YouTube’s promotional algorithms have changed drastically over the years. In the beginning, the algorithm was largely reliant on metrics that were easily manipulated, like views, clicks, likes, and comments. And the goal was primarily to drive more views.
In 2013 that changed in a big way. YouTube shifted the primary goal of its algorithm to reward “Watch Time”, or time spent on the YouTube platform.
In a previous study here on Tubefilter, we discussed what metrics YouTube considered on the publisher side to calculate Watch Time. We then wrote a follow up article last year in June, “Reverse Engineering The YouTube Algorithm (Part I)
,” which shared a number of insights we found in determining the metrics that drive Watch Time. Then, in the fall of 2016, Google released a white paper, “Deep Neural Networks for YouTube Recommendations,” which lead to Reverse Engineering The YouTube Algorithm (Part II), further shedding light on what powers the YouTube algorithm.Now, we’re thrilled to share with you our latest research into the YouTube promotional algorithms in our presentation, “Cracking YouTube in 2017.”
Some of the big highlights from the presentation include:
But that’s not all! You can check out the entire presentation, replete with interesting data points and tangible takeaways, right here:
You can read more of Matt’s articles on Tubefilter here, and follow Matt on Twitter.
The dispute between TikTok and the United States government is headed to the courts (again). After…
Adams started streaming in 2018, and he quickly rose up the ranks through a brash…
MrBeast continues to show us that he's in a league of his own as far as…
Issa Rae's new company wants to hook up creators and brands for "deeper relationships" beyond…
MrBeast is reportedly ending his exclusive relationship with management company Night. Two people familiar with…
Peloton is dismissing a chunk of its workforce, including its top executive. Barry McCarthy announced that he is…