What is Image Based Contextual Advertising?
In today’s online communication, photos and videos play an integral part. No wonder, the website visitor cognitively realizes images 60.000 times faster than text. In traditional publishing, these element are often excluded from advertising. However, this kind of media deliver important insights for the targeting and also make up a great eye-catching space for advertising messages.
Adpressi combines elements of in-image advertising, native advertising and transactional advertising. Our artificial intelligence (AI) based analysis technology combines three different data sources (image, website text, visitor profile) to identify and understand the real-time interest of visitors and thus that of your potential target group. Your advertising will be displayed unobtrusively within the scope of the editorial content (e.g., in images) and in the visitor’s read flow. The online ad is displayed in the context of the website so that the reader of the page perceives it cognitively and keeps your brand positively in his mind!
Benefits of in-image advertising for advertisers
Case study bunte.de
savings / site
Targeting with unprecedented accuracy
Our visual recognition software analyses the content of an image. On the one hand, we are categorizing the ad space to target customers only in relevant contexts. On the other hand, we can prevent the display of ads in undesirable contexts, like violence, erotic.
Besides the visual elements of a website, we are performing a semantic analysis of the text and apply an advertising category. Now we know the contextual relationship between the image and the text: visual content + website content = perfect categorization in real time!
The visual and semantic analysis of the website content enables extremely good and real-time targeting of unknown users, even if they access the website the very first time.
Adpressi enriches this information with a third component: behavioral targeting. We track the surf- and purchase behavior of visitors across the web and can cluster the users based on historical data. This data is anonymous, so we do not know their names, but we know about their interests, geolocation, sex, age and maybe their purchasing behavior.
Are you interested?
Get in touch with us now and let us show what we can do for you!