Potential clicks, before the AI-Overview discount
also called Raw upside clicksModeled upside
Definition
The clicks a keyword would have earned over the same window if it had ranked at the target position instead of where it ranks now, at this site's own modeled click rates.
How it's calculated
rawUpside = impressions × ctrGain, the row's observed impressions carried at the modeled click-rate gain from its current position to the target. Rounded to two decimals.
Scope, grain and dimensions
- Grain
- One keyword × one page × the window.
- Dimensions
- query · page · brand · intent · device
- Required filters
- date range
- Aggregation
- Row-level. A worklist total assumes every candidate is nudged in the same period, which is a scenario rather than a forecast.
- Metric type
- derived metric · clicks over the window (modeled)
Data sources
Where you'll see this
Named reports that normally include this metric.
Content decay reportCTR opportunity reportSearch opportunity report
Skills and analyses that use it
Skills carry the judgment; the analysis verbs do the reading.
Analysis verbs
striking_distance
Method rungs and levers
A rung tells you what a movement here can and cannot explain, read the rungs below it first.
levers L3 Refresh & content qualityL4 Internal linking & architecture
Ask Quattr
- "How many clicks are our striking-distance keywords worth?" Simulate this →
- "What is the upside if we get these keywords onto page 1?" Simulate this →
How to read it
A sizing device for prioritisation, and the word modeled belongs wherever it is shown. Its job is to order a worklist, not to enter a forecast, the ordering is far more reliable than the magnitude.
Caveats, freshness and failure modes
Impressions are held at their current level, but a ranking change usually changes impressions too, in either direction.
Every number inherits the fitted curve's caveats: non-stationary, segment-specific, and weak wherever a bucket is flagged low-confidence.
It is the pre-discount figure, the worklist ranks on the AI-Overview-adjusted number instead, and the two should never be quoted interchangeably.
- Freshness
- 1 to 2 days behind, Google's own reporting lag. Any answer touching the last 48 hours says so on the card.
Common failure modes
- Rounding a modeled upside into a commitment.
- Summing the whole worklist and presenting the total as expected traffic.
- Quoting the raw figure where the adjusted one is the number the product ranked on.
Watch this metric read in a real run
All runs →
Related metrics and workflows
Verification
A definition is the smallest part of this.
The measurement matters because something acts on it. Here is the rest of the showcase, in the order most people find useful.