Mobile Attribution Data
The Ultimate Guide to Mobile Attribution Data 2021
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.