Skydeo AppGraph™
AppGraph Insights
Skydeo AppGraph Insights provide rich, behavioral brand intelligence based on app usage.
Competitive Conquest
Target Competitors Customers based on app usage information.
AppGraph Append
Upload your own 1st party data sets to Skydeo to learn what apps people use, where to target them on social media and gain brand intelligence.
AppGraph Targeting
Target people by mobile app usage on Facebook, Google and programmatic targeting on major platforms.
Custom Audiences
Skydeo creates custom audiences through deep learning AI against 3 billion devices and over 1 trillion deterministic event attributes.
Skydeo AppGraph™
There are over 5 million apps in the app stores. For every human activity, interest, hobby, idea, task – there is an app for that. Skydeo AppGraph is the largest programmatic consumer survey ever conducted. We ask consumers “What apps do you use?” The results are an astounding collection of behavioral interest, intent and life stage information in which to create high value audiences in a privacy compliant way.
App Intelligence = Brand Intelligence
There are several app intelligence firms that report on appstore downloads using the developers appstore login information as the source of data. These tools are great for the Top ranking apps but fail to register for smaller, niche apps or new apps on their way up the charts. Since Skydeo sources its brand/app intelligence directly from the consumer, we have a deterministic AppGraph across every device and every app used. Skydeo’s Data Science combines the AppGraph using machine learning, cohort analysis and other techniques to provide brand intelligence, brand affinities and look-alike modeling for audience extension.
AppGraph Segments can be created by combining a custom list of apps you choose, by category of apps, by keyword in name or description or by using Skydeo AI Segments to use your app as the seed to build hyper targeted lists.
WPP Mindshare
“AppGraph does provide an excellent foundation for more extensive analysis in the future, such as the mapping of buying patterns and ROI predications.”