QUADRANT DATA OVERVIEW
Quadrant analyse the quality of location data we provide to our buyers – some of the steps we take to ensure it is of the highest quality possible for their particular use case. Quadrant only source location data from SDKs as IP address, bidstream, and cell tower triangulation data are not nearly as accurate. Peeling back the layers of location data to assess its overall quality means we look at a variety of key data metrics.
Let’s take a closer look at some of these metrics below:
DAU/MAU Ratio - One of the baseline metrics we look at when analysing location data for quality is the Daily Active Users (DAU) and Monthly Active Users (MAU) ratio. In a nutshell, this helps us approximate how consistent a panel (group of mobile devices) is over the course of a month. The higher the number, the better.
Days Seen Per Month - Days seen per month is a metric that gets even more granular than DAU/MAU. It enables us to see the distribution of devices over a certain period of time, we start by evaluating the number of days over the course of the month.
Hours Seen Per Day - The number of Hours Seen Per Day, like days seen per month, for most use cases is usually more valuable when the number is higher. This should be obvious, because it means we are recording a more complete picture of a user’s daily activity in terms of where they are located on an hour-by-hour basis.
Evidence of bidstream data – The final metric we will share is very important to ensure a high-quality and consistent data set. We remove all data from providers that show evidences of bidstream data, by looking for the following three red flags: