Contextual Targeting Boosts Ad Relevance,
User Engagement and Campaign Performance
Contextual targeting offers a smart and powerful way to advertisers for promoting brands and their products, while to publishers, it offers an effective way for monetizing their content. In the era of online privacy regulations and cookie-less advertising, industry experts predict it to become the mainstream advertising approach.
Contextual targeting involves placement of those ads that are in line with the context of the content the user is engaging with. Whether an ad is placed against a video or textual content, if it is in context to what a user is watching or reading, he/she finds it relevant, less annoying, and more appealing to see it or click it.
Traditionally, contextual advertising is practiced by placing ads on the basis of keywords and topics. But this approach has its own shortcomings, for example, keywords cannot fully reflect the users’ current state of mind. Keyword-based contextual advertising often results in sub-optimal campaigns.
Using artificial intelligence for contextual targeting
offers far better results in comparison to conventional keyword-based ad
targeting. This is because AI advertising does not follow the keyword-based
approach, but rather uses machine learning and computer vision to identify
contexts in content, and then serve the ads that are contextually relevant.
Thus, contextual targeting using artificial intelligence advertising
technology boosts the relevance factor in ad targeting.
Video is becoming the most sought-after content on the internet. For
marketers, video advertising is becoming one of the most effective ways
to reach consumers. Computer vision powered in-video contextual advertising has
emerged as the most effective and safe way to promote brands and their products
by leveraging the popularity and reach of online video content
Computer vision powered in-video contextualadvertising works by identifying contexts in videos such as faces, emotions,
objects, logos, scenes and activities. Relevant ads are served that are in line
with the detected contexts, thus making the ads more engaging to the users of
online video platforms such as YouTube.
Research has shown significantly positive impact of the
contextual video advertising on the performance of ad campaigns in comparison
to displaying ads irrespective of the context of the video content being
watched.
Contextual in-video advertising offers significant
benefits over non-contextual video advertising including the following -
· When
contextually relevant in-video ad is served, the ad receives higher attention
from users in comparison to random ads. The chances of user interaction with
the ad increases.
Contextual
advertising enhances a brand’s outreach, awareness and perception. A brand’s image
improves in terms of quality, value for money, and appeal. Users find the brand
to be more reliable and authentic.
· By
displaying contextually relevant in-video ads, which are more engaging and less
annoying than random ads, the perception of the websites or online video
platforms that host videos also improves in the minds of users.
· Brands
are able to convert more people into customers, sales increase, and return on
investment (ROI) gets boosted.
Contextual advertising dramatically increases user
engagement and reach for brands by serving consumers ads that are relevant to
the content they are engaging with. Overall, contextual targeting is
beneficial for all - brands, agencies, publishers, and consumers.
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