Topics
What is the difference between Segment Reach and In-Target Reach in your Audience Builder?
In Digiseg we segment neighborhoods, an approach that by nature is probabilistic. When you select an audience in our Audience Builder, some users will have the right characteristics while others may fall outside of your targeting criteria. That’s why we display the accuracy of your selected audience in two columns: In-Target Reach and Excess. In-Target Reach represents the number of users who fall within your specified audience criteria, while Excess represents the number of users who don’t. Together, these two columns make up the Total Segment Reach.
Related questions
How to implement Digiseg click URL pixel with my creative?
Correct implementation can vary by platform. Contact support and they will send you a guide to including our click URL in your campaign and provide any additional assistance necessary.
Is Digiseg data better suited for any specific advertiser verticals?
Digiseg data is based on household characteristics which are an excellent proxy for “needs” and it can be used for a broad range of verticals. Popular verticals are Finance, Automotive, FMCG/CPG, Publishing, Insurance, Telecommunication, Gaming, and Health.
How to implement Digiseg tracking pixel with my creative?
Correct implementation can vary by platform. Contact support and they will send you a guide to including our pixels in your campaign and provide any additional assistance necessary.
I cannot find a suitable segment on your audience list?
Our audience experts can help create a custom audience. Send a campaign brief to support@digiseg.io. The service is free of charge and the pricing is the same as standard segments. We usually deliver a custom segment in one working day.
Can I use Digiseg to measure attribution?
Digiseg’s measurement tool can help you create an audience profile for a landing page or, for example, a conversion event. This profile is easily turned into a custom audience that you can use in programmatic campaigns to drive the right kind of users to that same landing page. Because it contains no personal data, our data cannot provide direct attribution in the same way that cookie- or ID-based solutions can.
