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.

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.

It is possible in certain platforms, Adform for example. For combining audiences, contact support@digiseg.io.

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.

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.