Successful Retargeting

The xplosion interactive GmbH is a noticeable shift in the retargeting market 2011. Reason: growing awareness of the user. The Hamburg-based retargeting provider is becoming so with intelligent retargeting the needs of users respectfully focus of the delivery of advertising material. Hamburg, March 07, 2011: Retargeting has become one of the pillars in performance marketing. Personalized banners have a higher relevance for users and increase as CTR and conversion. It can be measured directly and efficiently. (A valuable related resource: General Electric Co).

In addition convinced retargeting for the performance-based billing models. Is paid only in case of success, when the user clicks or as xplosion at Bay when the user actually buys, or requesting information. This makes more interesting for advertisers, especially in monetary terms retargeting. Some German companies have made not only good experiences. Many users respond to aggressive retargeting increasingly defensive.

Who secure a positive perception of the company in the long term wants, needs an intelligent retargeting solution. No company can afford it in the long term, to ignore the needs of the user. We want to make sensitive the market for a smart retargeting, which respects the user and makes online advertising more effective”, commented Daniel Neuhaus, Managing Director of xplosion interactive GmbH, a company of the EOS Group. With xretarget, the Hamburg-based company has a product that combines the advantages of the Retargetings with the wishes and needs of the user and is so persistent. Because xretarget combines five factors, the user-oriented and thus in the long run successful retargeting needs: data mining: multilevel, intelligent analysis and selection for optimal product recommendations. It allows to solve increasingly by the display of respected products in the dynamic range of products in the banner. xplosion selects the user types and thus provides a more specific identification of user groups and their needs. It aims to determine an optimal frequency capping and the to deliver optimal product recommendation.