Measure Where a Keyword First Appears in a Video Description

How to Use This Tool

Description Keyword Depth data boundary: this page calculates first-use depth from manually entered observations; it is not a live trending-keyword feed. When a field comes from Google Trends, its 0–100 value is normalized relative interest for the Description Keyword Depth comparison, not monthly search volume.

To reproduce a Description Keyword Depth result, preserve the country, YouTube Search property, time window, query spelling and capture date. Mixing worldwide Web Search with a United States YouTube Search snapshot changes the population behind first-use depth and invalidates the Description Keyword Depth comparison.

Normalize first-use position across descriptions of different lengths. A relevant phrase can be buried after links and boilerplate even when it technically appears in the description.

Why Description Keyword Depth needs more than a raw total

Normalized depth makes the first useful mention comparable across short and long drafts. For this page, the useful comparison is first-use depth, not whichever input happens to be largest. The Description Keyword Depth result answers the decision in the heading and should not be reused as a score for a different workflow.

The exact Description Keyword Depth formula

First-use depth equals preceding characters divided by total description characters, multiplied by 100. The visible fields are Characters before first use and Description length. For Description Keyword Depth, read each printed unit before entry and make the values describe one transaction, cohort or reporting window. If those scopes differ, the displayed first-use depth may be arithmetically valid but operationally meaningless.

Interpreting first-use depth

Move the plain-language topic explanation earlier when it helps viewers, without repeating phrases unnaturally. The ten-percent comparison is deliberately narrow: it tests the influence of characters before first use and is neither a forecast nor a confidence interval. Preserve the values used, their dates and the resulting decision so a later reviewer can reproduce why Description Keyword Depth supported the choice.

What this Description Keyword Depth model leaves out

The metric does not measure visible fold position, semantic understanding, ranking impact or keyword stuffing. That is where Description Keyword Depth stops being trustworthy. If an excluded factor could reverse first-use depth, extend the model explicitly or use the authoritative account system instead of hiding the factor inside an unexplained adjustment.

Evidence and independent verification

The reference reviewed for Description Keyword Depth is YouTube Help — How YouTube search works. YouTube Help — How YouTube search works supports the named definition or rule but does not supply private values for first-use depth. Before acting on the result, reconcile the worked example with the relevant dashboard, invoice, export or measurement.

Private, reproducible calculation

Description Keyword Depth runs its arithmetic in the current browser tab and requests no login or API key. That keeps the Description Keyword Depth inputs away from the site's calculation server, while leaving the user responsible for detecting stale data or a changed platform rule. When an assumption changes, reopen YouTube Help — How YouTube search works and rerun the saved Description Keyword Depth scenario.