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YTScope product guide

Video Comparison

Compare selected videos fairly using benchmarks, raw charts, normalized radar, 24/48-hour velocity, SEO, and 30-day projections.

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The Compare tab puts videos selected in List into one analysis set. Beyond finding the largest value, you will check how age, format, period, and normalization affect the result.

Compare — a comparison built from selections in the List tab.

Outcome, prerequisites, and path

  1. In Videos → List, select videos that can be compared fairly.
  2. Confirm at least two selections in the bottom bar.
  3. Open Compare through the action or tab.

The maximum is not fixed; it is the live comparison limit shown for your plan. Comparison is disabled beyond it. Only database videos from channels you track are eligible.

Fair-comparison checklist

Match as much as possible:

  • similar publish age or lifecycle stage;
  • the same selected period and adequate snapshots;
  • Shorts with Shorts, regular videos with similar regular videos;
  • comparable topic and audience intent;
  • the same channel, or an explicit note about channel-size differences.

Older videos have an advantage in totals; new videos can lead on daily velocity. You may compare formats, but write the result as a format hypothesis rather than a conclusion from one video.

Selection and shared states

The selector shows thumbnail, title, channel, and views; remove a video with X. Manage additions from List.

StateAction
No / insufficient selectionReturn to List and select at least two.
LoadingDo not record a winner until the skeleton completes.
No dataConfirm videos belong to tracked, synced channels.
ErrorRefresh; retry later if it persists.
Missing metric / Do not replace it with zero; age, publish date, or snapshots may be missing.
LimitReduce selections to the on-screen plan limit; an old counter is not the limit.

Visual summary and benchmark cards

Top cards highlight winners for basic metrics. Benchmark cards average only the selected videos.

FieldDefinition
Avg. Views / Likes / EngagementArithmetic mean across selected videos; engagement is percent, others are counts.
Median ViewsMiddle selected view count; more resistant to one extreme than the mean.
Views/DayCumulative views ÷ video age, views/day.

A two-video mean or median is not a population conclusion. “Best” means highest for that metric only within the selection.

Performance comparison chart

Bar view

  • X-axis: Views, Likes, and Comments metrics.
  • Y-axis: raw count.
  • Series/legend: one color per selected video; highlight marks the views winner.
  • Tooltip: raw value and video title.

Metric scales differ, so a large view bar can visually dominate like/comment differences.

Line view

  • X-axis: date in the selected period.
  • Y-axis: cumulative views.
  • Series/legend: one line per video.
  • Tooltip: views on that date and video title.

Lines do not connect a missing date. An older publication can have a longer track; read video age separately.

Normalized radar chart

The seven axes are Views, Likes, Comments, Engagement, Daily Avg., SEO, and Velocity. On each axis, the highest value in the selected set is normalized to 100; other videos are scaled against it.

  • 100 is not absolute quality or a YouTube benchmark.
  • A 50 on different axes comes from different raw units.
  • The dashed Channel Average label is technically the normalized average of selected videos on that axis, not the full channel archive.
  • The legend maps videos; the tooltip shows normalized 0–100 values.

A small raw difference can look prominent after normalization. Validate the shape with the benchmark card or raw table.

View velocity

Each video can show Last 24h, Last 48h, Daily Rate, and trend. Units are view counts and views/day. The windows need eligible snapshots; a young video has an incomplete window and an older one can lack detailed history. “Best velocity” is best only among available daily rates.

30-day view projection

FieldReading
Current / Estimated ViewsCurrent cumulative count and modeled possible 30-day total.
Projected GrowthRelative change from current to estimated total, percent.
Based on DaysObserved video age used by the model.
ConfidenceLow / Medium / High data-age class, not a probability.

When enough decline signal exists, the model can use a decaying velocity curve; otherwise it can extend current velocity with a simpler approach. A young video and short observation can produce a large projection. High confidence is not a guarantee or error interval.

Publish timing

The card compares publish date, hour, and weekday and marks newest/oldest. It is not a controlled performance experiment. Before calling the highest-viewed video's time “best,” check topic, format, age, and channel size.

SEO comparison

The panel shows each 0–100 product SEO score, tag/hashtag/link counts, description length, and common/unique tags. Highest means best only within the selection. The score does not guarantee YouTube search rank, and a common tag is not a cause of success.

Detail table and mobile cards

Desktop table and mobile cards cover the same comparison:

  • views, likes, comments, and engagement;
  • views/day;
  • like ratio;
  • likes/comments per 1K views;
  • video age, duration, format, velocity, SEO, and ranks.

Per-1K metrics normalize different view scales but are volatile at low views. Do not confuse engagement percent with percentage-point change or raw counts with per-1K rates.

Insights and AI analysis

Key Insights and strategic AI derive from selected videos. A “winner” applies only to its named metric. Before acting, validate period, fair-comparison checklist, raw value, and missing-data state.

Practice — Coğrafyanın Kodları

Verified July 17, 2026.

  1. Select two similarly aged, same-format Coğrafyanın Kodları videos and record the live plan limit.
  2. Compare benchmark mean and median; if they differ, identify a possible extreme.
  3. Read raw counts in Bar and the historical track in Line; do not assume they answer the same question.
  4. Choose one radar axis, validate its normalized value against the raw table, and name the selected maximum as denominator.
  5. Check whether each 24/48-hour window is complete or missing.
  6. Add Based on Days and Confidence beside every projection you record.
  7. Turn the publish-time or SEO winner into a hypothesis for the next video, not a causal claim.

Interpretation limits

  • Changing the selected set changes averages, radar, winners, and projection comparison.
  • Different age, format, and channel size make a comparison less fair.
  • Normalized radar does not show raw magnitude; confidence does not show an uncertainty interval.
  • Projection, SEO, and AI advice are not outcome guarantees.

What's next?

GuideTopic
Channel AnalysisReturn to channel-level growth, performance, and daily metrics.
Video AnalysisRevisit List selection and one-video detail.