Analytics

YouTube Data Studies: Every Study We've Published So Far

Every original YouTube data study we've published, all measured from our own tracked-channel data, not a survey or a guess. What's live, what's queued next, and how the data behind each one is collected.

A creator standing before a wall covered in printed pages of channel analytics, charts, tables, and sticky notes pinned up side by side, viewed from behind

We have published two original YouTube data studies so far, both measured from our own tracked-channel data instead of a survey or a guess: how long the typical upload runs by niche, and whether title length changes how a video performs. Five more are already queued.

Every study on this page follows the same rule before it gets written: if a competitor without our database could publish the same article, we do not write it. Below is what has shipped, what is measured next, and how the underlying data gets collected.

Published

StudySampleHeadline finding
The Ideal YouTube Video Length in 202630,360 videos, 14 nichesTypical length ranges 3.6 to 27.7 minutes by niche. Published averages are inflated up to 3.83x by outlier uploads.
YouTube Title Length Doesn't Predict Performance28,947 videos, 707 channelsCorrelation of 0.0046 between title length and performance, negligible in every niche tested.

Coming Next

Five more studies are queued from the same dataset, none published yet:

  • When Top Creators Really Upload: Best Time to Post, Measured. Real publish timestamps by niche and channel size, replacing guesswork with a measured answer.
  • How Often Successful Channels Upload vs. Stalled Ones. Upload cadence against channel size and growth.
  • How Fast Views Come In: The First 30 Days of a YouTube Video. A real per-video growth curve from weekly view snapshots, not a single upload-day count.
  • Do Shorts Grow Faster Than Long-Form, or Just Get Posted More? Early-view velocity by format, not adoption share.
  • Engagement Rate by Niche: Which Categories Get the Most Likes and Comments Per View. Likes and comments measured against views, by category.
We measure your channel the same wayChannel Audit runs the same kind of real data check on your own channel: length, cadence, and format mix against what is working in your niche right now. Free to try.Run a Channel Audit →

How We Collect This

Every study on this page comes from the same weekly channel-tracking infrastructure, not a one-off pull built for a single article. Each week, we walk the uploads playlist of every tracked channel through YouTube's own API, record real duration and publish timestamps, and snapshot view, like, and comment counts for videos still in their first 180 days.

That data accumulates whether or not an article is being written from it. A study either clears a real data floor, 30 channels and 500 videos minimum, or it does not get published, and every figure here states its real sample size rather than a rounded estimate.

Five More Studies Are Already Queued

This page gets longer as each one ships, not rewritten. Check back, or follow any individual study, they link back here and to each other as the list grows.

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