Kontera provides In-Text advertising solution for publishers.

ContentLinks are contextually relevant keywords discovered in real time on a publisher’s web page that are automatically turned into a link to the most relevant and highest paying text ad from one of Kontera’s thousands of advertisers.

What ContentLink can do for you? Kontera’s ContentLink In-Text Advertising solution lets you monetize your content in real-time, enabling an incremental increase in ad revenue by providing a new source of untapped ad inventory that does not compete with the other ad programs running on the site. ContentLink also creates a valuable user experience by serving relevant and informational ads that match the user’s interest and frame of mind.

How Kontera’s contextual analysis engine works:

Extraction: A typical analysis process begins by extracting all the relevant page content and attributes, including: text, HTML properties, location on a page, URL, Title, Meta tags, custom meta tags, etc. Every such attribute conveys a specific weight to the algorithms that analyzes the data.

Discovery: The extracted data is then scanned through the discovery process in relationship to the proprietary taxonomy and via a dynamic part-of-speech analysis to identify keyword relationships and significance.

Classification: The page and its best matching keywords are classified with their best matching topics, and both keywords and topics are scored for relevancy.

Ranking: The resulting output of keywords and topics are then ranked, based not only on keyword and topic relevancy but on other parameters also, such as: topic and keyword conversion rate and clickthrough rate, advertisement CTR and conversion; and revenue potential.

Self-Learning Optimization: The self-learning and tuning module automatically performs yield management and optimization based on real time user reactions to specific keywords, topics, and ads as they relate to specific web pages and topics. In-Text Ad impressions are then re-distributed in order to assign more impressions to the terms that are performing better.

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