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Facebook Enhances Algorithm to Deliver More Video Content

Last year, Facebook changed its algorithm to favor video content in an effort to gain market share in the very popular video content market. In fact, it’s done such a good job that daily video views increased by 400 percent – a huge rise over its September, 2014 numbers of 1 billion per day,  to an incredible 4 billion per day. That’s a significant rise in less than a year.

 

Now, as a further enhancement, at the end of June, 2015, Facebook announced that it is again making tweaks to its algorithm so as to better identify the types of video content its users want. In the past, Facebook’s algorithm tracked the types of content that each individual user liked, and subsequently delivered more of that type of content. For example, users that interacted with photo content the most would be delivered more photo content. And the same for video. However, it always necessitated action on the part of the user. Whether that action materialized as a like, share or comment, Facebook’s algorithm noted that and factored that into the content type it delivered to that person.

 

In a recent blog article, Facebook shared, “There are many times people don’t want to like, comment on, or share a post, but this does not mean it wasn’t meaningful to them. In an effort to capture that meaningful content without actionable engagement, Facebook is now taking into account more interactions with videos that we have learned indicate whether someone found that video interesting, such as choosing to turn on sound, making the video full screen, and enabling high definition. So, if you turn the volume up, or make the video full screen, we have updated News Feed to infer you liked the video and will show you similar videos higher up in your News Feed. We have found that this helps us show people more videos that they are interested in.”

 

This comes on the heels of another significant algorithm change that was also made in June, 2015, whereby Facebook started to track how long a user lingered on a video in their Newsfeed. Facebook began using this as an indicator of relevance to that user and factored this in as an indication of interest.

 

From a video marketing perspective, this algorithm now enables auto dealers to see increased reach for their videos from consumers that watched them, but took no further action. Chances are, if a consumer is watching your video on Facebook – whether they are interacting with it or not – they are pretty low down the funnel. Facebook’s new algorithm will take note that they lingered on your video, interpret that as interest, and increase the priority as far as delivering similar content to that user.

 

Facebook knows that its popularity hinges on finding the right balance between satisfying its advertisers and delivering the types of content its users want to see. By continuing to tweak its algorithm, Facebook can more successfully deliver interesting and relevant content to individual users, providing a better overall customer experience and increased opportunities for video marketers to reach relevant consumers.

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Tags: algorithm, automotive, content, dealership, facebook, marketing, media, news, newsfeed, reach, More…social, video

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Comment by Alexander Lau on July 21, 2015 at 10:02am

Facebook organic reach is dead as a door knob, this is just a ploy for them to serve more content and charge for it.

The biggest question... Are they going to continuously be content Nazi's with their stupid 20% textual policies or allow for artistic freedom on the ads? Don't forget, this is also a ploy to allow for more corporate dollars to flow through their system, by telling the public, "hey, our system now allows you to target those that skimmed over your videos!" Wow, how very ground breaking of you Zuckerberg? You mean you ONLY NOW have the ability (everyone does outside of their platform from a metrics analysis standpoint, using a plethora of analytics tools and I do not mean Google Analytics, but you can use GA) to measure interest on any form of media through tagging or passive analytics (preferred).

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