U.S. election news is trending. What else is trending these days? Live streaming.
Look at the streaming numbers for the first presidential debate on Sep 28. It attracted 2 million live concurrent viewers on YouTube alone. To put it in context, it had 14x larger viewership and 4x more peak concurrent viewers compared to the 2014 debate.
Live streaming is growing as broadcasters and publishers realize that creating and streaming live content gives them new ways to differentiate, to engage and grow their audiences.
But it’s important to monitor the effectiveness of the investments in live streaming to develop the best strategies to stay ahead in the live game.
Understanding viewers is crucial
What are some of the important metrics to monitor when you stream live content? Understanding viewer behavior like: Where are viewers watching from? On what devices? What content is working vs. not working? All are important metrics for both VOD and Live content. In addition to these, knowing how many concurrent viewers over time and peak concurrent viewers there are is of particular interest for live streaming. Understanding when users connect and disconnect helps you plan your ad breaks, when to add interactivity for more engagement and helps you plan content strategy.
With the latest update in Ooyala IQ, you can see a timeline of concurrent users watching your stream at every one-minute interval. This gives you an engagement report that shows when viewers started and stopped watching your live stream or a VOD asset.
The best part is that with IQ, you can analyze this historically as well. You can go back in time and check how viewership changed for a live stream or a VOD asset at one-minute intervals.
For example, for a live streaming of fashion show, you can see how viewership changed for different designers/models in the past so you can better plan for an upcoming show. For more information, see the release notes.
Ooyala IQ is Ooyala’s award-winning video analytics on any player, CMS or device that gives you a 360 degree view of audience behaviour and content consumption with power multi-dimensional analyses.