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.

Mobilewalla Household outputs addressable household insights, at scale, that reveals detailed nuanced information about each household and its members. This includes demographic distribution, devices through which telecom services are consumed, time series recording of carrier connection to each device, the type of each connection and other metadata both internally and externally.