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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.
Related questions
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 combine business audiences with household characteristics?
It is possible in certain platforms, Adform for example. For combining audiences, contact support@digiseg.io.
How does Digiseg ensure the location of IP adresses are accurate?
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.
Can I access Digiseg data in DV360?
Yes, you can! Just contact support@digiseg.io and request a custom audience. No ramp-up time and usually available same day. Read more about the Display & Video 360 platform here.
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.