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The number of days before a conversion within which an exposure may receive credit under an attribution model. It is disclosed with every attributed reading, because the same conversions attributed over one day and over thirty are two different numbers.

Also called Lookback window, Conversion window

Your value— 0 of 1 held

A parameter is the model's slot; the value in it is yours. It is kept in this browser and written to the model by nothing; share it as a link and it enters the browser that opens it.

• Attribution lookback window secondsminuteshoursdays standardbenchmarkexperimentdecision

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Questions answered from here— 4

• In what unit is a parameter measured?
• Which attribution models does a parameter set?
• By which evidence design is a parameter calibrated?
• On what basis does a parameter take its default value?

Compose from here— 11

Attribution lookback window can stand in 11 roles across the patterns this model declares. Pick one and the answer is drawn here, from the published graph.

• The calibration loop board → holds Metrics, Evidence Designs · the shape
• Setting board → holds Time Windows, Geographies, Audience Segments, Setting Bases, Units · the shape
• In what unit a parameter is measured board → holds Units · the question
• Which metrics a parameter sets board → holds Metrics · the question
• Which attribution models a parameter sets board → holds Attribution Models · the question
• Which evidence designs a parameter sets board → holds Evidence Designs · the question
• Which instruments a parameter sets board → holds Signals · the question
• Which purposes a parameter bounds board → holds Processing Purposes · the question
• Which tactics a parameter constrains board → holds Tactics · the question
• By which design a parameter is calibrated board → holds Evidence Designs · the question
• On what basis a parameter defaults board → holds Setting Bases · the question

Related— 9

• parameter of →First TouchAttribution Models
• parameter of →Last TouchAttribution Models
• parameter of →LinearAttribution Models
• parameter of →Time DecayAttribution Models
• parameter of →Position BasedAttribution Models
• parameter of →Data DrivenAttribution Models
• measured in →DurationUnits
• defaults on →DecisionSetting Bases
• grounds on →MeasureEntities

Pointed at by— 1

• calibrated by →Holdout experimentEvidence Designs