Let us answer your questions.

We're on a different journey and we know you might have some questions about it.

What is Identity Resolution?

Identity Resolution is the practice of taking all the identifiers of an individual that may exist on multiple platforms and devices and attaching them to one person.

How does Identity Resolution work?

Identity Resolution typically relies on assumptions and modeling to confirm identity. Our Identity Resolution is different, using our Person-Centered Graph™️ which is built on top of our patented Identibase™️. We use machine learning to process confidences on different components of a person's identity. This allows us to resolve identity to a person in ways that others simply cannot.

Is Identity Resolution privacy-safe?

Identity Resolution is the key to privacy protection. Because we take the time to actually learn who someone is, we can give them complete control over what they want to share, who they want to share it with, and when they want to share it.

What is an identity graph?

The identity graph connects disparate consumer identifiers into an accurate and complete customer view. Effective identity resolution and customer profile development depends on the precision, depth, and scale of the identity graph.

What comprises the identity graph?

To create a referential view of consumer identities, the identity graph contains two key components: the known identifiers representing consumers, and the linkages that define how those identifiers relate to one another.

How is the identity graph different from traditional identity resolution capabilities?

The identity graph provides the underlying data backbone upon which identity resolution solutions are built. You can use this functionality through Resolve, which grants access to our identity graph as a reference source, allowing you to perform data hygiene, analysis, marketing tasks, and store customer profiles on your own. At its core, it's literally a collection of identifiers and links.

How can I leverage the identity graph?

By facilitating more connections across data streams, the identity graph amplifies a brand’s own data. Access to an identity graph supports a range of use cases. These include customer insights, expanded customer engagement, connected customer experiences, and honoring customer preferences.

How should I evaluate an identity graph?

Determine how you plan to use an identity graph. Many graphs are only device-focused, ours is person-centered. Most graph providers also charge for any query. We only charge for successful identified individuals—this increases the effectiveness of our customers spend by always delivering value. Additionally, it's important to evaluate three critical components for analyzing data: Scale, Precision, and Depth. Scale measures the top line number of devices and people represented by the graph; it’s a leading indicator of activation reach, match rates, and customer profiles. Precision measures the proportion of identifiers correctly linked to the same person; it’s the starting point for evaluating linkage accuracy. Depth measures the number of identifiers per cluster, such as number of devices per person; it drives addressability across touchpoints and persistence over time.

What is a match?

It’s simple. Unlike others, we only charge you when FullContact delivers value. If you request data from us, and we have something to share (a 200 Response for our technical readers) that is a match. If we don’t return data, you won’t be charged.

Can we White Label?

For plans below the Enterprise tier, we require that you give FullContact attribution for the data used in your application.

Can you guarantee uptime?

Yes! We can guarantee uptime for Enterprise-level plans. Please contact us for details.

What should I expect my match rate to be?

We provide a variety of professional services and analytic support designed to help you make the most of your data. Please contact sales to learn more.

Can I sign up for a free API key?

Absolutely! Sign up for a free API key to get started with 1,000 matches.

How long can I retain the data?

You can retain and use FullContact data as long as you are a paid FullContact customer.

Do you provide premium support?

Yes! All Premium and Enterprise-level plans include a dedicated customer success manager. Our Enterprise plans also include a dedicated account team.

What inputs can we take?

We can take email, hashed email (SHA-256 & MD5), social profiles, phone numbers, name + address, and Mobile Ad Identifiers(MAIDs) as inputs.

What distinguishes FullContact from its competition?

We like to think we're really different than others in our industry. As a company, one of our reasons for existing is to elevate Identity Resolution into something that's even more beneficial for our customers, and humanity in general. We're people-centric in a world that it is data-centered. We believe in consent and that people should own their data - not companies. FullContact also believes that we should only make money when we deliver value for our customers. We’re not just here to serve our shareholders, but our customers and the world at large. Visit our Why Us page to learn more!

What steps does FullContact take to secure personal data?

FullContact places a premium on staying at the forefront of privacy and security practices. FullContact is SOC2 Type 2, PCI, Cloud Security Alliance, and U.S.-EU/Swiss Privacy Shield compliant, and employs a GDPR (CIPP/E) certified executive as a central part of its corporate leadership.

Is FullContact CCPA compliant?

Yes! While CCPA is an ever-evolving law, we're following it closely and going beyond what's required.

What is a MAID?

A Mobile Advertising ID (MAID), sometimes called a mobile device ID, is a unique, anonymous hexadecimal number that iOS or Android assigns to each device to track user activity for advertising. Mobile Ad IDS from iOS are called IDFAs and those that Android assigns are AAIDs.

How do Mobile Ad IDs work?

MAIDs were built for the marketing and advertising community, and are tied to an individual mobile device, which makes them precise in identifying specific people. They can be used for targeting based on demographics, usage tracking, and mobile behavioral tracking - like cookies, they tie activity back to a user. And because they are tied to an individual device, MAIDs can be used as an input for Identity Resolution.

What’s the difference between MAIDs and Cookies?

It’s not one-to-one, but you can think of a MAID as cookies for a mobile device. MAIDs are an improvement over cookies because cookies need to be constantly synced and have a short 7-day lifespan.

What are the benefits of MAIDs?

MAIDs have an average lifespan of 7-8 months. MAIDs can be used in-app and are harder to block than a browser, which makes mobile advertising more effective. MAIDs are already common across all application publishers. There is no need to perform continuous sync. MAIDs are tied to individual devices and cookies are tied to browsers, so cookies are more likely to have inaccurate or misrepresented data.

Still have questions?

Let’s chat! Contact us.