YouTube tried to answer some common questions about how his algorithm for the allocation of users to specific content, and why your video metrics do not always reflect the performance.
In the new video channel Creator Insider managers YouTube Patricia products and Rachel specifically talk about the impact click-through rate (CTR) and average view duration (AVD), as well as about how YouTube algorithm takes into account their distribution and video performance.
YouTube recently unveiled its upcoming analytical review, which will show the authors of their average CTR and the AVD, helping to better understand how their content.
But as YouTube says it is not always significant – in the first place, the managers discuss the differences that may occur when the video with a low CTR continues to have high views.
Index clicks – a very difficult figure to understand. Thus, for many authors, if you look back at the most successful video, video with the most views have the lowest probability that the click-through rate will be the lowest.
YouTube explains that this is due to the fact that video with wide distribution, in the end, shows a much wider audience, and that means that your content will be shown a much greater number of people who are less familiar with you and your work. This inevitably means that your CTR is lower. So in a sense, it is a consequence of success – the wider your distribution, depending on the performance of your video, the lower your CTR.
On the other hand, some of your small videos that were shown to a small indeed relevant target audience, are most likely to click, so they can have a very high click-through rate.
So it makes sense the difference between the performances when your CTR is low for the high-performance clip, even if the data points seem to tend to correlate.
But this can hinder the measurement of your overall performance or even keep track of relevant trends. In this regard, YouTube recommends that the creators took into account all available metrics, including these new ideas to get better comparative performance – that is, if one metric seems wrong, the other is better to qualify.
YouTube also allows authors concerns about the impact of lower average viewing time because of external links, which could affect the scope and spread of the algorithm.
In other words, both the detection surface in different ways to decide which videos to show users – which, of course, makes sense since your recommendations Home will be based on the overall browsing history, and your list of “Next” will be influenced by what you have just reviewed.
YouTube also said that he is working on new tools to provide a better understanding and help the creators to maximize your video views. As already noted, the thumbnail test A / B – this is one element that will provide more specific information about how your thumbnail attract attention (or not), while YouTube is also seeking to add a new comparison tool for CTR and the AVD, which will show how your channel is working with these elements when compared with other channels, similar to yours. It will be similar to the comparison page effectiveness of the tools available on Facebook or LinkedIn.
There are some interesting and valuable, although technical ideas that relate to some of the major problems YouTube algorithm. If you are trying to understand why your clips on YouTube are working or not, these notes may help to better contextualize YouTube internal processes.
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