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RoseMart · Territory performance

Where are stores under-performing relative to local market potential, and where should we add capacity?

Analytical
Total revenue QTD
$48.7M
9.2%YoY
Plan: $46.0M · +$2.7M ahead
Source: POS aggregate · 12h ago
Same-store sales L4W vs L4W LY
+4.6%
1.2 ppvs Q1
Industry avg: +2.8%
Comp store cohort · daily
Avg basket QTD
$72.40
3.1%YoY
Loyalty members: $89.10
POS aggregate · daily
Active loyalty L90D
3.84M
12.6%YoY
Penetration: 53% of txn
CRM · 8h ago

Where do under-served markets and under-performing stores cluster?

USD revenue per capita by state · stores sized by Q2 revenue · DC→store flows by shipment volume · customer foot-traffic density

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Revenue per capita

Sources: U.S. Census 2020 (population) · POS warehouse · CRM beacons ·

Top under-performing markets (low revenue per capita relative to median)

Click a row to drill into store-level cohort.

State Stores Revenue (Q2) Population (M) $ / capita vs median Trend (12 wk) Action
Source: state-level rollup · median across all 50 states ·

Revenue is normalized to population (per 100k people) for fair territory comparison; absolute revenue would let large states "win" by population alone. Bubbles use sqrt scaling so circle area is proportional to store revenue. Flows are great-circle paths, width = monthly shipment count. Density heatmap is relative — units are unlabeled by intent (foot-traffic events normalized 0–1 within the visible viewport). All numbers are synthetic for this demo.