YouTube Topic Comparisons — Explore Video Performance
See which topics have higher observed views per video or engagement among videos of similar ages.
What is Topic Experiments and when should you use it?
See which topics have higher observed views per video or engagement among videos of similar ages.
What is Topic Experiments?
Topic Experiments is TubeAnalytics' exploratory view of topic performance for a connected YouTube channel. It groups videos using words from titles, descriptions, and tags, then compares each group's observed views per video and engagement rate with other videos published at a similar age. The selected time range filters which videos were published, while their stored view and interaction counts are lifetime totals. Each topic shows how many videos could be matched with peers, and comparisons without a usable peer average appear as unavailable. A topic needs at least three matched videos and three peers before the dashboard highlights it; that threshold is a caution, not a statistical significance test. Topics are chosen from existing content rather than randomly assigned, so differences may reflect timing, format, promotion, or audience selection. The view cannot establish that a topic caused growth and does not infer per-video subscribers, watch time, or revenue from views. Topic Experiments is available on the Enterprise plan.
Published by TubeAnalytics, founded by Mike Holp. Data sources and limitations · Corrections and support.
Evidence and Validation
This feature summary is reviewed against product documentation and publicly available comparison references to keep decision criteria stable.
- Feature documentation and release notes are published across TubeAnalytics product pages.
- Metric definitions and calculation scope are documented in TubeAnalytics methodology resources.
- Comparable tool capabilities are mapped in the compare section for validation workflows.
What Topic Experiments includes
Metadata Topic Groups
Group videos by repeated words in their titles, descriptions, and tags.
Publication-Age Comparison
Compare topic videos with other channel videos in the same publication-age band, using average views per video rather than topic totals.
Observed Engagement
Review likes and comments relative to views when both topic and peer observations are available.
Sample and Coverage Labels
See the number of matched topic and peer videos, with unavailable results shown instead of invented uplift.
How Topic Experiments works
- 1
Select a channel and publication range
Choose the connected channel and the publication dates of the videos to review.
- 2
Review metadata-based topic groups
The dashboard groups the selected videos by words found in their titles, descriptions, and tags.
- 3
Compare matched videos
View average lifetime views per video and engagement against other channel videos in matching publication-age bands.
- 4
Check sample limits
Use matched counts and the selection-bias caveat when deciding what to investigate next.
Take the next step with Topic Experiments
Move from definition to comparison, implementation, and pricing so you can choose the right workflow for your channel.
Frequently asked questions
- How does Topic Experiments compare videos?
- It groups videos by title, description, and tag words. Each topic's average lifetime views per video and engagement are compared with other channel videos in the same publication-age band. The selected range filters video publication dates, not when the views occurred.
- Does a higher topic comparison prove that the topic caused growth?
- No. These are observations from previously published videos, not a controlled test. Format, promotion, audience, publication timing, and selection of topics can affect the difference.
- When is a comparison highlighted?
- The dashboard highlights a topic only when at least three topic videos and three age-matched peers are available, the topic has at least 100 observed views, and peer average views are above zero. This is a display threshold, not a confidence level or proof of statistical significance.
- Does this view measure subscribers, revenue, or watch time per topic?
- No. This view uses stored views, likes, and comments. Per-video subscriber, revenue, and watch-time observations are unavailable here, so it does not derive them from views or metadata. Topic Experiments is available on the Enterprise plan.
Eligible new customers: try Topic Experiments free for 7 days
Payment info required. Available on the Enterprise plan.