Ecco il SEGRETO dell'ALGORITMO di Youtube!

Summary

The video script reveals insights into YouTube's recommendation algorithm through an interview with Todd Bpre, who manages suggested videos on YouTube's homepage. Contrary to common belief, the algorithm operates more on a per-video basis rather than channel-wide, meaning a single viral video won't ruin a channel's performance. It encourages creators to experiment without fear of damaging their channel's consistency. The script also advises against deleting older videos, as they don't negatively impact new video performance. It emphasizes the importance of specialization and community trust, suggesting that a well-crafted video in a creator's niche has a higher chance of success. Additionally, it explains that low impressions may not mean YouTube isn't promoting the video, but rather the right audience hasn't engaged yet. The script concludes by highlighting that recommended videos aren't limited to recent content, and that older videos can gain traction when interest in the topic resurfaces.

Takeaways

• 😀 YouTube's algorithm operates more on a per-video basis rather than a channel-wide basis, meaning a single video's success does not necessarily impact the channel's overall performance.
• 🔍 Creators are encouraged to experiment with different content on their channels without fear of ruining their channel's performance.
• 📚 It's suggested that creators should not delete old videos on different topics as they do not negatively affect the performance of new videos.
• 🚀 A poorly performing video does not indicate that a channel is broken or on a downward trend; the next video could perform averagely or even better.
• 🌟 The possibility exists for any video, regardless of the channel's size, to go viral, though it may require a bit of luck.
• 🎯 Specializing in a niche and becoming an expert in a specific topic is advised for two main reasons: improving skills over time and maintaining community trust.
• 🛠️ Consistently creating content on the same topic can lead to mastering strategies and technical aspects, increasing the chances of success for well-made videos.
• 👥 The YouTube community expects and trusts the creator to continue producing content in their specialized area, and straying from this could disappoint the audience.
• 📊 Low impressions on a video do not mean YouTube has stopped promoting it; rather, it suggests that the video may not be resonating with the intended audience.
• 🔄 YouTube's suggested videos are not limited to recent content, so a new video that doesn't get many views initially could gain traction later on.
• 📈 Checking the performance of a video in the 'Subscriptions' section can provide insights into how well it is received, as this area is not governed by the same algorithms as the homepage or recommended videos.

Q & A

What is the main topic discussed in the video script?

The main topic discussed in the video script is the understanding of YouTube's algorithm, specifically how it handles channel consistency and the impact of publishing videos on different topics.

What does Todd bpre suggest about the impact of publishing a video on a different topic on a YouTube channel?

Todd bpre suggests that publishing a video on a different topic, even if it goes viral, will not ruin a channel. YouTube's algorithm operates more on a per-video basis rather than considering the overall channel theme.

What advice does the video give for channels that want to experiment with different content?

The video advises that channels can feel free to experiment with different content without fear of ruining their channel's performance. Experimentation is encouraged, and a single video's performance does not negatively impact the channel as a whole.

Why should YouTubers not delete old videos on different topics according to the video?

According to the video, YouTubers should not delete old videos on different topics because these videos do not influence the performance of new videos. They do not penalize the channel's overall performance.

What does the video suggest about the potential of a video to perform well regardless of the channel's size?

The video suggests that even a video from a small channel has the potential to go viral. However, it also acknowledges that a bit of luck may be involved in such cases.

What is the video's stance on specializing in a niche topic?

The video encourages specializing in a niche topic for two main reasons: becoming highly skilled in that area and building a community that expects and trusts the content from the channel.

What does the video say about the importance of consistency in video content?

The video emphasizes the importance of consistency in video content, stating that by consistently creating videos on the same topic, creators can improve their strategy, technical skills, and overall video quality, which increases the chances of success.

How does the video explain the YouTube algorithm's approach to recommending videos?

The video explains that the YouTube algorithm does not push a video to a fixed number of impressions per day. Instead, it waits for the right audience to be active on the platform and then evaluates which videos, including potentially yours, might interest them.

What is the significance of the 'Subscriptions' section in understanding video performance according to the video?

The 'Subscriptions' section is significant because it is not governed by the same algorithm as the homepage or recommended videos. It provides a clear view of how a video performs without any YouTube algorithmic influence, offering insights into whether even subscribed viewers appreciated the content.

What advice does the video give for creators who are struggling to get views despite producing quality content?

The video advises creators to look at their video performance in the 'Subscriptions' section and consider other factors that might be affecting viewer engagement, such as video quality, topic relevance, and presentation.

How does the video address the concern about videos not getting recommended by the YouTube algorithm?

The video addresses this concern by explaining that the algorithm does not limit recommendations to recent videos, meaning a new video might gain traction later when there is a renewed interest in the topic.