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- Retail Analytics
- Retail event source
- Source capture
- Publication destination
Retail Analytics organizes retail measurement around a dated retail snapshots record. An owner relates the snapshot to an organization and a retail stores definition, records consent context, and collects basket facts for observed sessions and conversion events.
Retail snapshots in one list
Independent Reviewer decides the retail snapshots revision after checking evidence.
Every feature works on the same records. Pick one to see the screen your team works in.
Follow a dated retail measurement from collection through review and publication.
Retail snapshots
| Number | Name | Store date | Conversion count | Session count | Status | |
|---|---|---|---|---|---|---|
| RS-57561 | Autumn footwear conversion review | 19 Oct | 9 | 2 | Published | |
| RS-92908 | Outerwear launch basket review | 26 Oct | 36 | 22 | Published | |
| RS-42141 | Mobile checkout weekly review | 18 Oct | 10 | 4 | Published | |
| RS-67894 | Weekend store pickup review | 03 Nov | 23 | 11 | Published | |
| RS-61205 | First purchase cohort review | 30 Oct | 25 | 15 | Published |
Examine consented session and conversion observations under a retail snapshot.
Approval conditions
| Id | Parent | Observed on | Outcome | Session count | Conversion count | |
|---|---|---|---|---|---|---|
| SRC-2026-1041 | Mobile checkout weekly review | 14 Oct | Pending | 33 | 35 | |
| ACT-2026-1042 | Mobile checkout weekly review | 30 Oct | Pending | 5 | 10 | |
| RUN-2026-1043 | Autumn footwear conversion review | 26 Oct | Pending | 13 | 25 | |
| MET-2026-1044 | Outerwear launch basket review | 27 Oct | Pending | 30 | 22 | |
| BASKET-2026-1045 | Autumn footwear conversion review | 27 Oct | Pending | 25 | 21 |
Keep source coverage, freshness and observed metric periods visible.
Retail snapshots
| Number | Name | Store date | Status | Revision | Owner | |
|---|---|---|---|---|---|---|
| RS-71279 | Autumn footwear conversion review | 20 Oct | Configured | 140 | Mara Okonkwo | |
| RS-62378 | Outerwear launch basket review | 25 Oct | Collecting | 350 | Mateo Quinn | |
| RS-81131 | Mobile checkout weekly review | 21 Oct | Validated | 340 | Yasmin Cole | |
| RS-36394 | Weekend store pickup review | 13 Oct | Analyzed | 870 | Arun Desai | |
| RS-65830 | First purchase cohort review | 20 Oct | Published | 910 | Laila Haddad |
Set the grain and calculation method before comparing retail results.
Approval waits for the independent reviewer
| Id | Name | Grain | Version | Aggregation method | Status | |
|---|---|---|---|---|---|---|
| SRC-2026-1041 | Checkout conversion rate | per shopper session | v1.0 | Sum | Draft | |
| ACT-2026-1042 | Average basket value | per completed order | v1.1 | Count distinct | Draft | |
| RUN-2026-1043 | Store pickup completion rate | per store day | v1.2 | Ratio of sums | Draft | |
| MET-2026-1044 | Consented shopper share | per product view | v2.0 | Last as of | Draft | |
| BASKET-2026-1045 | Return rate by category | per consented shopper | v2.1 | Median | Draft |
Record an independent decision against the exact measurement revision.
Action waits for the independent reviewer
| Id | Source | Source revision | Reviewer | Decision | Evidence reference | |
|---|---|---|---|---|---|---|
| SRC-2026-1041 | First purchase cohort review | 160 | Rina Sato | Pending | checkout-audit-2026-10.pdf | |
| ACT-2026-1042 | First purchase cohort review | 640 | Mara Okonkwo | Pending | basket-recon-2026-10.csv | |
| RUN-2026-1043 | Mobile checkout weekly review | 430 | Rina Sato | Pending | consent-sample-2026-10.csv | |
| MET-2026-1044 | Loyalty offer impact review | 950 | Mateo Quinn | Pending | return-review-2026-10.pdf | |
| BASKET-2026-1045 | First purchase cohort review | 950 | Kofi Mensah | Pending | exposure-check-2026-10.csv |
Trace a measured value to its definition, source and operation history.
