload a CSV of your customers or leads (with identity fields like name, email, and address), or connect via the API or MCP.
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Get enriched data back. We match your records against FIG and return the data points you selected — appended to your existing file or delivered via API response. You see the match count and total cost before you download. Only matched records are billed.
And that's it. Suddenly you have the exact customer records you need, flowing seamlessly into your existing systems.
Top use cases for consumer data enrichment
Even basic enrichment unlocks use cases that would have been impossible with first-party data alone.
Fill the gaps in your CRM. A record with a name and email becomes a complete consumer profile — financial health, household size, life stage, homeownership status, and more. That context makes every downstream decision better, from segmentation to personalization to campaign targeting.
Segment without surveys. Instead of waiting for single-digit response rates on customer surveys, you can segment your entire customer base by age, income, household composition, and lifestyle — instantly, across every record, without asking anyone to fill out a form.
Personalize based on who people actually are. When your messaging can reference a customer's actual life situation rather than just their last purchase, the relevance gap closes fast. Life stage, household makeup, and financial signals are what turn a generic email into one that actually resonates.
Provision AI and agentic workflows. Enriched consumer context delivered via API or MCP means your AI agents know who they're talking to from the first interaction — not just a session ID, but a real consumer profile. And when you're ready to build propensity models or Personas, those same enriched records become your training data — more signal in means more accurate predictions out.
Enrich in real time. CSV uploads work for batch enrichment, but the Lookup API and MCP let you enrich a single record the moment it arrives — a lead submits a form and your system has their full consumer profile before anyone picks up the phone.
Solve the cold start problem. New leads and customers arrive as complete unknowns in your CRM. Enrichment gives you context on them from the very first interaction — before they've clicked, bought, or engaged with anything.
How much does Faraday data enrichment cost?
Pricing is $0.05 per matched data point — the same whether you're uploading a CSV or hitting the API. You only pay for records that actually match against FIG, and you always see the match count and total before you're billed. No contracts, no minimums, no negotiation. Here's how that compares to traditional data brokers:
| Feature | buy.faraday.ai (Self-Serve) | Traditional Data Brokers |
|---|---|---|
| Upfront Fees | $0 (No contracts or minimums) | Six-figure upfront commitments |
| Pricing Model | $0.05 per matched data point | Flat-rate data licensing fees |
| Setup Time | Minutes (Self-serve CSV / API / MCP) | Months of contracting & IT setup |
| Data Access | 1,400+ attributes via Faraday Identity Graph | Raw, unorganized data files |
When to go beyond self-serve
buy.faraday.ai gives you the core foundation of consumer data enrichment: identity completion and consumer profile enrichment. We're talking about the exact same 1,400+ data points from the Faraday Identity Graph that power our enterprise solutions—no watered-down datasets, no training wheels. For most marketing and ops teams, this self-serve data is more than enough to instantly upgrade CRM segmentation, real-time personalization, and AI workflows.
But data enrichment is just step one. The ultimate value happens when you transition from knowing who your customers are to predicting what they’ll do next.
When you're ready to unlock this custom predictive data, that’s when you step beyond self-serve. The full Faraday platform takes your newly enriched records and builds bespoke predictive models tailored specifically to your business. These unique data points appear as propensity scores that can cover anything from lead scores, to personas, churn predictions, next best offer scores, LTV forecasting, and a range of other applications.
Find your next high-value move
If you're unsure how to make the leap from data enrichment to predictive modeling, you don't have to guess the right path.
- Talk to a Context Consultant: Want to just talk it through? You can book a session with a Context Consultant to look at your current tech stack and figure out exactly which data points will move the needle for your company, or get set up with an enterprise plan and predictive modeling today.
- Get a Customer & Market Diagnostic Report: A common starting point for brands looking to take their data program to the next level is a Customer & Market Diagnostic Report. We can run a comprehensive diagnostic that maps your existing customer base against the FIG to pinpoint the exact, highest-value predictive opportunities specific to your business.
Start enriching your data today
With buy.faraday.ai, you can get started today. No six-figure budget or a months-long procurement process, you don’t even have to talk to us (although our Context Consultants would love to connect if you’d like a little guidance). Whether you're running a one-off batch via CSV or setting up real-time enrichment via API, you can start pulling insights from the Faraday Identity Graph right now.
Create your free account at buy.faraday.ai — pay only for the matches you get, with zero commitments.
FAQ
What do I need to get started?
A customer or lead file with identity fields — name, email, phone number, and/or physical address. The more identity fields you include, the higher your match rate. Sign up at buy.faraday.ai, pick your data points, and upload.
What kind of data can I get?
Anything in the Faraday Identity Graph — 1,400+ data points spanning demographics, financial signals, property data, life events, lifestyle indicators, and more. You select exactly which data points you want for your project.
What's a typical match rate?
It depends on the quality of the identity fields you send. Records with name, email, and physical address match at the highest rates. Records with only an email will match less often. If your match rate is lower than expected, the fix is usually improving the identity data you're sending — we can help you troubleshoot.
Is this the same data as enterprise Faraday?
Yes. buy.faraday.ai runs on the same Faraday Identity Graph that powers our enterprise platform. The data is identical — the difference is the delivery model (self-serve, pay-per-match vs. managed engagement).
Can I use this for credit or lending decisions?
No. buy.faraday.ai is designed for marketing, personalization, and customer intelligence use cases. It is not a consumer reporting agency and cannot be used for credit, lending, insurance underwriting, or employment decisions.
What's the difference between this and buying data from a broker?
Traditional brokers sell raw data files through multi-month contracts with six-figure upfront fees. buy.faraday.ai is self-serve, pay-per-match, and delivers production-ready data points — no contracting, no data science team required.
When should I upgrade to the full Faraday platform?
When you're ready to go beyond enrichment into predictive modeling — personas, propensity scores, churn prediction, next best offer, LTV forecasting. The full platform builds on the same FIG data, so the transition is seamless.

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.

Ben Rose
Ben Rose is a Growth Marketing Manager 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.
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