
If you’re a YouTube content creator, you’ll make data-driven decisions when posting content. This helps you target the right audience when creating your videos.
YouTube Studio provides YouTube Analytics, where you can get comprehensive data about your channel. But there is a caveat: most of the statistics provided by YouTube Analytics are descriptive and not predictive. This means information like future views, subscriber counts, and factors influencing watch time or earnings are unavailable. This means you’ll need to calculate these metrics yourself.
In this article, you’ll learn how to export data from YouTube Analytics to Python so you can analyze it further or create visualizations.
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