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derived metric difference between two rates, on whatever scale the underlying rate measure carries, rounded to two decimal places · higher is better

Conversion-rate change

also called Conversion rate deltaConversion rate period over period

Definition

The difference between a period's conversion rate and a comparison period's, reported alongside both rates and their underlying counts.

How it's calculated

The rate under test is the product's OWN displayed conversion-rate measure, conversions divided by unique users, or, on tenants whose analytics supply a stored per-row rate, the average of those stored rates. Both periods' rates are fetched as the product's weighted period aggregates and the change is the selected rate minus the comparison rate, rounded to two decimal places. A relative form is reported beside it as a percentage to two decimal places. Both period rates are echoed in the response so the subtraction is checkable.

Numerator
Selected-period rate minus comparison-period rate
Denominator
Each rate's own denominator is set by the underlying measure: unique users, or none at all where the measure is an average of stored per-row rates

Scope, grain and dimensions

Grain
One value per pair of date ranges.
Required filters
date_range · comparison_range
Aggregation
Computed once from the two periods' weighted aggregates, not averaged over buckets, the per-bucket series exists but is used for the significance test, not for the change.
Metric type
derived metric · difference between two rates, on whatever scale the underlying rate measure carries, rounded to two decimal places

Data sources

Where you'll see this

Named reports that normally include this metric.

AI referral traffic reportSearch to revenue report

Skills and analyses that use it

Skills carry the judgment; the analysis verbs do the reading.

Analysis verbs

pop_significance

Method rungs and levers

R5 Rewarded

A rung tells you what a movement here can and cannot explain, read the rungs below it first.

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How to read it

The size of the move, kept separate from whether the move is distinguishable from noise. Read it beside the p-value and the verdict: a large change on thin traffic and a small change on heavy traffic can carry the same p-value, and only the pair tells the story. Because it is the difference between the two numbers the product itself displays, it should reconcile against the product UI exactly, which is the point of it.

Caveats, freshness and failure modes

The change and the significance test are computed on DIFFERENT quantities. The change is the difference between two weighted period aggregates; the test compares equal-weight per-bucket means. When traffic weights shift between periods those two can move in opposite directions, and when they do the tool refuses to transfer the verdict, it returns a can't-tell for the displayed rate and withholds the significance flag rather than making a claim about a quantity the test did not measure.

The denominator is not sessions. It is unique users, or, on tenants whose analytics supply a stored per-row rate, no explicit denominator at all, the measure is an average of stored rates. A change computed against a session-based rate will not match this one.

It is a difference between two rates, not a percentage-point figure and not a percent change, the relative form is a separate field with its own scale problem.

Fewer than two buckets in either period, or no within-period variation, returns a can't-tell with an explanatory note; the aggregate change is still reported, because it was already known before the test was attempted.

Whole-domain only; a non-default segment returns a note explaining the limitation.

The result is stamped observational in the payload.

Freshness
loads nightly, a same-day question gets yesterday's number, labelled as yesterday's.

Common failure modes

  • Reconstructing the rate as conversions over sessions and comparing the two.
  • Reading the value as percentage points.
  • Presenting a significance verdict for the displayed change when the tool withheld one because the two quantities disagreed in direction.
  • Quoting the change without the verdict beside it.

Not the same as

The confusions that cause the most wrong decisions.

Conversion-rate change Conversion rate Compare definitions →

One is a level for a single period; the other is the difference between two of those levels. They share a definition and a denominator, what differs is the question, and the fact that only the change carries a significance verdict.

Conversion-rate change Relative change Compare definitions →

One is an absolute difference between two rates, in percentage points; the other expresses that difference relative to the comparison period. Confirm which you have before quoting it, they answer different questions and are not interchangeable.

Verification

Last verified 2026-08-04 · reference version 1.1 { } This metric as JSON ↗