This AI Prompt Will Explode Your YouTube Channel (Copy it)

I've discovered an AI prompt that can dramatically accelerate your YouTube channel's growth when used properly. This isn't just about sharing the prompt itself, but walking you through a complete system to extract maximum value from your YouTube analytics and uncover hidden opportunities you can act on immediately.

If you've been spending countless hours in YouTube Studio's analytics tab feeling overwhelmed by data you can't interpret, that frustration ends now. I'm going to show you my foolproof process for exporting spreadsheets from your studio and analyzing them to identify optimization opportunities using AI, specifically focusing on improving your click-through rates and average view duration for sustainable channel growth.

Key Takeaways

• Export lifetime analytics data from YouTube Studio to identify hidden gem videos with high views but low click-through rates
• Use AI tools like Gemini to analyze your data and pinpoint specific optimization opportunities for titles and thumbnails
• Implement continuous A/B testing on titles first, then thumbnails, to systematically improve your channel's performance over time

Unlocking YouTube Growth With AI Prompts

Understanding the Power of AI for YouTube Analytics

I use Gemini for YouTube analytics because it's owned by Google, which also owns YouTube. This connection gives me better responses for YouTube-related prompts compared to other AI tools.

The key is understanding that prompts and responses are only as good as you make them. I've developed a specific prompt that identifies hidden gem videos - content with high views but low click-through rates.

My go-to prompt is:

"Act as a YouTube analytics expert. My goal is to download a report from my YouTube studio that will help me identify my hidden gem videos. These are videos with highest views but low average click-through rate, suggesting the topic is good, but the thumbnail or title can be improved. Please provide a clear step-by-step guide on how to download one lifetime report from the YouTube Studio Analytics that contains the following three columns for all of my videos: video title, views, impressions, click-through rate. Format your response in a simple numbered list. Assume I am not a data expert."

The AI provides clear steps to extract the right data from YouTube Studio. I follow these steps to get to the advanced analytics mode and export lifetime data with the specific metrics I need.

Identifying Hidden Opportunities in Analytics

The AI analysis reveals videos that get enough views to show demand but have below-average click-through rates. These represent your biggest opportunities for growth.

When I upload my CSV file to Gemini, it processes the data and provides:

The analysis typically identifies 10-15 videos with improvement potential. I work on these one at a time, focusing first on titles, then thumbnails.

My optimization process:

1. Title optimization - Create more enticing titles that spark curiosity or open loops
2. A/B split testing - Use TubeBuddy or YouTube's built-in testing features
3. Thumbnail testing - Design new thumbnails with potentially better conversion rates
4. Monitor results - Track which changes actually improve click-through rates

I run this analysis process quarterly to maintain a pipeline of optimization opportunities. The goal is increasing click-through rates, which directly leads to more views on existing content.

You should always have some A/B split testing running in the background. Results take time depending on your video's traffic volume, but consistent testing and improvement of existing content can significantly impact your channel's growth.

Step-By-Step Guide to Exporting YouTube Analytics Data

Accessing Lifetime Data in YouTube Studio

Navigate to YouTube Studio and click on the Analytics tab. From there, select See more to access additional options.

Click on Advanced mode to open the analytics in a new window. This will give you access to more detailed reporting options.

On the left side of the screen, change the time period from "Last 28 days" to Lifetime data using the dropdown menu. Leave the breakdown setting as Content.

Selecting Essential Metrics for Analysis

Focus on these specific metrics for your analysis:

• Views
• Impressions
• Click-through rate
• Watch time in hours

You can ignore other metrics like subscribers for this analysis. Click Apply once you've selected these metrics to update your analytics view.

Downloading and Managing Your CSV Report

Click the small down arrow export button in your analytics dashboard. Select CSV format for the best results when working with AI tools.

The file will download as a zip folder to your computer. Navigate to your downloads folder and double-click the zip file to extract it.

Look for the file named table data.csv - this contains all your video data. Open it to verify you can see all video titles, published dates, views, watch time, and other columns.

Important: Always select the table data.csv file, not chart data or totals, when uploading to AI analysis tools. This ensures you get the complete dataset needed for identifying hidden gem videos.

Leveraging Gemini for Advanced Data Analysis

Setting Up and Using Gemini

I use Gemini for YouTube analytics because it's owned by Google, which also owns YouTube. This connection gives me consistently good responses when I ask YouTube-related questions.

You can access Gemini by going to gemini.google.com. You'll need to create an account if you don't already have one.

The quality of your results depends entirely on how well you craft your prompts. I've found that being specific about what you want helps Gemini provide more actionable insights.

