Measure Dependence on Four YouTube Traffic Sources

How to Use This Tool

Traffic Concentration data boundary: this page calculates concentration index 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 Traffic Concentration comparison, not monthly search volume.

To reproduce a Traffic Concentration 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 concentration index and invalidates the Traffic Concentration comparison.

Use a simple HHI-style index to reveal an audience-acquisition concentration risk. A channel can grow while becoming increasingly dependent on one discovery surface that may later weaken.

Why Traffic Concentration needs more than a raw total

Squaring shares gives large sources more influence; 2,500 represents four equal 25% groups and 10,000 one 100% source. For this page, the useful comparison is concentration index, not whichever input happens to be largest. The Traffic Concentration result answers the decision in the heading and should not be reused as a score for a different workflow.

The exact Traffic Concentration formula

The concentration index is the sum of the squared percentage shares for all four entered source groups. The visible fields are Largest source share, Second source share, Third source share and Other sources share. For Traffic Concentration, read each printed unit before entry and make the values describe one transaction, cohort or reporting window. If those scopes differ, the displayed concentration index may be arithmetically valid but operationally meaningless.

Interpreting concentration index

Check that shares total 100, compare the index over consistent periods and inspect which source caused any increase. The ten-percent comparison is deliberately narrow: it tests the influence of largest source share 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 Traffic Concentration supported the choice.

What this Traffic Concentration model leaves out

Grouping all smaller sources into one bucket raises its apparent concentration and the index is descriptive, not a platform-risk forecast. That is where Traffic Concentration stops being trustworthy. If an excluded factor could reverse concentration index, 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 Traffic Concentration is YouTube Analytics API — Traffic-source dimensions. YouTube Analytics API — Traffic-source dimensions supports the named definition or rule but does not supply private values for concentration index. Before acting on the result, reconcile the worked example with the relevant dashboard, invoice, export or measurement.

Private, reproducible calculation

Traffic Concentration runs its arithmetic in the current browser tab and requests no login or API key. That keeps the Traffic Concentration 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 Analytics API — Traffic-source dimensions and rerun the saved Traffic Concentration scenario.