Metric results
| Id | Metric | Period start | Period end | Dimension key | Value | |
|---|---|---|---|---|---|---|
| SRC-2026-1041 | Average basket value | 03 Nov | 10 Nov | channel=web | 280 | |
| ACT-2026-1042 | Checkout conversion rate | 16 Oct | 21 Oct | channel=mobile | 170 | |
| RUN-2026-1043 | Campaign assisted revenue | 26 Oct | 03 Nov | category=footwear | 900 | |
| MET-2026-1044 | Store pickup completion rate | 04 Nov | 08 Nov | category=outerwear | 390 | |
| BASKET-2026-1045 | Repeat purchase rate | 03 Nov | 06 Nov | store=harbor-point | 560 |
Assign and close dated work arising from a retail measurement exception.
Follow-up actions
| Id | Title | Due date | Status | Assigned to | Source | |
|---|---|---|---|---|---|---|
| SRC-2026-1041 | Check missing mobile checkout events | 25 Oct | Open | Laila Haddad | Cart recovery campaign review | |
| ACT-2026-1042 | Review outerwear size selection drop | 23 Oct | In progress | Kofi Mensah | Cart recovery campaign review | |
| RUN-2026-1043 | Reconcile pickup basket totals | 25 Oct | Completed | Mara Okonkwo | First purchase cohort review | |
| MET-2026-1044 | Confirm consent rate by channel | 12 Oct | Open | Mateo Quinn | Holiday preview traffic review | |
| BASKET-2026-1045 | Audit duplicate return events | 25 Oct | In progress | Laila Haddad | Autumn footwear conversion review |
Observation to reviewed retail result ships ready to use. One step needs a named approval before the work moves on: Review revision (Independent Reviewer).
Choose the dated store scope and source identity.
Gather consented session and conversion observations.
Check captured coverage and supporting documents.
Record an independent decision on the current revision.
Check and record a value with its definition, period and source scope.
Release the reviewed snapshot and assign exceptions.
Open any retail snapshot to see its basket facts, the roles that work on it, its process stages and its approvals on one page.
Store date, Organization, Owner and Revision.
Each line is linked to this retail snapshot.
Measurement Owner, Retail Analyst and Independent Reviewer, each with their own permissions.
Configure measurement and Capture source window, with the role that acts.
Review revision, with who decides.
Cedar & Loom Outfitters · Configured
| Id | Parent | Observed on |
|---|---|---|
| SRC-2026-1041 | Mobile checkout weekly review | 14 Oct |
| ACT-2026-1042 | Mobile checkout weekly review | 30 Oct |
| RUN-2026-1043 | Autumn footwear conversion review | 26 Oct |
Signed in as Independent Reviewer
| Decision | Approver | |
|---|---|---|
| Review revisionRecord an independent decision on the current revision. | Independent Reviewer | |
| Approve review decisions | Independent Reviewer |
Everyone opens Retail Analytics to the work that is theirs. Pick a role to see what it starts with.
Owns the dated retail snapshot and its collection scope.
This is the first screen this role sees.
Retail snapshots · Measurement Owner
Prepares observations, definitions and results for review.
This is the first screen this role sees.
Source snapshots · Retail Analyst
| Id | Name | Coverage start | Coverage end | Captured at | Freshness status | |
|---|---|---|---|---|---|---|
| SRC-2026-1041 | Web checkout capture, October 1-7 | 04 Nov | 06 Nov | 15 Nov | Fresh | |
| ACT-2026-1042 | Store basket import, October 1-7 | 27 Oct | 29 Oct | 05 Nov | Stale | |
| RUN-2026-1043 | Mobile sessions, October 8-14 | 16 Oct | 20 Oct | 24 Oct | Failed | |
| MET-2026-1044 | Consent ledger, October 8-14 | 18 Oct | 24 Oct | 31 Oct | Fresh | |
| BASKET-2026-1045 | Product views, September close | 12 Oct | 20 Oct | 28 Oct | Stale |
Checks evidence and decides against the recorded snapshot revision.
This is the first screen this role sees.
Source snapshots · Independent Reviewer
| Id | Name | Coverage start | Coverage end | Captured at | Freshness status | |
|---|---|---|---|---|---|---|
| SRC-2026-1041 | Web checkout capture, October 1-7 | 04 Nov | 06 Nov | 15 Nov | Fresh | |
| ACT-2026-1042 | Store basket import, October 1-7 | 27 Oct | 29 Oct | 05 Nov | Stale | |
| RUN-2026-1043 | Mobile sessions, October 8-14 | 16 Oct | 20 Oct | 24 Oct | Failed | |
| MET-2026-1044 | Consent ledger, October 8-14 | 18 Oct | 24 Oct | 31 Oct | Fresh | |
| BASKET-2026-1045 | Product views, September close | 12 Oct | 20 Oct | 28 Oct | Stale |
Assigns and closes corrective work after reviewing exceptions.
