蜜豆视频

Transcript

Hello, this is Jacob Draper with 蜜豆视频 Product Management. and I鈥檓 going to show off a new panel that we鈥檝e created for our media customers, which is the Media Playback Time Spent panel. And we鈥檙e introducing a new metric. And also, have some new features that you鈥檒l find sprinkled throughout Analysis workspace. Okay, so this is the Media Playback Time Spent panel. I mentioned the new metric, Playback Time Spent. That gives you the total minutes viewed within your selected granularity. And that includes pause, buffer, and time to start. I mentioned some new granularities earlier. We鈥檙e including five, 15 and 30 minute granularities, which we haven鈥檛 had before. We鈥檙e going to keep it here on minute, for this example. And then what we鈥檙e going to do with this demo data, is we鈥檙e going to look at some data for a fake football game. What you鈥檒l notice here, in the time picker, is this new Advanced Settings tab, that shows a start and an end time. What this enables you to do is to show less than 24 hours at a time. Which is really great for this example of a football game, because we only want to show the pre-game, the football game and the post game. So that, in our example, is going to go until 4:59 p.m. So I鈥檝e selected only from 12:00 to 4:59, that that鈥檒l show those full five hours there. And we鈥檙e going to apply that to our panel. Now we鈥檙e going to add all of our summary numbers here. And I mentioned including a pre, post and actual game. We have that now in our new date ranges time picker as well. So what you can do, like I said, is very similar to what you saw before. You can create these smaller chunks of time to represent your pre-game, game and post game. Or whatever you might want to be representing in your graph. And you can create those as little segments. And I鈥檓 going to show you some of the ones we鈥檝e pre-baked, much like a cooking show. Here, we have our pre-baked date ranges. Which you鈥檒l notice, start at noon and go through time. We had a prompt start time at 1:00 p.m of our football game, and it ended at 4:21. And then we had our post-game run a little bit later, until five o鈥檆lock. So we鈥檙e going to pull those over here, onto our series breakdown. What you鈥檒l notice, as I add this second breakdown, is that we have a new date sequence display toggle show up. What that does, is you can show your data as an overlay. Meaning you want them to start basically at zero, and somewhat stack over each other. Or for hours, where we have these periods lining up exactly sequentially. We want to pick our sequential date sequence display, which is really cool. And will show these different time segments that we鈥檝e created in their proper sequence on the graph. Then you can also mess around here with your time format. We鈥檙e going to build this now. So the graph is built, and you鈥檒l see that we have our three different segments denoted here by these different colors. Again, in our fake football pre-game, we have building anticipation as more and more viewers tune in. Then the football game, and it seems to have been pretty exciting as it builds all the way to the end. Where maybe your team, or unfortunately the other team, kicked the game-winning field goal. And then you see the viewership kind of drop as we head out to the post-game. You can see how this would be helpful for football. You could use this for any sort of media application that might be useful, where you need to get your playback time spent for content decisions or troubleshooting or any technical thing that you might be using it for. Continuing down here on the graph, you can see our max, min and sums, in hours, minutes, and seconds. And that includes across all of these portions. So that is our new Media Playback Time Spent panel, hopefully that you鈥檒l find is helpful. And please reach out if you have any feedback or any questions about how you might use this to better understand your viewership, thanks. -