Uploading and Processing Analytics Data

Once I have my CSV file downloaded from YouTube Studio, I return to Gemini and click the add files button. I select upload files and navigate to my downloads folder.

The key step is selecting the correct file. I always choose table data.csv, not chart data or totals. This file contains all the metrics I need for analysis.

After uploading, I simply type "here is the file you requested" and hit return. Gemini processes the CSV data and begins its analysis automatically.

You can watch Gemini's thinking process as it works through your data. It will show "beginning data analysis" and "processing the CSV data" while it examines your information.

Extracting Valuable Insights From CSV Reports

Gemini provides me with both a CSV output and a detailed analysis summary. The analysis includes my average click-through rate and establishes a high view threshold for identifying opportunities.

The most valuable output is the hidden gem videos list. These videos have:

• High view counts (proving demand exists)
• Below-average click-through rates (indicating improvement potential)

I work with one video at a time from this list. The click-through rate measures impressions converting to watch time, which means either the title or thumbnail needs improvement.

My process involves creating more enticing titles that spark curiosity or open loops. People should feel compelled to click to get their questions answered.

After implementing title changes, I move on to thumbnails. I test new designs that might achieve better conversion rates.

I repeat this analysis process quarterly. This gives me regular opportunities to identify underperforming content and optimize it for better results.

Identifying Hidden Gem Videos For Optimization

Defining Hidden Gem Criteria

Hidden gem videos are videos with high views but low average click-through rates. This indicates the topic is good and there's demand for the content, but the thumbnail or title needs improvement.

I set specific thresholds to identify these opportunities. The AI analysis calculates my average click-through rate across all videos. It then determines a high view threshold based on my channel's performance.

Videos qualify as hidden gems when they meet two criteria:

• Views above the threshold - proving audience demand exists
• Click-through rate below average - indicating optimization potential

This combination reveals videos that could perform significantly better with simple improvements. The demand is already proven through view count.

Interpreting Click-Through Rate And View Metrics

The click-through rate measures how many impressions convert to actual views. When I export my YouTube Studio data, I need these specific columns:

High views with low click-through rates create the optimization opportunity. The impressions show how often YouTube displays my video. The click-through rate reveals what percentage actually click to watch.

I focus on videos getting substantial impressions but converting poorly. These have the greatest potential for improvement.

Prioritizing Videos For Action

I work on one video at a time from my hidden gem list. The AI analysis ranks videos by opportunity size, starting with the highest view counts and lowest click-through rates.

My process follows this sequence:

1. Start with titles first - Test more enticing, curiosity-driven titles
2. Use AB split testing - Through TubeBuddy or YouTube's built-in feature
3. Wait for statistical significance - Allow enough time for reliable data
4. Move to thumbnails - After title optimization is complete

I run this analysis quarterly to identify new opportunities. The key is maintaining ongoing AB tests in the background since results take time depending on each video's traffic volume.

Each video receives focused attention rather than trying to optimize multiple videos simultaneously. This approach ensures I can properly measure the impact of each change and make data-driven decisions about keeping or reverting modifications.

Optimizing Titles and Thumbnails for Higher CTR

Using AI to Brainstorm High-Converting Titles

Once you've identified your hidden gem videos, I work with AI on one of these at a time. I take the first video and choose to work on either the title or the thumbnail.

The click-through rate measures impressions going through to watch time. You don't know which element has the biggest impact - the thumbnail or the title.

My advice is to take all the titles and work on them one at a time with AI. I try to come up with a higher converting title that's more enticing. The goal is creating a title that intrigues or sparks curiosity.

I focus on titles that open the loop. People have to click on the video to actually watch and answer their question.

Implementing and Testing New Titles

After creating improved titles with AI, I set all those up inside TubeBuddy for AB split testing. This tool can run the AB split testing for you automatically.

After a certain amount of time, I come back and see which titles are the best. I check which ones are actually better or even worse.

You might want to keep what you've got and try another one. I go through that in a process and just address the titles first.

Once I've done that and got some clear winners, I can then address the thumbnails. I go one by one through each of these videos with opportunity.

I split test the title first over a period of time. Then I split test the thumbnail over a period of time.

Designing and Split Testing Improved Thumbnails

I work with Canva or try to get another thumbnail that I think may have a better conversion rate. Then I test it using AB split testing.

You don't have to use TubeBuddy for thumbnail testing. YouTube has an AB split test function built within the studio.

The main aim is to ultimately increase the click-through rate so you get more views on your videos. This could be a process that you do periodically once a quarter.

