Globally Distributed Content Delivery
IEEE Internet Computing
The Akamai network: a platform for high-performance internet applications
ACM SIGOPS Operating Systems Review
Causal discovery in social media using quasi-experimental designs
Proceedings of the First Workshop on Social Media Analytics
Understanding the impact of video quality on user engagement
Proceedings of the ACM SIGCOMM 2011 conference
A case for a coordinated internet video control plane
Proceedings of the ACM SIGCOMM 2012 conference on Applications, technologies, architectures, and protocols for computer communication
Video stream quality impacts viewer behavior: inferring causality using quasi-experimental designs
Proceedings of the 2012 ACM conference on Internet measurement conference
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Online video is the killer application of the Internet. Videos are expected to constitute more than 85% of the traffic on the consumer Internet within the next few years. However, a vexing problem for video providers is how to monetize their online videos. A popular monetization model pursued by many major video providers is inserting ads that play in-stream with the video that is being watched. Our work represents the first rigorous scientific study of the key factors that determine the effectiveness of video ads as measured by their completion and abandonment rates. We collect and analyze a large set of anonymized traces from Akamai's video delivery network consisting of about 65 million unique viewers watching 362 million videos and 257 million ads from 33 video providers around the world. Using novel quasi-experimental techniques, we show that an ad is 18.1% more likely to complete when placed as a mid-roll than as a pre-roll, and 14.3% more likely to complete when placed as pre-roll than as a post-roll. Next, we show that completion rate of an ad decreases with increasing ad length. A 15-second ad is 2.9% more likely to complete than a 20-second ad, which in turn is 3.9% more likely to complete than a 30-second ad. Further, we show the ad completion rate is influenced by the video in which the ad is placed. An ad placed in long-form videos such as movies and TV episodes is 4.2% more likely to complete than the same ad placed in short-form video such as news clips. Finally, we show that about one-third of the viewers who abandon leave in the first quarter of the ad, while about two-thirds leave at the half-way point in the ad.Our work represents a first step towards scientifically understanding video ads and viewer behavior. Such understanding is crucial for the long-term viability of online videos and the future evolution of the Internet.