Um neue und potentielle Kunden eines Advertisers anzusprechen, lernt nugg.ad in Echtzeit aus dem Verhalten tatsächlicher Kunden.
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Eine essentielle Quelle für gutes Predictive Behavioral Targeting sind Datenerhebungen aus dem Online-Surfverhalten von Usern.
Predictive Behavioral Targeting ist die beste Lösung für Advertiser und Agenturen um brand-affine User im Internet direkt anzusprechen
Durch Daten aus dem e-commerce identifiziert nugg.ad kauffreudige User.
Media Agenturen und Advertiser haben durch nugg.ad die Möglichkeit, attraktive Zielgruppen direkt und standardisiert bei allen Vermarkterkunden von nugg.ad zu buchen.
nugg.ad steigert Kampagneneffizienz und senkt den Zielgruppen-TKP.
nugg.ad identifiziert kauffreudige User und steigert die Conversionrate.
nugg.ad lässt Werbung wirken und liefert detaillierte Zielgruppeninsights.
nugg.ad minimiert Streuverluste und adressiert die richtige Zielgruppe.
nugg.ad Predictive Behavioral Targeting offers adnetworks and publishers various best-performer combinations of sociodemographics and product interests as standardised Hot-Spots. Here are some examples:
Car Enthusiasts: On the road with the family or solo, this male target group between 20-49 years of age is all about cars.
Gadget Lovers: While being available all day every day, these people between 14-49 years are keen on mobiles and phone rates.
Insurance Shoppers & Financial Information Seekers: This user group has an above-average income and is deeply interested in financial investments, real estate, or insurances.
Technology Shoppers: Technology shoopers are aged between 20 and 49 and very affine to consumer electronics as well as cameras.
Media Eaters: At home with the stars and starlets, this target group knows about everything and everyone in entertainment, lifetyle, and / or music.
Families: Our families, bookable at all nugg.ad clients, are proud parents of at least one child or all people with more than three persons living in one home.
Travel Enthusiasts: These people love to travel the world with all-inclusive as well as last-minute offers.
Gamers: All 14-39 year old gamers and gamblers who like to spend their free time shaking pads in front of a pc or game consols are bookable through Predictive Behavioral Targeting.
Household Decision Makers: The forefront of all supermarket decision makers between 20-59 with a buying interest in consumer products for the household.
Computerfreaks: Everything connected to computer hardware or software means a lot to this male target group.
Christian Hillemeyer
Communications Manager
+49 (0)30 29 38 19 99 -18