
180 million unique MAID | Segments, App data for analytics/ advertising | Credit checking, gaming analytics
id_g
|
id_a
|
segment
|
event_timestamp
|
---|---|---|---|
xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx |
Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx |
Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx |
xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx |
xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx |
Xxxxx | Xxxxxx | xxxxx | xxxxxxxx |
xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx |
xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx |
Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx |
xxxxxx | xxxxxxx | xxxxxxx | Xxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
id_g
|
String | ||
id_a
|
String | ||
segment
|
String | Movie Lovers > News | |
event_timestamp
|
Timestamp | 1743354000 |
Attribute | Type | Example | Mapping |
---|---|---|---|
String | 430ce98b-4318-4729-a7cb-aef498b05b54 | Mobile Advertising ID (MAID) Type | |
String | 21920729-e438-403d-b425-f8ea8ecae684 | Mobile Advertising ID (MAID) Type | |
trait_device
|
String | Poco M4 Pro 4G (2201117PG) | |
trait_telco
|
String | Smartfren | |
trait_device_vendor_name
|
String | Xiaomi | |
prop_category
|
String | Movie Lovers > Online streamer | |
event_type
|
String | interest | |
event_timestamp
|
String | 1735578000 |
Description
Country Coverage
History
Volume
180 million | MAU |
1.3 billion | App events |
Pricing
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
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Frequently asked questions
What is 180 million unique MAID Segments, App data for analytics/ advertising Credit checking, gaming analytics?
180+ million unique MAIDs on a monthly basis from Indonesian telco’s against demograhpic data, location, granular app session data
What is 180 million unique MAID Segments, App data for analytics/ advertising Credit checking, gaming analytics used for?
This product has 5 key use cases. Kindred recommends using the data for Geotargeting, Advertising, Credit Scoring, App Intelligence, and App Analytics. Global businesses and organizations buy Demographic Data from Kindred to fuel their analytics and enrichment.
Who can use 180 million unique MAID Segments, App data for analytics/ advertising Credit checking, gaming analytics?
This product is best suited if you’re a Small Business or Enterprise looking for Demographic Data. Get in touch with Kindred to see what their data can do for your business and find out which integrations they provide.
How far back does the data in 180 million unique MAID Segments, App data for analytics/ advertising Credit checking, gaming analytics go?
This product has 9 months of historical coverage. It can be delivered on a monthly basis.
Which countries does 180 million unique MAID Segments, App data for analytics/ advertising Credit checking, gaming analytics cover?
This product includes data covering 1 country like Indonesia. Kindred is headquartered in Singapore.
How much does 180 million unique MAID Segments, App data for analytics/ advertising Credit checking, gaming analytics cost?
Pricing information for 180 million unique MAID Segments, App data for analytics/ advertising Credit checking, gaming analytics is available by getting in contact with Kindred. Connect with Kindred to get a quote and arrange custom pricing models based on your data requirements.
How can I get 180 million unique MAID Segments, App data for analytics/ advertising Credit checking, gaming analytics?
Businesses can buy Demographic Data from Kindred and get the data via S3 Bucket. Depending on your data requirements and subscription budget, Kindred can deliver this product in .csv format.
What is the data quality of 180 million unique MAID Segments, App data for analytics/ advertising Credit checking, gaming analytics?
Kindred has reported that this product has the following quality and accuracy assurances: 80% match rate. You can compare and assess the data quality of Kindred using Datarade’s data marketplace.
What are similar products to 180 million unique MAID Segments, App data for analytics/ advertising Credit checking, gaming analytics?
This product has 3 related products. These alternatives include MAID-based Indian telco data App data for analytics/ advertising Audience segments Credit checking, gaming analytics, Identity Data, Consumer Demographic Append (Income, Home Value, Financial Data, etc) API, USA, CCPA Compliant, and Advertising Data Leads and Enrichment API Maximize Ad ROI Best Price Guarantee. You can compare the best Demographic Data providers and products via Datarade’s data marketplace and get the right data for your use case.