Want to better understand how YouTube systems work and how to use them to optimize the performance of your content?
YouTube’s Rachel Alves has shared a new video on the Creator Insider channel, which sees Alves, who works on YouTube’s recommendation system, answer some key questions from creators about its algorithms, highlight clips for viewers and how you can work with the process to improve your reach. and retention.
Here is a summary of the questions and answers:
What is the best publishing strategy to optimize channel performance?
Alves says YouTube’s algorithms don’t optimize based on the number of videos a channel uploads (and never have), so there’s no specific posting cadence that will work best to maximize. your performance.
However, YouTube optimizes recommendations for users based on how often they return to your channel:
“So of course, the more a viewer watches your channel content, especially on a regular basis, the more your videos are likely to be recommended.
As such, Alves recommends building for the long haul, focusing on your content, rather than aiming for a specific number of downloads per day or week.
Is it a bad strategy to create content related to trending searches, due to the increased number of competing videos in these search results?
Alves says that while there’s definitely more competition for attention for trending content, it also means there’s increased viewer demand for videos related to those topics.
“If you think you can create something new, more entertaining, informative, or have a unique take on a topic where you think your content is going to stand out, and be differentiated among all other content on the internet, go for that.”
Alves notes, however, that tapping into trends isn’t usually a long-term strategy, because the viewers you attract based on trends are likely less likely to stick around when you change the subject again.
Is experimenting with new topics hurting your channel’s performance?
Alves says YouTube’s systems try to match viewers with individual videos they’re most likely to watch, so experimenting with new topics shouldn’t hurt performance, in an algorithmic recommendation sense.
Although, as noted in the previous answer, changing focus can be a challenge for retention:
“If you’re experimenting and you start developing audiences that are totally separate from each other – let’s say you make soup recipe videos and then you have a bunch of origami tutorial stuff – maybe you might want to split them into separate channels, less for our discovery systems, but more just to help viewers so they don’t have content in places like their subscriber’s feed that isn’t what they originally signed up to watch.
Does removing offensive or problematic comments impact video performance?
YouTube video performance often correlates with the number of comments – i.e. you generate more comments and you are likely to see increased video reach. So the question is, if you have a lot of comments, could deleting problematic comments actually reduce your upload reach?
Alves says YouTube’s algorithms optimize engagement with the video itself, so comment specifically:
“If you have fewer comments, it won’t hurt your video’s performance. So yes, remove them if you want.
An interesting note on overall engagement and performance.
If you’re a YouTube creator, it’s worth watching the clip to better understand key best practices and processes, and how YouTube’s systems optimize performance.