YouTube 📈Analytics📉Tutorial (livestream archive)
9Have you ever wanted to understand your YouTube Analytics better? In this YouTube Analytics Tutorial, I explore a bit of how I think about YouTube analytics, and particularly the watch time reports. This includes advice I've received from the YouTube Creator Community and heard from the Creator Insider channel.
In this video, I will discuss the following YouTube analytics reports:
1) The Watch Time Report:
How much watch time are you getting per video? Do you know where your watch time is coming in terms of countries? (maybe you might want to look into subtitles or changing up your upload times if you are getting a lot of traffic from countries in other timezones.)
2) The Audience Retention Report
How often are people watching your videos? Do they drop off within the 1st 15 seconds or do they stay throughout? Do they search for specific moments of the videos and rewind or do they watch continuously?
3) The Demographics Report
How old are your subscribers? What gender are your watchers?
4) The Traffic Sources report.
How do your viewers find your videos? What does each traffic source mean and how do you optimize for those? In this part of the video, i will explain that if you are getting good traffic from Search and Suggested videos, this suggests that your YouTube SEO metadata is well optimized, and if you're getting traffic from Browse Features, you'll want to dig deeper...browse features includes both the subscriptions tab (which will be driven by your subscribers) and the Home tab, which can result in rapid viewership from nonsubscribers, but is very tricky to land on -- after all, youtube likes to promote videos with a good watch time velocity.
5) Devices
YouTube believes that mobile is the future. Currently, it notes that 60% of watch time on the site is from mobile devices. How does this look for you? Are you tracking closely with the overall traffic, or does more of your traffic come from desktop than mobile?
I'll also explain how you can make groups for different types of videos (for example, maybe your audience retention average is very different for a certain type of video series and that is affecting your overall analytics in a way that makes it confusing to see the true data trends) and then do a series of comparisons for different groups and different demographics. For example, do your non-subscribers find the same videos interesting as your subscribers do? You may be surprised to find out that your subscribers may be watching from different devices, enjoying different videos than the non-subscribers, and finding your videos from different sources than your subscribers are.
I hope that you will come to appreciate the YouTube analytics as much as I do!
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