Consumer Identity Graph Data

Consumer identity graphs track consumers' online habits across multiple devices. Companies and marketers use this information for in-depth insights into their customer's online habits and preferences. Datarade helps you find the best datasets and APIs. Learn more →
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Discover, compare, and request the best consumer identity graph datasets and APIs.
Our Data Partners
Throtle ID Graph - Deterministic Identity Data USA Consumers 350 million MAIDs icon
350 million MAIDs
Throtle ID Graph - Deterministic Identity Data USA Consumers 100% Quality of Consumer Data - Truth{set} Truthscore™ Index icon
100% Quality of Consumer Data - Truth{set} Truthscore™ Index
Throtle ID Graph - Deterministic Identity Data USA Consumers USA covered icon
USA covered
Unite disparate data sources to obtain a unique, single profile of your customers.
Identity Graph Data USA by Datastream Group (MAIDs matched to PII) 800M records icon
800M records
Identity Graph Data USA by Datastream Group (MAIDs matched to PII) 100% match rate icon
100% match rate
Identity Graph Data USA by Datastream Group (MAIDs matched to PII) USA covered icon
USA covered
Over 800MM MAIDs matched to PII and other identifiers - Sold in separate databases with unique identifiers. Perfect for Identity Graphs
Consumer Data Enrichment: Consumer Identity Data for LATAM by Retargetly  6 countries covered icon
6 countries covered
Consumer Data Enrichment: Consumer Identity Data for LATAM by Retargetly  18 months of historical data icon
18 months of historical data
Our Consumer Graph holds billions of data points on Latin American consumers, including your customers.
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Datastream Group
Based in USA
Datastream Group
Our Dedicated team is ready to create an innovative data solution that is tuned to your business needs.
Scale
large quantities
Accurate
constantly updated & verified
250M +
Full consumer profiles
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Onemata
Based in USA
Onemata
Onemata is trusted by people & businesses as their data & analytics partner for derivative product development, marketing, sales & recruitment. We harness th...
270M
Social & demographic people
150M
US Business Contacts
31M
Business profiles
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Throtle
Based in USA
Throtle
Empowering brands with the most accurate 1:1 view of their customers, across channels and devices.
250M
US Individuals
CCPA
Privacy Compliant
100%
Deterministic Matching
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The Ultimate Guide to Consumer Identity Graph Data 2021

Learn about consumer identity graph data analytics, sources, and collection.

What is Consumer Identity Graph Data?

As technology develops and people use more and more devices to connect to the internet, it is harder to track consumer’s online actions. Consumer identity graphs are used for this purpose. They track people’s online browsing habits, preferences and interests to present a comprehensive consumer profile based off their actions across multiple devices. Consumer identity graphs identify users across different devices by using various different tracking methods and IDs to create an accurate picture of what people are interested in regardless of the device they are using.

How is Consumer Identity Graph Data collected?

Consumer identity graph data is collected in much the same way as consumer identity data. First- and third-party data is used to track people’s online browsing and shopping habits, for example which websites they visit, what purchases they make and how often they make these purchases. From this, data providers can create accurate profiles about consumers’ online interests, habits and preferences and can discern information, such as whether a certain consumer has a strong sense of brand loyalty or is prone to visit other websites for later purchases.
However, a consumer identity graph dataset takes this one step forward. It uses identification data to track the different devices belonging to a specific person or household and from there can combine consumer identity data from across these devices to present the most comprehensive consumer profile possible.

What are the attributes of Consumer Identity Graph Data?

Consumer identity graph data can include a range of consumer information. This can include:

  • Email or physical address
  • Online cookies
  • MAID Device IDs
  • Phone numbers
  • Account usernames
  • IP numbers

… and essentially anything that can be linked back to the device and its identifier.
However, this can also be details about the websites they visit or their online purchasing habits. This information is all used to make a consumer profile which can be used by marketers for advertising campaigns.

What is Consumer Identity Graph Data used for?

Consumer identity graph data is essentially used by companies to recognize customers across the range of devices they may be using. This data can provide key insights about the consumers’ online habits, preferences and interests which can be used by companies’ marketing teams for the most successful campaigns and to generate higher levels of revenue.
This information can also be used by companies to evaluate the performance of their business. They can track visitor frequency to the site and their location to judge their global or regional performance. From here, companies can adjust their online strategies to ensure that they are working in the most efficient way to retain consumer interest.

How can a user assess the quality of Consumer Identity Graph Data?

Assessing the quality of a consumer identity graph dataset is important. The best way to ensure quality is to deal with a reputed data vendor who can assure you of the data quality.

Here are a few methods that you can adopt to assess the cross-device identity data quality:

Sample set for testing
Ask for a sample set for testing. This will help you in testing the waters and gauging that the data shared by you is actually authentic and reliable.

Ask for customer referrals
Perhaps, this is one of the best approaches. If customers of a particular data vendor seem are happy, it is likely that the identity data company provides quality data.

Research and understand data providers’ collection methods
You might also like to have a look at the collection methods used by data vendor for collecting cross-device identity data.

Who are the best Consumer Identity Graph Data providers?

Finding the right Consumer Identity Graph Data provider for you really depends on your unique use case and data requirements, including budget and geographical coverage. Popular Consumer Identity Graph Data providers that you might want to buy Consumer Identity Graph Data from are Datastream Group, Onemata, Throtle, MediaWallah, and Zeotap.

Where can I buy Consumer Identity Graph Data?

Data providers and vendors listed on Datarade sell Consumer Identity Graph Data products and samples. Popular Consumer Identity Graph Data products and datasets available on our platform are Throtle ID Graph - Deterministic Identity Data USA Consumers by Throtle, Identity Graph Data USA by Datastream Group (MAIDs matched to PII) by Datastream Group, and Consumer Data Enrichment: Consumer Identity Data for LATAM by Retargetly by Retargetly.

How can I get Consumer Identity Graph Data?

You can get Consumer Identity Graph Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Consumer Identity Graph Data is usually available to download in bulk and delivered using an S3 bucket. On the other hand, if your use case is time-critical, you can buy real-time Consumer Identity Graph Data APIs, feeds and streams to download the most up-to-date intelligence.

What are similar data types to Consumer Identity Graph Data?

Consumer Identity Graph Data is similar to Device Graph Data and B2B Identity Graph Data. These data categories are commonly used for Identity Resolution and Consumer Identity Graph Data analytics.

What are the most common use cases for Consumer Identity Graph Data?

The top use cases for Consumer Identity Graph Data are Identity Resolution, Data Onboarding, and CRM Data Enrichment.