Social PublishingIntermediate

How to Analyze Your YouTube Analytics with ChatGPT

Export your channel data and let ChatGPT turn raw CSVs into plain-language insights about what to make more of.

9 minIntermediate

YouTube Studio shows you a hundred numbers but rarely tells you what to do next. By exporting your data and handing it to ChatGPT, you can get a clear read on which videos, topics and lengths actually grow the channel, in language you can act on.

What you need

Access to YouTube Studio with at least a few months of data
ChatGPT with file upload (the data analysis feature)
A spreadsheet app to glance at the export first

Step 1: Export your analytics as a CSV

In YouTube Studio, open Analytics, choose the Content tab, set a date range of at least 90 days, and use the export button to download a CSV. This gives you per-video rows with views, watch time, impressions and click-through rate.

YouTube Studio - Advanced mode export

Video title, Views, Impressions, CTR %, Avg view duration, Watch time (h)

Home Espresso Under $300, 41200, 290000, 7.1, 4:12, 2880

Best Cheap Grinder, 8800, 120000, 3.2, 2:05, 305

[Export] -> table data.csv

Export per-video metrics to CSV from the Analytics screen.

Step 2: Upload the CSV and ask for patterns

Drop the CSV into ChatGPT and ask specific questions. Vague prompts get vague charts. Ask which topics and durations correlate with high watch time and which videos have good CTR but poor retention, since those signal a title that oversold.

analytics-prompt.txt

Here is my YouTube export. Analyze it and tell me:

1. The 3 videos with the best click-through rate, and what their
   titles have in common.
2. Videos with high CTR but low average view duration (likely
   misleading titles).
3. Whether longer or shorter videos get more total watch time.
4. Three concrete topics to make more of, with reasoning.

ChatGPT - Analytics summary

You

Analyze my YouTube export: best CTR videos, misleading titles, length vs watch time, topics to repeat...

Agent

Your 'under $300' framing drives 7%+ CTR across 4 videos. 'Best Cheap Grinder' has high CTR but a 2:05 view duration, so the open likely overpromises. Make more budget-setup videos.

ChatGPT reads the CSV and returns ranked, plain-language findings.

Step 3: Confirm the claims against the data

AI can misread a column or invent a trend. Ask it to show the exact rows behind each conclusion, then check those numbers in your spreadsheet. Treat the output as a draft you verify, not a verdict.

Watch for small-sample conclusions

A single viral video can skew every average. If a finding rests on one or two outliers, ask ChatGPT to redo the analysis with the outlier removed and see whether the pattern holds.

Step 4: Turn findings into a make-more list

Convert the verified insights into three or four concrete next videos. If 'under $300' framing wins, your next titles use a budget angle. Data-driven topic selection beats guessing every time.

Result

Instead of scrolling charts, you get a short list of verified patterns and a clear set of next videos. Re-run the export monthly to keep your content steering toward what actually grows the channel.