Position-bucket support
also called Bucket instancesLow-confidence bucket flag
Definition
How many keyword-and-page instances a position bucket's click rate was fitted from, and the flag raised when that count falls below the reliability floor.
How it's calculated
instances = COUNT(*) of the keyword-and-page rows grouped into that branded × intent × device × position bucket. A bucket fitted from fewer instances than the reliability floor (default 5) is flagged low-confidence; flagged buckets are kept in the fit rather than dropped.
Scope, grain and dimensions
- Grain
- One position bucket inside one branded × intent × device cell.
- Dimensions
- position bucket · brand · intent · device
- Required filters
- date range
- Aggregation
- A count per bucket. A cell in which no bucket clears the floor is reported as a sparse cell, its entire curve is weak, not just one point of it.
- Metric type
- raw measure · keyword-and-page instances per position bucket
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.
Analysis verbs
ctr_curve_modelstriking_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 quality
Ask Quattr
- "How reliable is our CTR curve at these positions?" Simulate this →
- "Which segments do not have enough data to model?" Simulate this →
How to read it
The reason a curve is trustworthy or is not. Where support is thin, the expected CTR, the gap and every upside figure derived from it are thin too, and the affected rows are labelled rather than dropped, so a worklist never quietly loses its weakest half.
Caveats, freshness and failure modes
The floor is a caller-settable convention, not a power calculation, it does not correspond to a confidence level.
Support counts instances, not impressions, so a bucket can clear the floor on many tiny rows.
Widening the fitted window raises support but ages the curve, and the curve drifts.
- 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
- Dropping low-confidence rows from a worklist instead of labelling them.
- Reading a high instance count as high impression volume.
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.