YouTube recently released an informative video that dispels common myths and creator misconceptions about how YouTube’s recommendation algorithm works.
The 12-minute video features Todd Beaupré, who leads YouTube’s growth and discovery team, interviewed by YouTube creator Renee Richie’s link.
Here are the highlights of the discussion.
Understand the algorithm approach
In the video, YouTube addresses a misunderstanding about how different video types affect a channel’s performance.
YouTube’s recommendation algorithm focuses on evaluating each video individually rather than averaging the performance of a channel’s videos.
Beaupré explained: “For the most part, Discovery’s algorithm is more focused on individual videos.”
This approach allows the algorithm to provide users with a more personalized viewing experience.
It also gives creators the flexibility to try different video formats without worrying that it will negatively affect their channel’s position in algorithmic recommendations.
To that end, Beaupré says that one video’s poor performance won’t irreversibly affect a channel’s overall success.
“If your last video wasn’t so great and your next one is great, we want to realize the potential of each video,” he said.
The algorithm serves the viewers, not the videos
Beaupré discussed a prevailing assumption among content creators about YouTube’s recommendation algorithm.
“A lot of creators think YouTube is streaming videos to a bunch of people, but it’s actually more the other way around.”
He explained that the algorithm generates video recommendations when a user accesses YouTube, with the intention of showing videos that align with that specific user’s viewing history and preferences.
No “Penalty Box” for creators
The discussion addressed concerns that channels may be penalized by the algorithm for taking breaks or having decreased views.
Beaupré explained that the algorithm is designed to match each video with its most interested potential audience without relying too heavily on punitive measures or giving too much weight to past view data.
“We aim not to overemphasize historical data if that data is not particularly predictive of future video performance,” Beaupré said, debunking the myth of a “Penalty Box” recommendation.
Content longevity and adaptability
YouTube advises creators not to focus exclusively on analyzing newly uploaded videos, as recommendations are not limited to recent content.
Beaupré noted that videos can gain traction if interest is renewed or trends change, so creators should remain open to opportunities beyond immediate metrics.
Following the hearing
When discussing the balance between creator-led content and audience preferences, Beaupré cited the rise of YouTube Shorts as an example of the platform’s response to audience behavior.
He said: “YouTube is focusing on shorts because the audience has left us,” explaining that audience demand for more efficient and engaging content has driven the direction of the platform.
Performance analysis
Beaupré suggested looking at how subscribed viewers react to videos in their subscription feed to better understand how videos are performing.
This data can provide insight into whether content or packaging issues have affected performance.
He added, “Sometimes it’s hard to understand why some things succeed when similar things don’t,” acknowledging the unpredictable nature of viewer preferences.
Conclusion
After watching this interview, the takeaway for creators is that YouTube’s algorithm is not designed to get them. It tries to get the right videos to the right people at the right time.
If a video doesn’t take off right away, don’t pass it up. The algorithm will continue to work to find your audience. And creators need to keep working to make content viewers want to watch.
The algorithm adapts to what viewers want to see, not the other way around. So study your audience, see what’s trending in your niche, and give people more of what they want if you want to beat the competition.
YouTube is powered by people’s passions. The algorithm helps align these passions between creators and viewers. Keep posting, keep improving, and the algorithm will keep spreading.
Frequently asked questions
How does YouTube’s recommendation algorithm evaluate video content?
YouTube’s recommendation algorithm evaluates individual video content rather than looking at the channel’s overall video average. Here are some vital factors that the algorithm takes into account:
Personalized viewing experience: Each video is evaluated for its potential to deliver content tailored to the user’s individual preferences. Content flexibility: Creators can experiment with different video formats without worrying about negatively affecting their channel’s algorithmic standing. Non-punitive measures: Poor performance of a video does not irreversibly affect the success of a channel, allowing the potential of each new video to be realized independently.
Is there a “penalty box” for YouTube content creators?
No, there is no “Penalty Box” for content creators on YouTube. Todd Beaupré clarifies this in his discussion, underlining several aspects:
Algorithm design: YouTube’s algorithm aims to match videos with viewers with the highest potential interest rather than punishing channels for inactive periods or reduced views. Historical data: The algorithm does not place too much emphasis on past performance data if it is not predictive of the video’s future success. Adaptability of content: Recommendations are not limited to newly uploaded content, as videos could gain prominence if interest is renewed or trends change.
What is the best approach for creators to improve video performance on YouTube?
Creators can improve video performance on YouTube by strategically focusing on audience analytics and content appeal. Todd Beaupré recommends these practices:
Analyze the interactions of subscribed viewers within their subscription feed to measure the success of your content. Create content that fits the preferences and trends of viewers within the niche to effectively respond to audience demands. Consistency and improvement: Continue to produce and refine content as the algorithm connects creators with their target audience.
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