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.

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

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.

Digiseg uses a selection of commercially available probabilistic geo-position vendors and compares their results. When the different geo position vendors’ results agree that an IP belongs to a specific neighborhood, we make the connection and add neighborhood characteristics to the IP. Digiseg is not trying to match IPs to exact households. Our geolocation only places the IP in a neighborhood of a minimum of 100 households.

On average Digiseg recognize 70% of all digital events. Mobile device traffic on wifi is recognized but mobile device traffic using cellular data 3g, 4g, and 5g is filtered out . Cellular traffic makes up a part of the 30% that Digiseg does not segment. Cellular traffic is often used when users are on the move or in transit and their geolocation says nothing about their own neighborhood or their household characteristics.