What is In-Text Link Technology?
SearchForecast In-Text Advertising solution ensures higher relevancy and quality for keyword matched to advertisements. How SearchForecast’s contextual relevancy analysis engine works:

Page Relevancy Crawl: Relevant identifiers such as body copy, content, source code identifiers, Keywords in URLs, Title/Description and Keyword Meta tags are collected and weighted . Every such attribute conveys a specific weight to the algorithms that analyzes the data.

Contextualize to Vertical Industries: The crawled information is then contextualized using Natural Language Processing to determine which vertical industries to contextualize the phrases selected. For instance, the word park is contextualized as either "car park" or a "public park".

Keywords equals Context not Price: Unlike other advertising providers, keywords are chosen on context, not the highest price. Feed bid amounts are not factored into phrase selection as our primary objective is integrity of quality. When keywords are ranked on conversions and clickthrough rates alone, they often lose relevancy and effect our clients brands.

Feed Optimization: Our specialists are constantly optimizing the "blend" of advertisements which are being matched against keywords on the page. This is done offline to ensure that the relevancy engine is not compromised by commercial interests of advertisers.

Monthly Indexation: Pages are re-indexed monthly, so the phrases linked change along with interest in the social media.

Keyword Display: Only a maximum of 25 keywords are highlighted per page. This ensures that there is no more than 10% density of keywords per page, upholding the user experience on our publisher websites.