Mobilewalla maintains the most comprehensive repository of highly predictive consumer data, which includes both device- and user-related attributes and features. View the data schemas or request a data sample to understand how we can power your next project.
Mobilewalla Core Data is keyed on the Mobile Advertiser ID (MAID) and includes device-specific information on systems (device ID, operating system, handset), app usage, connectivity (provider, connection type, IP address), location, and more.
Mobilewalla Aggregated Data compiles the core data elements into more manageable data sets to create a better fit for many use cases and to reduce processing costs. The data set has four primary objects: app, location, carrier, and device, each aggregated on a daily or monthly basis.
Leveraging data surrounding app usage, demographics, and location, Mobilewalla uses machine learning techniques to group devices by specific demographic and behavioral segments and targeting criteria. Ideal for programmatic advertising, we have more than 200 syndicated audience segments available.
The Mobilewalla Feature Mart is a collection of sophisticated, highly predictive features that help data scientists improve the feature engineering process and build more accurate and predictive machine learning models.
Mobilewalla has mapped over 50+ million places of interest. Useful for footfall analysis, cross-channel attribution studies, and more, the POI Data Schema contains base information about a specific location including the primary category and up to four subcategories.
Data sets can be purchased together or separately depending on your business needs. They are available in various forms to easily integrate with existing internal systems via system-to-system transfers.
We support leading cloud platforms:
Our data can also be accessed through various demand side and data management platforms at a frequency that makes the most sense for your business.