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How Video Ad Industry can leverage Contextual Targeting

As ad industry is dynamic, any technology gets old soon with disruptive changes it begins to gain grounds in the market. The same is with contextual targeting that has been enhancing the industry being a smart solution. Here an advanced page level approach to content classification is utilized. It does not follow the previous classifications of categories or channels. The process leverage a precise and comprehensive understanding of page text content to place the on-page video ad. Thus, it is natural for audience to engage with such video content as they come out as relevant for audience. Such ads increase the probability of customers to interact with the brand.
The underlining technology used in contextual targeting is real-time statistical-machine-learning-technology. This offers an accurate understanding of reader’s interest. Contextual videos are placed in a particular webpage with user profile, that has better probability of interaction with the ad. The user profiles are built based on their online interest. Thus, contextual videos can get the most of video ads.
The primary way of using contextual video is to replace keywords. Until now, keywords were the prime method to understand a piece of content in the online platform. However, they have a critical limitation, which makes them not adequate to understand the actual context of the content. For example, there might be keywords like “technology” in an article, but the context in which the content is written may be Real Estate, while, there may be very little number of times the words appear in the article.

To eradicate this issue, the keywords are replaced with semantic technology. This helps to understand the actual meaning of the content by following the test word to word in sentences. It is similar to reading or listening. There are some breakthroughs in the industry that has taken this technology into next level. Some industry players are also coming up with Natural Language Processing and cognitive technology. Neural networks and artificial intelligence are also being leveraged in this field.
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