High-quality third-party data for predictive analytics can help you build accurate predictive models, gather the most granular consumer insights (including those of consumers who have yet to be your customers), and keep you compliant with privacy regulations.
But using such data comes with questions:
What a data provider does – and how they do it – matters deeply. Here’s how Mobilewalla answers such questions so you can use our data with confidence:
Mobilewalla has the most comprehensive repository of consumer data in the industry, processing and recording 75B signals from 2.2 billion unique mobile devices in over 40 countries every day. At the heart of this data is Mobile Advertiser ID (MAID), which uniquely identifies a mobile device. Associated with these device IDs are certain granular attributes, including:
Our robust data set (cleansed and stored over an extended period) and AI-driven algorithms allow us to create detailed insights around each device ID, encompassing both direct data and derived consumer behavioral insights.
After collecting data from multiple sources (mostly mobile app publishers), Mobilewalla applies data cleansing and fraud detection measures, using a mix of deterministic artificial intelligence and machine learning techniques, to discard bad data and leave only highly accurate, granular data that can be used to make predictions, create profiles, and/or perform data analysis.
Mobilewalla takes data privacy and consent compliance seriously. We want to be insightful; not intrusive. Compliance is in everything we do, from the data we acquire to the products we produce and ultimately to the solutions we make available to our customers.
To that end, we do not have data that is considered sensitive or can be tied directly to an individual. You get information, not identification. Plus, our rigorous privacy and consent framework is built into each step of our business processes, including:
Mobilewalla’s accurate, high-quality data provides the ideal inputs for creating profiles, performing data analysis, training predictive models, and more. We provide 6 different data sets, making our data easy to use across a wide range of business, marketing, and data science applications. Download a free data sample and see for yourself.