YouTube Related and Recommended Videos Now Based on Time Watched

YouTube starting next week is rolling out changes to its Related and Recommended Videos, which will now be based on "time watched," announcing the changes YouTube said, "To make the videos you watch on YouTube more enjoyable, memorable, and sharable, we're updating our Related and Recommended videos to better serve videos that keep viewers entertained.""For […]

YouTube starting next week is rolling out changes to its Related and Recommended Videos, which will now be based on "time watched," announcing the changes YouTube said, "To make the videos you watch on YouTube more enjoyable, memorable, and sharable, we're updating our Related and Recommended videos to better serve videos that keep viewers entertained."

"For years, the Related and Recommended videos we served to the right of the player and on the homepage represented our best prediction of what people wanted to watch next. Today, this system serves videos based on the number of clicks they receive, which would be like suggesting a TV show based on how many people briefly flipped on a channel while surfing. But clicks aren't always the best way to predict whether you'll be interested in a video. Sometimes thumbnails don't paint the whole picture, or a video title isn't descriptive."

"We've now discovered that time watched is one of the best indicators of a viewer's engagement. As a result, we'll be focusing more prominently on time watched in providing Related and Recommended videos starting next week," YouTube informs. "While we'll still be looking at clicks, engagement will become the leading indicator for serving these videos."

So, if you're making videos that keep people engaged, Related and Recommended videos will begin showing your videos more prominently. On the flip side, videos that don't will not be surfaced as prominently, which'll impact a video's viewcounts over time, YouTube said.

To help you, we have an Analytics Audience Retention Report, a list of best practices, and answers to frequently-asked questions to find ways ranging from content to programming.