Analyze YouTube Analytics CSV Exports
YouTube Studio lets you export analytics to CSV, but the file arrives with date ranges split across columns, revenue in multiple currencies, and audience demographics that need pivoting to see patterns. This YouTube Analytics CSV analyzer reads that export structure and gives you breakdowns by video, traffic source, and geography without writing a single formula.
Upload your export and see which videos drive revenue, which traffic sources convert, and where your audience lives—without pivot tables or formulas.
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What this export contains
| Video title |
| Views |
| Watch time (hours) |
| Average view duration |
| Impressions |
| Impressions click-through rate |
| Revenue (USD) |
| Estimated monetized playbacks |
| Traffic source |
| Geography |
| Subscriber status |
| Date |
Combining analytics with subscriber data
YouTube's main export includes a 'Subscribed status' column showing whether views came from subscribers or not, but it does not include subscriber count over time. If you export subscriber data separately from the channel analytics section, you can join it by date to see how subscriber growth correlates with video performance and whether new uploads drive subscriptions.
Handling multi-channel exports
If you manage multiple YouTube channels, each exports its own CSV with the same column structure. Upload all of them and add a 'Channel' column to each before combining, so you can filter and compare performance across channels without losing track of which video belongs where.
What it costs
DataMimi is free to try without an account, and the free plan includes credits every month. Paid plans add more credits, more files per analysis and more seats; every feature, from dashboards to slide decks, is on every plan. See the pricing page for current prices.
Common questions
How do I export YouTube Analytics to CSV?
In YouTube Studio, go to Analytics, select the date range and metrics you want, click the download icon in the top right, and choose CSV. The file includes views, watch time, revenue, and traffic sources for the period you selected.
Why does my YouTube Analytics CSV have so many rows?
YouTube exports one row per video per day per dimension. If you export traffic source data, a single video gets a separate row for each source (YouTube search, browse features, suggested videos) for each day, multiplying the row count quickly.
Can I analyze multiple YouTube Analytics exports together?
Yes. Upload each CSV and join them by video title or video ID. This lets you compare performance across different date ranges or combine the main analytics export with the separate audience retention export.
How do I calculate total revenue when YouTube splits it by currency?
The export includes columns like 'Your estimated revenue (USD)', 'Your estimated revenue (EUR)', and so on. Sum across all currency columns for each video to get total revenue, or filter to one currency if you only monetize in a single region.
What is the difference between views and impressions in the export?
Impressions count how many times your thumbnail was shown. Views count how many times someone clicked and watched. The click-through rate column divides views by impressions to show what percentage of people who saw the thumbnail actually watched.
Try it with your own file
DataMimi reads the file you actually have — merged cells, headers below row one, totals pasted at the bottom — and shows which rows and columns every number came from.
Ask about your fileWhat DataMimi costs
Every plan does everything — slides, written reports, cleaned exports, dashboards. They differ in how much work they cover.
Free
Free
40 credits a month
Starter
$24 /month
1,500 credits a month
Pro
$59 /month
5,000 credits a month
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