This is the first screen this role sees.
Retail snapshots · Operations Lead
Maintains source definitions, field mappings and captured source context.
This is the first screen this role sees.
Source snapshots · Data Steward
| Id | Name | Coverage start | Coverage end | Captured at | Freshness status | |
|---|---|---|---|---|---|---|
| SRC-2026-1041 | Web checkout capture, October 1-7 | 04 Nov | 06 Nov | 15 Nov | Fresh | |
| ACT-2026-1042 | Store basket import, October 1-7 | 27 Oct | 29 Oct | 05 Nov | Stale | |
| RUN-2026-1043 | Mobile sessions, October 8-14 | 16 Oct | 20 Oct | 24 Oct | Failed | |
| MET-2026-1044 | Consent ledger, October 8-14 | 18 Oct | 24 Oct | 31 Oct | Fresh | |
| BASKET-2026-1045 | Product views, September close | 12 Oct | 20 Oct | 28 Oct | Stale |
Maintains organization, people and access records.
Read conversion, source coverage, review outcomes and overdue action questions.
This quarter
How far records got this quarter
| Stage | Reached | Step | |
|---|---|---|---|
| Configured | 37 | ||
| Collecting | 18 | 49% | |
| Validated | 12 | 67% | |
| Analyzed | 6 | 50% |
Sample totals per stage
Compare accepted basket conversion counts with session counts for each dated retail snapshot.
Show exposure recorded on snapshots grouped by their retail store definition.
Count snapshots by organization, store date and lifecycle status.
Compare calculated values, numerators, denominators and source row counts across metric definitions and periods.
Show each reviewer decision, reason and date beside its source revision.
List capture dates, coverage windows and freshness status for sourced snapshots.
Show open and in-progress actions by assigned person and due date.
Trace failed or reconciliation-required runs to their numbered steps and source snapshot.
See how Retail Analytics fits your kind of team.
Each stage of observation to reviewed retail result names the role that acts and the status it records, so a change is never anonymous.
Each stage, the role that acts and the status it records
Use Proto to prepare retail measurement work for a named human decision.
Set up connections through ERP.AI and Proto workflows, with every change logged.
Every record lives in a table you can see, extend and export. Add fields or whole tables in Proto.
Browse all 17 tablesStart with one team and one process, then add the rest once the basics are running.
Choose an organization, measured property, store definition and completed reporting period. Agree consent basis and source identity.
Record the source mapping and capture window, then collect a bounded set of basket facts under the dated snapshot.
Draft the metric definition, work a normal and zero-denominator example, and have the Independent Reviewer decide the rule.
Check the observation, result and operation trace. Return one snapshot revision for correction and approve the corrected revision.
Assign a stale-source or result exception with a due date; close it only after the source and review outcome are clear.
$0per user
The base account and everyday work in the ERP.AI app are free, for every user.
| Usage | Per $1 |
|---|---|
| Record reads (list, filter, get) | 20,000 |
| Search or aggregate queries | 4,000 |
| Record writes | 4,000 |
| Imported or synced records | 200,000 |
| Workflow runs | 2,000 |
| AI agent runs | 2,000 |
| Scheduled jobs or webhooks | 20,000 |
| File uploads (MB) | 2,000 |
| CSV or PDF exports | 100 |
Click Get started, then use Proto to configure Retail Analytics for your business. Pilot one measured property, one completed period, a consented basket-fact scope and a reviewer decision before expanding.
It is a dated measurement linked to an organization, a store definition and an owner. Its source identity and revision help the team inspect the exact case behind a result.
The analyst can inspect pending, accepted and rejected facts under their parent snapshot. Source references, observed dates and consent basis help explain each fact.
Yes. A review decision can be returned with a reason and tied to a specific snapshot revision. The owner can address the issue and present a revised case.
Open its metric definition, period, numerator, denominator, row count and linked run. Read the source window before comparing it with another period.
The source capture records freshness and coverage. Assign a follow-up action to check the capture and the affected observation or result.
Use store definitions and the same approved metric interpretation for the periods being compared. Check effective dates and source mappings when event meaning changes.
The Measurement Owner handles the snapshot lifecycle after an Independent Reviewer records the decision for its exact revision.
Connect the retailer's event source during implementation. Keep stable source references, coverage and consent context with the resulting facts.
Start free, then use Proto to change fields, steps and approvals before your team goes live.