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Identify the content formats and topic clusters that generate the highest return per video and concentrate production effort there.
Identify the content formats and topic clusters that generate the highest return per video and concentrate production effort there.
Content Performance is TubeAnalytics' cross-video analysis module that compares YouTube videos and content series by views, watch time, CTR, subscriber conversion, and revenue per video — enabling creators to identify which formats, topics, and structures produce the strongest results and which underperform. Unlike YouTube Studio's analytics, which present metrics on a per-video basis without aggregation, TubeAnalytics groups videos by content type, topic cluster, or playlist and calculates performance averages for each group. This allows creators to make decisions at the content strategy level rather than the individual video level. Analysis of TubeAnalytics platform data from 2025 indicates that creators who run quarterly content performance audits using cross-video comparison generate 27% more watch time growth than those adjusting content strategy based on single-video impressions alone.
This feature summary is reviewed against product documentation and publicly available comparison references to keep decision criteria stable.
Compare Shorts and long-form videos side by side on watch time, subscriber conversion, and revenue per upload. Identify whether short-form content is building or cannibalizing your long-form audience before committing to a format shift.
Group videos by topic or content series and calculate aggregate performance averages for each cluster. Find which topic areas consistently outperform on views, retention, or CPM and which are dragging down channel averages.
Visualize the relationship between click-through rate and average view duration across all your videos. Identify videos with high CTR but low retention (title overpromise) and videos with low CTR but high retention (underperforming thumbnails on strong content).
Ranked lists of your top and bottom performing videos by any metric — views, watch time, CTR, retention, or revenue per video. Use the patterns in your top performers as a blueprint for future production decisions.
Score each video by how quickly it accumulated views in the first 48 hours post-publication. High-velocity content indicates strong algorithmic pickup; low-velocity content signals title, thumbnail, or topic issues worth investigating.
Analyze how playlists affect session length, subscriber conversion, and total watch time. Identify which playlist groupings extend viewer sessions and which fail to chain views effectively.
After connecting your channel via Google OAuth, TubeAnalytics imports performance data for every video — views, watch time, CTR, average view duration, subscriber net gain, and estimated revenue where available.
Assign format tags (Shorts, long-form, tutorial, vlog) and topic tags to your videos within TubeAnalytics. The platform uses these tags to group videos and calculate aggregate performance averages for each category.
The performance dashboard shows aggregate metrics by content group — average views, average watch time, average CTR, and average retention for each format or topic cluster — alongside your top and bottom performers by each metric.
The correlation matrix surfaces videos with mismatched CTR and retention — either title/thumbnail problems or strong content in need of better promotion. These are the highest-leverage optimization opportunities in your library.
Content Performance generates ranked recommendations — for example, 'tutorial-format videos average 2.4× the watch time of your opinion pieces' or 'your SEO topic cluster generates 3× the subscriber conversion of your news reaction videos.' Use these to prioritize the next production sprint.
Move from definition to comparison, implementation, and pricing so you can choose the right workflow for your channel.
TubeAnalytics platform analysis, 2025
TubeAnalytics platform data, 2025
TubeAnalytics platform data, 2025
Gaming creator, 180K subscribers
Challenge: Spent equal production time on Shorts and long-form videos but had no data on whether the Shorts were contributing to subscriber growth or just inflating view counts.
Solution: Content Performance revealed Shorts generated 60% of views but only 4% of subscriber conversions, while long-form tutorials generated 35% of views and 78% of subscriber conversions. The creator reduced Shorts output by 50% and reallocated time to long-form tutorials, growing subscribers 40% faster over the next quarter.
Digital marketing educator, 52K subscribers
Challenge: Channel had plateaued and the creator couldn't tell whether the problem was content quality, topic selection, or upload frequency.
Solution: Topic cluster analysis showed three topic areas averaged 8,200 views per video while two others averaged 1,400. The CTR-retention matrix showed the underperforming topics had strong retention but weak CTR — a thumbnail and title optimization problem, not a content problem. Fixing thumbnails for the low-CTR cluster increased views on those videos by 73% within 30 days.
Payment info required. Available on the Professional plan.