NEW in YouTube Analytics: Impressions for New & Returning Viewers
Hi there! We're kicking off with some interesting updates from YouTube.
Transcript
Hey there! We’ve got some exciting updates from YouTube to kick things off. Let’s start with Live Reactions—some love them, some hate them. Personally, I find them a bit distracting, but they’re getting analytics now. This means that if you still use Live Reactions and they haven’t taken over your entire chat, you can now see which analytics wheel was used and where there were a lot of Live Reactions during your stream. I think this is a useful addition if you do use Live Reactions and haven’t disabled them yet, as they’re due for an overhaul.
Staying with analytics, let’s move on to new vs. returning viewers. Now, impressions can be segmented by these two categories, which I find super interesting. My channel doesn’t have this feature yet, but you can check your analytics to see if it’s available for you and maybe draw some conclusions: Do your thumbnails perform better with subscribers or new viewers? You might be able to say, “We’re getting a lot of views or impressions from new viewers, but the thumbnails could be better.” Maybe it’s time to adjust them. I’d love to hear your thoughts on this in the comments! I’m curious to see how this develops.
Next up, we have several updates in the live streaming space. Let’s start with Super Chats: Super Chat likes are now fully rolled out. This means that if you use Super Chats, they can now be liked both in your chats and in Super Chat threads (replies to Super Chats). This feature will be implemented from mid-April to early May. I’m keen to hear what you think about this. Do you use Super Chats? Do you stream a lot on YouTube and enjoy this feature? Share your thoughts with me in the comments!
Still on live streaming, there are significant improvements in latency. An experiment is currently being tested in Korea, aiming to reduce latency in Ultra Low Latency by up to 30%. This means that if we previously had a one-second delay, we now have 0.6 seconds. It might not seem like much, but it’s moving closer to normal latency, which typically ranges between 20 and 30 seconds. I’m curious to see when and if this experiment expands to other markets. I assume it will, and I suspect these experiments will continue to try and squeeze out a few more percentage points. Let me know what you think about this as well!
Catch you all next week for another update. Until then, take care and keep grinding!
