Advanced Analytics

The Advanced tab evaluates a channel within your tracked set, video sample, and historical behavior. These cards support decisions; they are not private YouTube Studio data or proof of causation.

Outcome, prerequisites, and path

• Path: Channels → a channel → Advanced.
• The channel must be tracked and synced. Comparative cards need at least two tracked channels.
• Every card has its own data requirement and period badge. The top period affects some cards; cards marked All Data ignore it.
• An unavailable analysis appears locked. Its on-screen entitlement and limit message is the current source of truth.

Screen map

1. Share of views and relative market share.
2. View concentration.
3. Upload-time heatmap.
4. Engagement benchmark.
5. Seasonality, title, duration, and video-age analysis.
6. Unusually strong and weak videos.
7. Estimated revenue.

Share of views (SOV)

The market for SOV (Share of Voice) is not all of YouTube. It is the set of channels you track that have latest stats.

The card supports its displayed short-period context; the product may clamp another selected period to a supported one. Status and trend are product classifications comparing current and growth share. Adding or removing a tracked channel changes the denominator and therefore the interpretation.

Relative market share

This card compares your own channel with the largest competitor in your tracked set. Around 1 means similar scale, above 1 means ahead, and below 1 means behind in that context. Verify channel roles in Channel Management first.

View concentration

How Many Videos Carry Your Views? sorts eligible videos with a latest synced view count from highest to lowest.

This is a Pareto description; “80/20” is not a target or guarantee. The card uses All Data context and may be limited to recent eligible videos for performance. High concentration suggests dependence on a few videos; it does not identify the traffic source.

Upload time analysis

• Purpose: find a historical association between publish slots and average views.
• X-axis: hours 0–23; Y-axis: Monday–Sunday.
• Cell color: relative low-to-high performance; an empty cell has no data.
• Tooltip: day, hour, video count, and average views in that cell.
• Highlight: the sample slot with the highest average views.

The heatmap groups outcomes of videos published in each slot. Do not treat a one-video dark cell as a reliable optimum; inspect sample count, topic, and format. Use the time context displayed by the product before converting time zones.

Engagement benchmark

The card uses (likes + comments) ÷ views × 100 on eligible videos and runs in All Data context.

Do not treat the benchmark as a universal target. Cohort, window, format, and source year must match. The mean is sensitive to extremes; read it with median and sample size.

Seasonal trends

The x-axis is the month or week bucket; y-axes show average views (count) and average engagement (percent). Series group the periods; the tooltip gives period, video count, and averages. Best/worst cards compare only this sample. Without repeated annual cycles, do not claim seasonality as a cause.

Title keywords

Before reusing a “winning” word, inspect the number of videos and their topic. Adding a word does not reproduce the outcome.

Video duration analysis

The overview and, when available, Shorts comparison show video count, average views, and engagement in the duration groups currently labeled by the UI. Do not memorize duration cutoffs from this guide. “Best” means the highest average only among eligible videos in the current context.

Video age analysis

In Performance, the x-axis is age bucket and y-axis is average views/engagement; Distribution changes the series to video count. The tooltip gives bucket, sample, and value. Older videos can have more views simply because they have existed longer, so this chart alone does not prove evergreen behavior.

Unusually strong and weak videos

The analysis needs at least three eligible videos in the selected period and compares their view performance with the channel baseline.

• A Z-score says how many standard deviations a result lies from the sample mean.
• On the horizontal chart, x is Z-score, y is video title, and zero is the reference line.
• Green bars are strong positive deviations; red bars are weak negative deviations.
• The tooltip shows Z-score and the views or views-per-day value used.
• The product lists only videos crossing its current rule; do not freeze that threshold in the tutorial.

A Z-score is not a “viral” label. Small samples, high variance, video age, and mixed formats change the result. An empty list can correctly mean no video crossed the rule.

Estimated revenue

The All Data card uses current cumulative views plus the displayed region, CPM, creator/platform share assumptions, and USD currency.

Shared states

Practice — Coğrafyanın Kodları

Verified July 17, 2026.

1. Open Coğrafyanın Kodları → Advanced and record each card's period badge.
2. For View Share, name your tracked list as the denominator and explain why changing it changes the result.
3. Open a dark heatmap cell; record video count and average views before day/hour.
4. Interpret benchmark mean, median, min–max, and videos analyzed in one sentence.
5. Find a positive or negative Z-score deviation. Call it “unusual,” not “definitely viral/failed.”
6. Record region, CPM, and shares from the revenue card; label the output an estimate.

Interpretation limits

• Results change with cohort, sample, period, and data freshness.
• Correlation, concentration, benchmarks, and timing do not prove causation.
• Product labels and thresholds can be versioned; the current tooltip/badge and verification date are authoritative.
• Validate AI advice against the raw sample and each card's prerequisite.

What's next?