I use AI to analyze your output from YouTube Studio and then take action on all these opportunities. You should always have some sort of AB split testing working in the background.

It takes time depending on the volume you're getting for each video to actually get results. Then you act on those results.

I always implement, review, and have a look at the analytics. Then I improve what I've already got.

Implementing a Continuous Improvement Process

I recommend establishing a systematic approach to optimize your channel's performance through regular data analysis and testing. This process focuses on identifying hidden opportunities and taking actionable steps to improve your metrics.

Scheduling Regular Analytics Reviews

I suggest conducting analytics reviews on a quarterly basis to maintain consistent growth momentum. This timeframe allows enough data to accumulate while keeping you responsive to trends and opportunities.

During each review, I download a lifetime report from YouTube Studio Analytics. I focus on extracting data that contains video titles, views, impressions, and click-through rates for all my content.

The key is consistency in this process. I always have some form of testing running in the background because it takes time to gather meaningful results, especially depending on the volume each video receives.

My quarterly review checklist:

• Export CSV data from YouTube Studio advanced analytics
• Upload data to AI analysis tool
• Identify videos with high views but below-average click-through rates
• Create action plans for underperforming content
• Track progress from previous optimization efforts

Utilizing AB Split Testing Tools

I use TubeBuddy as my primary AB split testing platform, though YouTube has built-in split testing functionality within Studio. TubeBuddy allows me to systematically test multiple variations and track performance over time.

My testing approach follows a specific sequence. I work on titles first, then move to thumbnails after establishing winning titles. This method helps isolate which element has the biggest impact on click-through rates.

For title optimization, I work with AI to create more enticing options that:

• Spark curiosity
• Create intrigue
• Open loops that require viewers to click for answers
• Generate higher conversion potential

I set up all title variations in TubeBuddy and let them run simultaneously. The tool handles the rotation and data collection automatically.

Testing workflow:

1. Phase 1: Test title variations (4-6 weeks)
2. Phase 2: Test thumbnail variations on winning titles (4-6 weeks)
3. Phase 3: Analyze results and implement winners

Adapting Strategies Based on Results

I analyze results after sufficient testing periods and make data-driven decisions about which variations to keep. Some tests reveal that original versions perform better than new alternatives.

When a test shows improvement, I implement the winning variation permanently. If results are worse, I either revert to the original or create new test variations based on what I learned.

My adaptation process includes documenting what works and what doesn't. I track patterns across successful optimizations to inform future content creation and testing strategies.

I maintain a systematic approach to implementation:

The ultimate goal is increasing click-through rates to generate more views on existing content. I focus on videos that already show demand but have optimization potential rather than trying to fix content with fundamental issues.

Helpful Resources for YouTube Growth

I use Gemini for analyzing my YouTube data because it's owned by Google and YouTube. You can access it at gemini.google.com and create an account if needed. The platform consistently provides strong responses for YouTube-related analytics prompts.

AI Prompt for Finding Hidden Gems:

Act as a YouTube analytics expert. My goal is to download a report from my YouTube studio that will help me identify my hidden gem videos. These are videos with highest views but low average click-through rate, suggesting the topic is good, but the thumbnail or title can be improved. Please provide a clear step-by-step guide on how to download one lifetime report from the YouTube Studio Analytics that contains the following three columns for all of these videos: video title, views, and impressions, click-through rate. Format your response in a simple numbered list. Assume I am not a data expert.

YouTube Studio Export Process:

1. Sign into YouTube Studio and click the Analytics tab
   
   
2. Select Advanced Mode to access detailed reporting
   
   
3. Choose Lifetime Data from the time period dropdown
   
   
4. Set Breakdown to Content and select these metrics:
   
   
• Video titles
• Views
• Impressions
• Click-through rate
• Watch time in hours
5. Export as CSV using the download arrow and save the zip file
   
   

When you download the file, open the zip and select table data.csv (not chart data or totals). Upload this file to Gemini with the message "here is the file you requested."

Analysis Results You'll Receive:

The AI identifies videos getting sufficient views but lower click-through rates. These represent your biggest opportunities for improvement.

Testing and Optimization Tools:

I recommend TubeBuddy for A/B split testing titles and thumbnails. You can also use YouTube's built-in A/B testing feature within Studio. Work on titles first, then move to thumbnails once you have clear winners.

Focus on creating titles that intrigue, spark curiosity, or open loops that require clicking to get answers. Test one element at a time over extended periods to gather meaningful data.

I run this analysis process quarterly to maintain ongoing optimization. Always have some A/B testing running in the background since results take time depending on your video volume.