Not all data is created equal. This is especially true when it comes to mobile location data that is plagued with bad data. Only high-quality mobile location data can help businesses understand consumer's behavior and movements in the real world. Here are nine indicators for identifying high-quality mobile location data:
1. High Volume MAU/DAU
When analyzing location data for quality, one of the baseline metrics to consider is the Daily Active Users (DAU) and the Monthly Active Users (MAU) ratio. The MAU/DAU data helps determines a panel's consistency throughout the month. The Higher MAU/DAU volume signifies more quality mobile location data.
2. High Quality SDK Derived GPS Data
A Software Development Kit (SDK) listens for multiple location signals, hence can constantly and consistently collect location data with precision and accuracy.
High-quality SDK's can utilize the device's built-in GPS to accurately map a single device's location, providing reliable data. For example, daily trips to the groceries.
3. Multi-Source
While there're several means of collecting mobile location data, each signal transmitter comes with its upsides and downsides, depending on the user's requirements. For example, GPS is so good outdoors, but Bluetooth is much better when indoors. Using more than one transmitter or supplementing mobile location data with other geospatial data types increases data accuracy.
4. Android Heavy
Approximately 1.6 billion people use Android phones worldwide. So if the tracking software is android-based, it can access many smartphone users, providing more accurate data. Besides, Android's Google Location History feature can record location information automatically, whether used singly or integrated with other data sources like SDK.
5. Background Heavy
The need to measure consumer behavior using mobile geodata is increasingly becoming popular amongst businesses. As such, short period access to location data is unreliable, which bring the need for data-collecting software to run in the background to provide continuous data collection. Heavy background data access improves data quality.
6. Supply Stability
Whether you're finding the number of people entering a restaurant or the number of users making an online transaction, you need the data supplied constantly, continuously, and accurately. In a stable data supply environment, the tracking software efficiently brings clear, accurate, continuous data from user's mobile devices without stops.
7. Low Latency
Latency is how faster the data can travel from one designated point to another. Low latency increases user experience, and consequently, data quality.
The lower the latency, the better. With low latency, you also receive real-time data necessary for faster analysis and decision-making.
8. Compliance-First
None compliant data is worse than no data at all. Recently, countries are implementing data protection regulations, ensuring users know if (or why) their data is getting used. The General Data Protection Regulation (GDRP) for the EU and the US require companies to inform users before collecting their data. Quality data is compliance-first.
9 Geographical Coverage
Wider geographical coverage results in increased accuracy. Suppliers with vast breadths of geographical coverage can offer greater connections for devices. It should be noted that many suppliers have variances in the quality per geographical area so be sure to check on MAU And DAU rates per country or region you're interested in.
Get Quality Mobile Location Data for Your Company
While you may not have the resources or time to collect mobile location data, you don't need to worry because we've got you covered. At Onemata, we've built compliance-first, SDK-derived mobile location data for you so that you can focus on building game-changing products and solutions. Request your sample data.