Mobile Attribution Data

Mobile attribution data tracks users' interaction with an ad and the pathway they then took to installing an app. It then records their engagement with the app. Marketers use this data to evaluate the success of their campaigns. Datarade helps you find the best datasets and APIs. Learn more →
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Discover, compare, and request the best mobile attribution datasets and APIs.
Our Data Partners
Multimedia Lists - Mobile Device & Location Data USA & Global (4 Billion devices) 3.8B device IDs icon
3.8B device IDs
Multimedia Lists - Mobile Device & Location Data USA & Global (4 Billion devices) USA covered icon
USA covered
Mobile Device Data - almost 4 Billion devices with MAID, IP, timestamp available by Multimedia Lists
Onemata Cross-Device Identity Resolution US & International (MAID <>HEM) 757 million total emails available for matching icon
757 million total emails available for matching
Onemata Cross-Device Identity Resolution US & International (MAID <>HEM) 100% Mobile Device Match icon
100% Mobile Device Match
Onemata Cross-Device Identity Resolution US & International (MAID <>HEM) 42 countries covered icon
42 countries covered
Say goodbye to 3rd party cookies and hello to first party identity markers. Our Device Linkage Data Solutions provides more connectivity for MAID to HEMs for...
Kochava Collective - Global Demographic Data matched to Device IDs  198 countries covered icon
198 countries covered
Demographic Data by Kochava
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Kochava Collective
Based in USA
Kochava Collective
The Kochava Collective is an independent mobile data marketplace. Our privacy-first data is anonymized and aggregated to activate and expand collaborative au...
Global Devices
Monthly Active Users
Apps worldwide - Onemata profile banner
Based in USA
Onemata is trusted by people & businesses as their data & analytics partner for derivative product development, marketing, sales & recruitment. We harness th...
Social & demographic people
US Business Contacts
Business profiles - Multimedia Lists profile banner
Multimedia Lists
Based in USA
Multimedia Lists
Data and lists are our business. We compile them, clean them up, merge/purge them, manage them for other companies and we find YOU lists that can target any ...
US Consumers
Consumer Compiled
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The Ultimate Guide to Mobile Attribution Data 2021

Learn about mobile attribution data analytics, sources, and collection.

What is Mobile Attribution Data?

Mobile attribution data is used to understand people’s behaviours when they are on their phones. It is essentially matches data points, such as attributing ad spend to user installs or engagement, so businesses can understand their consumers’ behavior. It can create an understanding of what happens when a user interacts with an app or mobile ad.
The best mobile attribution data will track the user’s entire interaction journey. It will identify and record whether a the user reacts when they see an ad, whether they then look into this ad further or install an app as a result of this ad and how they behave once the app has been installed.
This is useful for creating consumer profiles and tracking people’s receptiveness and interaction with advertisements. Marketers can clearly see who does and doesn’t respond to advertising campaigns.

How is Mobile Attribution Data collected?

Mobile attribution data is collected by tracking a user’s behaviour when they are using their mobile device.
When you play a game on your phone, advertisements will appear often. Mobile attribution data records whether you interact with this ad in any capacity. Do you click on the link? Do you then follow through to download the app being advertised? Do you ignore the add completely?
If you do interact with the ad, this begins a chain of data collection. Mobile attribution data will record the user’s actions from this point and the information that is then collected will be analyzed and compiled in a consumer profile report for marketers to adjust and tailor their advertising campaigns to generate more revenue.

What are the attributes of Mobile Attribution Data?

When a user clicks on an add, the following data is recorded and can be provided in a mobile attribution dataset:
User details - The user’s IP address will automatically be recorded when they interact with the ad and this makes up part of a mobile attribution dataset. Other basic details are sometimes recorded, such as geospatial location. The advertising ID will also be recorded. This is a string of numbers and letters that can be used to identify every smartphone or tablet in the world. The user agent, a line of text identifying a user’s browser and operating system, will also be recorded. A timestamp will also be provided, which notes when the user first clicked on the link.
First install details - This is a set of consumer behaviour habits which are recorded from when the user first opens the app. This can be details such as how often they open the app and how much time they spend on it from the point of first install.
All these details can be further analyzed in a mobile attribution dataset to highlight whether the consumer was a new or existing user and can then try to match their installation of the app

What is Mobile Attribution Data used for?

Marketers and businesses use mobile attribution data to track the success of their advertisements on apps and their consumers’ subsequent interactions with the app if they install it.
They can use movile attribution data to determine an advertising campaign’s ROI (return on investment) or use it to improve customer relations by seeing where they failed to attract consumers’ interest. All this can be used to generate and grow revenue through better investments.
Additionally, mobile attribution data can be used to gauge and enhance customer interactions. By having access to the touch-by-touch path a consumer took, businesses can identify where the broken link was that led to their failed consumer engagement. They can then work to fix this and increase user engagement.

How can a user assess the quality of Mobile Attribution Data?

High quality mobile attribution datasets will provide detailed, touch-by-touch insights into customer interactions with ads and subsequently apps. If you don’t have access to the full pathway a user took to get from ad to installation, you can’t identify at which point it went wrong when the user didn’t install the app. For this reason, it is important to make sure you ask for a data sample from the data provider before you buy any mobile attribution datasets.

Who are the best Mobile Attribution Data providers?

Finding the right Mobile Attribution Data provider for you really depends on your unique use case and data requirements, including budget and geographical coverage. Popular Mobile Attribution Data providers that you might want to buy Mobile Attribution Data from are Kochava Collective, Onemata, Multimedia Lists, and inmarket.

Where can I buy Mobile Attribution Data?

Data providers and vendors listed on Datarade sell Mobile Attribution Data products and samples. Popular Mobile Attribution Data products and datasets available on our platform are Multimedia Lists - Mobile Device & Location Data USA & Global (4 Billion devices) by Multimedia Lists, Onemata Cross-Device Identity Resolution US & International (MAID <>HEM) by Onemata, and Kochava Collective - Global Demographic Data matched to Device IDs by Kochava Collective.

How can I get Mobile Attribution Data?

You can get Mobile Attribution Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Mobile Attribution 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 Mobile Attribution Data APIs, feeds and streams to download the most up-to-date intelligence.

What are similar data types to Mobile Attribution Data?

Mobile Attribution Data is similar to In-Market Audience Data, Seasonal Audience Data, Mobile Audience Data, Third-Party Audience Data, and Audience Targeting Data. These data categories are commonly used for Attribution Analysis and Mobile Attribution Data analytics.

What are the most common use cases for Mobile Attribution Data?

The top use cases for Mobile Attribution Data are Attribution Analysis, Mobile Advertising, and Campaign Attribution.