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AI-Driven Content Analysis

The idea

The argument is that by leveraging AI to analyze video content, one can uncover patterns and insights that might not be immediately apparent. The idea is to use this tool to identify which tags and content elements correlate with higher engagement metrics, such as saves and shares. By manually tagging and analyzing the content, the creator builds a deeper understanding of what works, thereby enhancing their creative intuition. While the AI might not provide groundbreaking predictions, the process of diving into the analytics and questioning why certain pieces perform better than others is invaluable. This approach allows creators to refine their content strategies without fully relying on automated systems, ensuring that personal touch and intuition remain integral to their brand's development.

Why it works

• The AI system analyzes tags and their correlation with performance metrics like saves and shares, helping identify quirky but effective patterns.
• Manually tagging videos and analyzing analytics builds intuition on what works, allowing creators to refine their content strategies.
• The process of going through each video and understanding its performance is crucial for developing a personal brand, making AI a tool rather than a replacement for human creativity.

The playbook

1. Identify your content tags: Start by defining the tags that are relevant to your content. These could be based on themes, locations, emotions, or any other factors that resonate with your audience.

1. Collect and analyze data: Use the Facebook Graph API to gather and analyze the analytics of your existing content. This will help you understand which tags correlate with higher engagement metrics like saves, shares, and average watch time.

1. Manually tag your content: Go through your content and manually assign the tags you’ve defined. This process will help you gain deeper insights into what works and what doesn’t, and it’s a crucial step in building your content intuition.

1. Create a dashboard: Develop or use a tool that visualizes the correlations between your tags and engagement metrics. This will allow you to see patterns and trends that might not be immediately obvious from the raw data.

1. Reflect on the insights: Regularly review the data and your manual tags to understand why certain content performs better. Use this knowledge to refine your content strategy and make informed decisions about future posts. Remember, the goal is to build your personal brand through consistent effort and creativity, not to rely solely on AI.

Where people get it wrong

Many fall into the trap of thinking that AI can replace the human intuition and creativity needed to craft compelling content. The argument is that an AI can analyze patterns and predict success, but the reality is that the patterns it finds are often random and not statistically significant. For instance, wearing a hat might lead to more saves, but this is not a consistent or reliable pattern.

Another common mistake is expecting the AI to build your personal brand. The founder noted that you cannot outsource your personal brand to AI. Instead, manually tagging and analyzing videos to understand why certain content performs better builds your creative intuition over time. This process is essential for developing a unique and authentic content style.

Lastly, relying solely on the workflow without understanding the underlying data can be misleading. The workflow did not work well, and the founder emphasized the importance of doing the "boring work" yourself. This involves manually tagging and analyzing content to build intuition and creativity, rather than leaving it to an AI.

To truly succeed, focus on the manual analysis and intuition-building process, rather than expecting the AI to do the heavy lifting.

Do this next

• Start by manually tagging your existing videos with relevant categories. This will help you understand which tags correlate with better performance.
• Set up a dashboard to track the analytics of your content. Use tools like Facebook Graph API to pull in the data and gain insights.
• Analyze why certain videos perform better than others by looking at metrics like save rates and average watch time. This will help you identify patterns.
• Create a workflow to automate the tagging process for new content. While the AI might not be perfect, it can still provide useful insights.