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Kindred Data Products: APIs & Datasets

MAID based Real-time Geolocation data | 31 geos | Mobile attribution data | App session data

MAID-based Indonesian telco data | 100% country coverage | App data for analytics/ advertising | Credit checking, gaming analyti

MAID-based Indian telco data | App data for analytics/ advertising | Credit checking, gaming analytics
Kindred Pricing & Cost
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Kindred Competitors & Alternatives
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About Kindred
Kindred in a Nutshell
Kindred operates the world’s first scaled Commerce Media Network - combining a Commerce Monetization Network, our Audience Data product (Audience Logic) and a Commerce Ad Network on one platform for Advertisers, Publishers and Platforms .
Country Coverage
Data Offering
Common use cases:
- MAID based lat/long data for accurate and daily geolocation use cases
- ID linkage for DSP/SSP’s graph building use cases
- Telco Demographic data for credit checking and advertising use cases
- Gaming app usage segments for targeting
Use Cases
- MAID based lat/long data for accurate and daily geolocation use cases
- ID linkage for DSP/SSP’s graph building use cases
- Telco Demographic data for credit checking and advertising use cases
- Gaming app usage segments for targeting
Data Sources & Collection
Kindred partners with 100,000+ merchants online in 180+ countries and our channel partners like handset manufacturers, telcos, SDK partners to gather consent-based user data.
Key Differentiators
Via our direct channel partnerships with handset manufactures, telcos, media companies and other SDK partners, we gather 1st party consent-based user information that is real and accurate. The telco-level data also gives us outstanding advantages in terms of the accuracy and granularity.
Data Privacy
We are Kindred Soul Limited, a UK limited company, (‘we’, ‘us’, ‘our’, ‘Kindred’) with a registered office at PEM, Salisbury House, Station Rd, Cambridge CB1 2LA.
We are registered with the UK Information Commissioner’s Office under number ZA728760.
For any queries or requests relating to your data, how we collect or process it, or anything to do with this privacy notice, please contact us at privacy@kindredteam.com
Frequently asked questions about Kindred
What does Kindred do?
Kindred operates the world’s first scaled Commerce Media Network - combining a Commerce Monetization Network, our Audience Data product (Audience Logic) and a Commerce Ad Network on one platform for Advertisers, Publishers and Platforms .
How much does Kindred cost?
The supported pricing models for Kindred’s data are available by getting in contact with them via Datarade. Get talking to a member of the Kindred team to receive custom pricing options, information about data subscription fees, and quotes for Kindred’s data offering tailored to your use case.
What kind of data does Kindred have?
Interest Data, Location Data, Mobile Location Data, Mobile Attribution Data, and 5 others
What data does Kindred offer?
Common use cases: MAID based lat/long data for accurate and daily geolocation use cases ID linkage for DSP/SSP’s graph building use cases Telco Demographic data for credit checking and advertising use cases Gaming app usage segments for targeting
How does Kindred collect data?
Kindred partners with 100,000+ merchants online in 180+ countries and our channel partners like handset manufacturers, telcos, SDK partners to gather consent-based user data.
What’s Kindred’s data privacy policy?
We are Kindred Soul Limited, a UK limited company, (‘we’, ‘us’, ‘our’, ‘Kindred’) with a registered office at PEM, Salisbury House, Station Rd, Cambridge CB1 2LA. We are registered with the UK Information Commissioner’s Office under number ZA728760. For any queries or requests relating to your data, how we collect or process it, or anything to do with this privacy notice, please contact us at privacy@kindredteam.com
What are the best use cases for Kindred’s data?
MAID based lat/long data for accurate and daily geolocation use cases ID linkage for DSP/SSP’s graph building use cases Telco Demographic data for credit checking and advertising use cases Gaming app usage segments for targeting