As part of our long-term commitment to delivering the best quality data to our customers, we’ve built a new proprietary data noise filtering algorithm at Quadrant.
Not only will this save hours or even days of our clients’ time, it will also save on wasted costs of investigating the causes of bad data where they are not eliminated at source.
In the spirit of transparency, we are going to share some background info on how we at 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.
At Quadrant, we aim to bring transparency to the location data space. To do so, we have made public various metrics for data buyers to evaluate our mobile location data feeds.
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To truly map human behaviour to effective mobile marketing, online data is not always the best data for brands to base their advertising campaigns on.
Based on the advances in the location data space, it is surprising that a lot of companies continue to fixate on the number of events per device per day to assess the quality of location data.
