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.

SURVEY DATA
It is the survey data that transforms behavioural targeting into predictive behavioural targeting. In order to evaluate the necessary data, online surveys are carried out on the websites of nugg.ad’s clients. The focus of these questionnaires is on product interest and sociodemography. By incorporating the collected data with information about customer's click behaviour, it is possible to implement targeting even for fast-moving products that have no specific online channels (e.g. FMCG).
nugg.ad has carried out over 1 million successful surveys to date.
Example question: “Are you interested in computer hardware or software?”
BRAND SURFER
In order to reach new and potential customers, nugg.ad learns from the behaviour of actual customers in real-time. For this purpose, data from the advertiser’s brand websites are incorporated with data about user's surfing behaviours. Profiles of typical users are created, ultimately making it possible to reach new and potential customers.
Your benefits:
Nielsen Homescan Panel
The Nielsen Homescan Panel comprises the actual FMCG purchases of 15,000 participants, apportioned among more than 700 products.
Using this data as a potential source and combining it with data about surfing behaviours, it is possible to implement very precise and direct predictive targeting for product groups that would otherwise be difficult to measure.
Advertisers in the FMCG sector in particular can make use of this data to reach their target groups without difficulty, and without depending on specific environments. High efficiency, low wastage and maximal scope are guaranteed.
Christian Hillemeyer
Communications Manager
+49 (0)30 29 38 19 99 -18