Leveraging the power of the Faraday Identity Graph through Data Appends
Faraday’s data appends enrich your existing customer data with third-party attributes, helping you fill gaps, refine targeting, and make smarter decisions.



This post is part of a series called Faraday Identity Graph that helps Faraday users understand how the FIG works, and how they can use it to generate value for their business
In today's data-driven world, businesses can amass a wealth of first-party information, but this presents only a partial picture of their current and potential customers. Gaps in their data can limit the effectiveness of their marketing strategies, market research, and predictive models. That’s where Faraday’s data appends come in. By enhancing their existing datasets with high-quality third-party attributes, brands can unlock deeper insights to make smarter, more informed decisions.
What are data appends, and why do they matter?
Data appending is a process by which businesses can purchase and integrate external data into their own datasets to supplement their first-party information. These attributes might include demographic information, behavioral patterns, or even lifestyle indicators, data points that are generally not available through first-party channels alone. By enriching your data with these additional insights, you can gain a fuller picture of your customers and their behaviors.
But Faraday’s data appends go beyond simple enrichment. Our data is rigorously vetted, privacy-compliant, and built for seamless integration into your existing workflows. Whether refining market research, improving segmentation, or even powering your own predictive models, these appends help businesses make smarter, data-driven decisions. With Faraday, you’re not just adding data—you’re adding intelligence.
How businesses use data appends
Data appends address various business needs. Here are some common ways companies leverage them:
Exploratory research
Understanding your market often requires more than just your existing data. Take, for example, a roofing company. They might want to analyze roof sizes across different regions to gauge demand. Instead of sourcing this data themselves (which would be slow and expensive) or purchasing a generic dataset that requires extensive processing, they can use Faraday to buy and append only the relevant geographic and property data, seamlessly. This allows them to conduct targeted research efficiently and make informed decisions—like leveraging predictive targeting with Faraday next.
Supplementing existing datasets
Businesses often lack key customer details. Take a retailer that has always relied on email marketing. They would have extensive email lists but likely never collected addresses or phone numbers. If they want to expand into direct mail or call center outreach, they’ll need that missing data. This is where Faraday’s data appends come in, providing the necessary information without the hassle, time commitment, or high costs of sourcing it themselves.
Building custom predictive models
An advanced use case for our data appends is supporting businesses that prefer to develop their own machine learning models. Just as we use this data at Faraday, these companies leverage our high-quality, cleaned, and structured attributes to enhance their predictive outcomes. In this case, Faraday acts as a trusted data provider, delivering the precise insights needed to model a variety of customer attributes—such as likelihood to churn, lifetime value, or purchasing behavior—ready to be seamlessly integrated into customers’ Python environments.
How Faraday’s data appends work
The Faraday Identity Graph (FIG) is the backbone of our data appending services. This robust dataset combines multiple, meticulously cleansed, and feature-engineered data sources into one comprehensive dataset. With over 1,500 data attributes covering nearly all U.S. adult consumers and their households, it offers a deep well of insights into things like demographic trends, property ownership, life events, and financial indicators, just to name a few.
The process to access this data as appends is simple and streamlined:
- Select attributes: Choose the data attributes that align with your business goals (e.g., income levels, household size, location-specific behaviors).
- Match & append: Faraday will match these attributes to your existing customer records, providing a more complete profile of your audience.
- Integration: The enriched data is delivered in a clean, structured format that’s easy to integrate with your models and business processes.
Why not just find the data yourself?
Some companies attempt to enhance their marketing efforts by purchasing third-party data directly from various vendors themselves, rather than using packaged and processed services like Faraday’s data appends. However, this approach often presents significant challenges:
Contracting complexity: Sourcing offline data can involve lengthy negotiations and large upfront commitments.
Security risks: Handling sensitive data requires strict compliance frameworks, such as SOC-2 certification. Unlike many vendors, all Faraday data appends are privacy-compliant, ethically sourced, and adhere to high standards of data protection, ensuring your customers' personal information remains secure while providing actionable insights.
Regulatory challenges: Companies storing offline data must navigate consumer privacy laws, including opt-out and deletion requests. Faraday manages these complexities for you, so you can focus on what matters—leveraging new insights to drive revenue.
Data science overhead: Raw offline data often requires significant processing, feature selection, and bias mitigation before it can be effectively used. This can result in costly time and resource investments as companies try to integrate third-party data into their models.
Faraday eliminates these challenges by providing ready-to-integrate data that is pre-processed and structured for immediate use. Our data appends come with built-in privacy compliance, so you don’t have to worry about regulatory hurdles or the risk of handling sensitive information. Additionally, the data is feature-engineered and bias-mitigated, saving you the time and resources typically needed to prepare raw data. With Faraday, you can access high-quality, actionable insights without the complexities and overhead associated with managing third-party data directly. This allows your team to focus on refining your marketing strategies and driving better business outcomes.
How to get started
Getting started with Faraday’s data appends is simple. Once you’ve identified the attributes you need, we’ll work with you to integrate them into your existing systems. Whether you’re looking for a one-time data boost or ongoing data enrichment, our flexible pricing and easy integration make it simple to scale.
To learn more or request a demo, contact us today.
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