Modeled CTR gain to a target position
also called CTR upliftCurve gain
Definition
The extra click-through rate this site's own curve predicts for a keyword if it moved from where it ranks now to a target position.
How it's calculated
ctrGain = max(0, expectedCtr(target) − expectedCtr(current)) evaluated on the row's own fitted curve. The floor at zero is safe because the fit is monotone-decreasing, so a target above the current position can never predict a loss.
Scope, grain and dimensions
- Grain
- One keyword × one page × the current-to-target pair.
- Dimensions
- query · page · brand · intent · device · position
- Required filters
- date range
- Aggregation
- Row-level; it is an input to the upside figures rather than something to aggregate on its own.
- Metric type
- derived metric · CTR points as a 0 to 1 fraction
Data sources
Where you'll see this
Named reports that normally include this metric.
CTR opportunity reportSearch opportunity report
Skills and analyses that use it
Skills carry the judgment; the analysis verbs do the reading.
Skills
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 much CTR would we gain moving this keyword from 11 to 5?" Simulate this →
- "What is the click-rate upside of reaching page 1?" Simulate this →
How to read it
The per-impression part of the upside story. It says nothing about how hard the move is, the curve models what happens if a position changes, never whether it will.
Caveats, freshness and failure modes
The target position is a default (5) and a knob. Changing it changes every number in the worklist, so the target belongs beside the result.
Rows already at or above the target are excluded from the candidate set rather than modeled at a gain of zero.
Both ends of the gain come from the same fitted curve, so a low-confidence cell makes the gain unreliable at both ends at once.
- 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
- Comparing two worklists built with different target positions.
- Reading a gain as achievable without any assessment of ranking difficulty.
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.