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.

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.

If you use Digiseg B2B audiences together with a CPC or CPA optimization you can achieve solid and scalable results when targeting specific functions, industries or verticals. It is our experience that B2B campaigns succeed with Digiseg audience data because of the focus on business internet usage.

No, you don’t need to enter a contract to use Digiseg Audience Data. You can find us in most DSP data marketplaces. If Digiseg does not have a direct integration to your DSP you can always order a custom audience served as a Deal-ID.

You can use Digiseg in Adobe and Google Analytics through our Audience API. Contact support for more details: support@digiseg.io