Dynamic ad insertion technology has revolutionized the concept of advertising and elevated it to a whole new level. The newest social media platform to incorporate dynamic ads is Facebook- the social media giant has added a new feature ‘Dynamic Ads for Streaming’, which is designed to help video streaming brands showcase relevant titles to people on Facebook, in order to entice new sign-ups based on their interests.
What are Dynamic Ads?
Dynamic Ad Insertion (DAI) is a server-side video ad technology that serves video ads into live linear programming and video on demand content. It’s a technology of stitching your video content and ads into a single stream and removing the ad request and ad response process from the SDK. With dynamic ad insertion, the possibility of client-side errors are reduced and produces a seamless TV-like experience without latency or buffering issues between content and ads.
How can Users Benefit from Dynamic Ads?
With Facebook launching Dynamic Ads for Streaming, users can swipe through the ad to see personalized, relevant titles they might be interested in, based on interests they’ve shown on Facebook and Instagram. Audiences can also follow your call to action to start a trial or subscribe.
Before Dynamic Ads for Streaming, an advertiser had to promote each media title separately. Now, advertisers can automatically generate unique ads for every title, without having to configure individual ads. So basically, the advertisers will only have to upload their content catalog to Facebook once and the dynamic ads will deliver personalized recommendations to viewers based on their interests.
Wrapping up,
Facebook’s Dynamic Ad tools have become increasingly responsive, with the system now better equipped to individual interests, enabling the social media giant to help marketers target users based on their things of interest.
My take? Since it’s an automated process, the additional targeting efforts of the ad set-up process can be ousted and the entire process can produce strong results based on system learning.
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