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- Retail Analytics
- Who it's for
- Store groups
Store groups
Store groups need a consistent definition of sessions, conversions and exposure before they compare measured properties. Retail Analytics gives each measurement a dated snapshot linked to an organization and store definition. A group can then review the status mix and conversion trend in Retail Overview, while still opening a specific snapshot to inspect its facts and evidence.
How Retail Analytics is set up for you
Store definition
Record an effective period for each measurement definition so a historical window stays interpretable.
Collection
Keep consent basis and source identity with the observations for each store date.
Review
Ask an independent reviewer to decide the exact snapshot revision before a result is used in a group discussion.
Exceptions
Assign stale source or invalid result issues with a person and due date.
Store groups need a consistent definition of sessions, conversions and exposure before they compare measured properties. Retail Analytics gives each measurement a dated snapshot linked to an organization and store definition. A group can then review the status mix and conversion trend in Retail Overview, while still opening a specific snapshot to inspect its facts and evidence.
Begin with one organization and a small set of store definitions that use the same basket conversion meaning. Choose a completed reporting period and import only its consented fact scope. Compare captured source windows with the dated snapshots, and check a normal period alongside one with an exception. The Retail Analyst can prepare a metric definition, while the Independent Reviewer confirms its grain and aggregation method.
At the first operating review, use Retail Overview to find the status mix and overdue actions. Open one reviewed result and trace its component values to the source period. Agree how a later correction is recorded so a changed store source does not quietly replace the earlier reviewed value. Expand to more measured properties after owners can explain the same calculation for each period.
[Plan the first cycle](/retail-analytics/implementation).
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.