Media Dojo

Online video is huge in terms of users. Online video is more huge in terms of usage.

So where’s the money?

That seems to be a standard story line these days in both general press and on blogs. Everyone spouts off about whether online video will overtake TV, when and how. The inserted bias to these stories is that online video is a mathematical function of television, as conceived and organized by the television industry. By definition, if the image moves or is animated, it must be either film or television. But that’s a lot like benchmarking an Indy car against horse drawn carriages because both have wheels, need a road or a track, and are used by people for transportation. You can figure where the logic is leading….

So, it was a breath of fresh air for me to speak again with Sean Knapp, co-founder and CTO of Ooyala regarding a new project the video platform service provider is doing with Wheels TV and eBay Motors. For more corporate info on Ooyala, here’s the Media Dojo Tear Sheet–ooyala.

Ooyala is working with Wheels TV to market test POV (pre-owned vehicle) reviews on eBay Motors.  It’s a new, video-based consumer shopping service for people looking for pre-owned vehicles. Each five minute POV video review contains road tests, walk-arounds and data addressing reliability, safety and fuel economy information related to about 200 make/model/year automobiles for sale on the eBay Motors site.  The POV Reviews are produced in cooperation with J. D. Power and Associates.  JDPower.com’s Power Circle ratings suggest trends in overall dependability, performance and quality on every vehicle. POV reviews also include mileage estimates from the Environmental Protection Agency and crash test videos (yeah buddy!!!) from both the Insurance Institute for Highway Safety and the National Highway Transportation Safety Administration.

Naturally, viewers can share the videos across their personal networks.

Here’s some sample videos:

BMW 3 Series

Ford Mustang

Honda Pilot

The primary benefit to the buyer is that video can crunch several hours of research on the make/model of a given automobile into about five minutes. Translated, the videos give the buyer quick, effective talking points for persuading their significant other around the dinner table that it’s the JD Power *safety* rating that makes the BMW 3 Series a smart buy, rather than the kick-ass pick-up and handling, not to mention the fire-engine red color and awesome trim.

I spoke with Sean about how Ooyala is handling the video demand, especially from the viewpoint of analytics.

Media Dojo: What kind of analytics will eBay Motors get with these video streams?

Sean Knapp: They’re basically getting the full suite from us ranging from geographical breakdown, to the unique user base to how many uniques they’re getting on a daily, weekly and monthly basis. They’re also getting behavioral analytics that pinpoint which particular part of the video people watch, what’s the abandonment rate, who’s skipping ahead. Then, they can start looking across video to compare the acquisition/retention curves for the Ford Mustang versus the GMC Envoy on the site. Finally, eBay Motors is using our API to pull in data that they’ll crunch using their proprietary in-house analytics systems.

MD: Are online video analytics going the way of other digital analytics in becoming more performance-based as opposed to just exposure-based?

SK: How we monetize content isn’t based as much on the number of impressions anymore. The issue is that over the next few years there’s going to be a 10-30X increase in overall video content served even though there will be only a 2-3X increase  in the number of viewers. So what users are doing with video becomes the key metric to track as opposed to just who is being exposed to video. What video content are users accessing? How are they consuming that content? How are they responding to advertising?

MD: Granted the need for better analytics, are publishers really becoming more sophisticated about using video?

SK: On average, people are getting more sophisticated on the buy side. Publishers are looking more closely not just at how consumers are consuming their content but how the publishers are monetizing that content. Over the course of the past six to nine months, we’ve gone from supporting  2 or 3 ad networks to supporting 12-15 different ad servers and ad networks plugged in to our platform. Publishers are getting away from saying just “How do I get video into my site” more to “How do I refine the video on my site? Which knobs should I turn to get people to consume it? How do I extract value from that consumption?”

MD: Obviously, eBay Motors has a clean benchmark for monetizing the content (e.g. brokering sales). What about other sites that aren’t squarely in the e-commerce bullseye? What trends are you noticing in terms of their ability to monetize video content?

SK: In terms of monetization, there’s no silver bullet. There’s some value in a video CPM and some value in a CPC. But it all eventually falls under the umbrella of some kind of Cost Per Action. We think the better players will be those who carve up a broader publishing base into finely sliced niches against which people can advertise. Auto is a good category in which there are numerous niches for targeting that can be aggregated into a bigger media buy. But to get to that place, you’re going to need to see the larger video platforms get into closer collaboration with the larger ad networks. Everyone needs to help create a larger media buy ecosystem. To get the best exposure, brands can’t just dip into the top 100 sites of a given category, but need to get into the top 100,000 sites. This means that a lot of mid tier publishers using video will need to offer more sophisticated analytics to get that business but it’s not likely that they’re able to build that in house. That’s where the large video platforms like us come along.

MD: Last question. How much cloud computing horsepower have you added to keep up with demand since we spoke last spring?

SK: We’re seeing anywhere from 30-40% growth on the low end per month to over 100% growth in certain months. It depends on the metric you chose whether it’s GB ingested, video hours served, video users reached. We’ve been able to scale things through good partnerships with our Content Delivery Network (CDN). We also have a very good distributed computing team in house. We built our transcoding and storage applications to site on top of cloud infrastructure from day one. Today when you upload a 2hr length full movie to us, it will hit anywhere from 10-100 different encoding machines operating in parallel. We can now encode a HD quality 2hr movies substantially faster than real time by operating in parallel on cloud infrastructure.

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