Can I access Digiseg data in DV360?
Yes, you can! Just contact email@example.com and request a custom audience. No ramp-up time and usually available same day. Read more about the Display & Video 360 platform here.
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.
How do I find segments for a specific geo in Xandr – for example, California or Germany?
Digiseg offers the same 200 segments in all markets. You activate the audience in Xandr and set up standard Geo-targeting in the line item.
Can I combine business audiences with household characteristics?
It is possible in certain platforms, Adform for example. For combining audiences, contact firstname.lastname@example.org.
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.
Can we target households with children of different age using Digiseg data?
Our segmentation methodology is based on neighborhoods, which means we do not segment data by age or gender. However, we have found that stereotypical targeting, such as using gender, is mostly only useful in certain cases for high-involvement products. When it comes to age, the closest we can get is segmenting users based on “lifecycle”. These audiences differentiate internet users into groups ranging from “Young couples and singles” to “Pensioners”. This approach allows us to offer effective targeting options based on lifestyle and behavioral patterns rather than just demographics.