Unlock YouTube Insights: How This Research Can Elevate Your Online Marketing

Summary

Anas shares an update on his research and software project aimed at analyzing backlink data for YouTube channels. He explains the process of extracting link data from YouTube pages and discusses the challenge of analyzing a large keyword list, which includes over 294,000 keywords. Anas hopes to build an automation tool to help small creators publish videos across various platforms, starting with a pilot project. He encourages viewers to engage with his journey by commenting and subscribing for more updates on his progress.

Takeaways

• 😀 The speaker, Anas, provides an update on his research and work.
• 🧐 He is analyzing column names and considering adding a keyword as part of his project.
• 💻 The main goal is to record backlink data, though the exact backlink date is not crucial.
• 📊 Anas acknowledges that analyzing the data, especially backlink details, will be challenging.
• 🔑 He has a keyword list with about 294,653 keywords to scan, expecting valuable data from the first 100-200 keywords.
• 🌐 His process involves loading YouTube, retrieving links, and extracting data for further analysis.
• 🔗 The aim is to find websites that link to different YouTube channels, generating a list of interesting domains.
• 🚀 If he finds useful information, Anas plans to build an automation tool for publishing videos on multiple services.
• 🤝 He is considering a pilot project to help a small group of people publish videos through his service.
• 📢 Anas encourages viewers to engage with his content by subscribing and staying updated on his progress.

Q & A

What is the main topic of the video?

The main topic of the video is about the creator's process of analyzing backlink data related to YouTube channels and potentially creating an automation tool to publish videos across different services.

Why is the speaker analyzing backlink data?

The speaker is analyzing backlink data to find out which websites are linking to different YouTube channels. This information could help users promote their videos by identifying valuable domains.

What challenge does the speaker mention regarding backlink dates?

The speaker mentions that it's difficult to know the exact date when a backlink was added. However, they clarify that the important thing is recording the date when they discover the backlink.

How many keywords does the speaker have in the list for analysis?

The speaker has 294,653 keywords in their list for analysis.

What is the expected outcome after analyzing a portion of the keywords?

The speaker expects to gather the most important data after analyzing around 100 to 200 keywords, rather than going through all 294,653.

What process does the speaker describe for analyzing each keyword?

For each keyword, the software loads YouTube, retrieves link data (like HTML links), extracts the links, and then loads the YouTube page to collect data for various columns in their analysis.

What does the speaker hope to accomplish if they find something useful from the analysis?

If the speaker finds something useful, they hope to build an automation tool that can publish videos on different services. They also want to help a small group of people by using this tool in a pilot project.

What kind of project does the speaker propose to help users with video publishing?

The speaker proposes a pilot project where a small group of people can use their automation tool to publish videos on different platforms, helping users promote their content.

What action does the speaker ask the viewers to take if they're interested in the project?

The speaker asks viewers to comment below the video if they are interested in the pilot project for publishing videos using the speaker's service.

What final steps does the speaker encourage viewers to take?

The speaker encourages viewers to like the video, subscribe to the channel, and hit the notification bell to stay updated on future videos and updates.