Consumer Identity Graph Data: Best Consumer Identity Graph Datasets & Databases
What is 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
Recommended Consumer Identity Graph Data Products
DrivenIQ Consumer Identity Graph | Website Visitor Resolution | ResolveID
Reklaim | Consumer Identity Graph | USA & Canada | +100m |
Identity Graph Data USA by Datastream Group (MAIDs matched to PII)
Throtle ID Graph - Deterministic Identity Data USA Consumers
Alesco Auto Database - AUTOMOTIVE DATA - 238+ Million VINs with 130+ Million Opt-In Emails - US based, licensing available
TrueData Identity Graph (UID2.0, HEM, Maid, AAID)
Consumer Data Enrichment: Consumer Identity Data for LATAM by Retargetly
Identity Linkage Data (HEM<>MAID<>IP<>timestamp) data records (US only)
MediaWallah - Deterministic People-Based Identity Graph
Reklaim | Identity Graph | USA | +100m | Mobile ID, Email, HEM, IP
More Consumer Identity Graph Data Products
The Ultimate Guide to Consumer Identity Graph Data 2023
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.
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 DrivenIQ Consumer Identity Graph | Website Visitor Resolution | ResolveID by DrivenIQ, Reklaim | Consumer Identity Graph | USA & Canada | +100m | by Reklaim, and Identity Graph Data USA by Datastream Group (MAIDs matched to PII) by Datastream Group.
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 Data Onboarding.
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.