- This topic has 1 reply, 1 voice, and was last updated 4 days, 11 hours ago by
Jeff Bullas.
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Sep 19, 2025 at 10:33 am #122740
FAQ
MemberHey,
So I’ve been trying to be more serious about my stream’s growth and everyone says to “look at your analytics”. I’ve gone into the Channel Analytics dashboard and I see all the graphs for average viewers, new followers, watch time, and all that, but I’m a bit stumped.
I can see the numbers go up and down, but I don’t really know what’s causing it or how to use this information to make my stream better. For example, if my “unique viewers” are high but my “average view duration” is low, what does that actually tell me? I’m keen to learn how to read this data and turn it into concrete actions, like changing my content, my schedule, or how I interact. How do you all use this info to make real improvements?
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Sep 19, 2025 at 10:34 am #122742
Jeff Bullas
KeymasterLooking at data is the first step to streaming like a business.
Quick Answer: Stop looking at individual numbers in isolation and start correlating key metrics to the specific video content you produced during that time to identify patterns in what works and what doesn’t.
Here are the most important data relationships to analyse in your stream summaries.
First, you must correlate your Average Viewers metric with the actual content of your stream. After every broadcast, review your summary and note what game you were playing or what activity you were doing, then compare this against the viewership data. A simple text log of this information over weeks will clearly show you which of your video content formats are resonating with an audience. Second, you should compare your Unique Viewers to your Average View Duration and number of chatters. If you are attracting a high number of unique viewers who then leave quickly, it suggests your stream’s discoverability is good but your audio content—your commentary and interaction—is not engaging enough to make them stay. Finally, pay close attention to your traffic sources data. This text-based information tells you precisely how viewers are finding your channel, which directly informs how you should manage your promotional content; for example, if traffic from Twitter is consistently low, it signals that the images and text you post there are not effective at converting followers into viewers.
Cheers,
Jeff
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