Paul Bannister of CafeMedia shares tips on setting up data analytics for video success
When it comes to using data to grow your video business, the numbers don’t lie. Getting to the truth, though, requires an excellent grasp of video analytics. As Paul Bannister, EVP of digital media company CafeMedia, discussed at this year’s JW Insights, knowing which data points are important and how to use them strategically is an iterative process that takes both intuition and practice. Here’s some advice he shared with us.
Be clear about what you’re measuring
As you set up your analytics, make sure to communicate why you’re making the choices you make with other stakeholders. “You have to connect the dots,” said Paul. “Why this number and not that number in measuring engagement?” By being clear about what you’re measuring, you can funnel down from macro metrics to specific KPIs.
Focus on the metrics that matter to your business
Dig deep into those metrics that actually impact or drive your business. CafeMedia, for example, prioritizes play rate over the more conventional choice of completion rate as it develops an intent-to-watch experience for its viewers. “Completion rate is tracked, but it’s not the main measure. For us, play rate is more important,” said Paul. Once you’ve drilled into a particular metric, repeat the process again until you find the one(s) that tell the most relevant story.
Sit in the viewer’s seat
If your data is revealing something unexpected or askew about your video performance, get back to basics and assess everything from the viewer’s perspective . “Go look at the video. Is the page working? User experience is everything. What the user is seeing—that will answer your question 90% of the time,” said Paul.
Understand the differences in measuring autoplay vs. click-to-play videos
By definition, autoplay videos don’t have a play rate. You will get more views, but the user experience tends to be more passive and engagement can be lower.
Click-to-play videos tend to produce a better user experience. But because viewers intended to watch a specific video, when they’re done, they may not continue onto another video, making it potentially harder to measure sustained engagement.
Extending interest means using a combination of tactics, including implementing a recommendations engine or building intriguing hooks within editorial content. (For example, a “How to Make Jambalaya” video features “roux” in the recipe. The next video in a playlist is “What Is Roux?”)
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To learn more about using data analytics to grow your video business, schedule time to speak with a video expert.