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- Retail Analytics
- Who it's for
- Online retail
Online retail
An online retail team can use a dated snapshot for a measured web property and keep the events behind its conversion reading close to the result. Basket facts record observed sessions and conversions with a source reference and consent basis. Source snapshots show when a window was captured and whether it is fresh for the reporting period.
How Retail Analytics is set up for you
Event scope
Agree which source events count as sessions, shoppers and conversions before comparing rates.
Source capture
Store the coverage window, capture time and source hash for a period.
Metric rule
Review the grain, numerator, denominator and aggregation method used for a result.
Revision decision
Record reviewer approval against the exact snapshot revision rather than a general monthly number.
An online retail team can use a dated snapshot for a measured web property and keep the events behind its conversion reading close to the result. Basket facts record observed sessions and conversions with a source reference and consent basis. Source snapshots show when a window was captured and whether it is fresh for the reporting period.
Start with one measured web property and one completed period. The Data Steward records its store definition, source mapping and source capture. The Measurement Owner creates the retail snapshot and runs the consented basket-fact collection. The analyst reviews accepted and rejected observations separately, then checks the result's numerator and denominator against the approved metric definition.
Use a second period to see whether a mapping change altered interpretation. Compare the earlier mapping version with the linked source capture and reading period. If a capture is stale, make it a dated follow-up action with an assignee. The reviewer can then decide whether the corrected period is ready to publish. This cycle gives the team a repeatable way to explain a trend rather than relying on a headline chart alone.
[Inspect the source flow](/retail-analytics/processes/source-to-observation).
Features to start with
Roles on the team
- Measurement Owner
- Owns the dated retail snapshot and its collection scope.
- Retail Analyst
- Prepares observations, definitions and results for review.
- Independent Reviewer
- Checks evidence and decides against the recorded snapshot revision.
- Operations Lead
- Assigns and closes corrective work after reviewing exceptions.
- Data Steward
- Maintains source definitions, field mappings and captured source context.
Set up Retail Analytics your way.
Start free, then use Proto to change fields, steps and approvals before your team goes live.