Sign up below to view device data and get your trial account.

We communicate via email to process your request in line with our privacy policy. Please check the box to give us your permission to do this.


Use Cases of Device Detection for Apps

Today, the average person uses many different devices each day, seamlessly floating between mobiles, tablets, desktops and more.

The wider the variety of devices used, the greater the risk is in terms of providing an inadequate user experience, which can have a major impact on ROI. With so many connected mobile devices being used by the same person daily, understanding this diversity in real-time can give your business a strategic advantage.

So how can device detection in the native app environment give you an edge? Here are some examples.

Analytics and Reporting

The availability of a wide range of additional data points about devices allows deeper and more accurate insight into app usage patterns. By understanding app engagement at a device level, you help all areas of your business - marketing, support, operations, product etc.

Knowing exactly what your audience is experiencing when interacting with the brand across devices and environments can inform optimising customer engagement, leading to an increase in your ability to maximise ROI.

Using DeviceAtlas, you'll be able to answer many questions about your customers' experience, such as:

  • Does device age (when it was released) negatively affect conversions?
  • Does screen size result in a higher or lower average time spent in-app?
  • Do devices considered quite similar show different results and metrics?
  • How significant is the impact of device performance (CPU, RAM etc.) on those same results?

DeviceAtlas’ device recognition capability is highly accurate and fast, which makes it an excellent fit for analytics and business intelligence environments where precision reporting is paramount.

In-app Advertising

Programmatic advertising is the process by which advertisers/publishers buy and sell ad inventory across several channels (including mobile apps) using real-time bidding. According to eMarketer, programmatic display advertising accounted for 78% of the total ad spend in the US, and 79% in the UK.

Naturally, device data has a key role to play in this growing space. Most ad budgets are now carefully targeted, meaning accurate device data is more important then ever. DeviceAtlas for Apps offers a rich extra layer of decision making information to campaign managers.

These additional inputs can be used to better target and tailor the campaign for specific audiences, feeding back into the loop to refine and segment to an even greater level of detail and accuracy.

For the advertisers, this means more efficiency and value from every ad-dollar spent. We work with many different players in the programmatic and RTB space (Exchanges, DSPs, and Ad Servers), powering trillions of ad placements per month.

DeviceAtlas provides the same deep intelligence in the native apps environment that it provides in the web environment, providing a consistent view across all channels. Publishers, advertising platforms and analytics providers in the app ecosystem can get a consolidated view of device usage across both environments.

Interested in learning more about how DeviceAtlas for Apps can help your business? Read on:

Try DeviceAtlas for the Native Apps environment

DeviceAtlas provides the same deep intelligence in the native apps environment as it provides in the web environment, giving you a consistent view of devices across all channels. Get a free trial of DeviceAtlas for Apps today.

Learn more