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order_id
customer_email
Region
product_sku
Units
Sale Price
order_date
ORD-001
alex.w@example.com
EMEA
PROD-001
150
$15,000.00
2025-07-24
ORD-002
s.chen@example.com
NA
PROD-002
120
$18,000
2025-07-24
ORD-003
maria.g@example.com
APAC
PROD-001
80
€7,400.00
2025-07-23
ORD-004
d.patel@example.com
EMEA
PROD-003
200
$10,000
2025-07-23
ORD-005
li_wei@example.com
APAC
PROD-004
50
$2,500
2025-07-22
ORD-006
oliver.b@example.com
NA
PROD-002
$24,000
2025-07-22
ORD-007
chloe.l@example.com
emea
PROD-001
110
£10,500
2025-07-21
ORD-008
juan.r@example.com
LATAM
PROD-005
300
$9,000
2025-07-21
ORD-009
fatima.a@example.com
EMEA
PROD-003
75
$3,750
2025-07-20
ORD-010
kenji.t@example.com
APAC
PROD-002
95
$14,250
2025-07-20
Sales
Ad Platform Data
Product Costs
Inventory
Insight: The campaign successfully cleared overstocked items, improving inventory health, but the deep discounts led to a net profit decrease of 5%. Recommend focusing future campaigns on higher-margin products.
Deep Dive
- $29K overstock cleared (–52% vs pre‑campaign), DOH ↓ to 33 days (–45%) → freed working capital but stockouts rose from 3 to 8 SKUs
- Peak Week 2: $85K revenue @ 18% margin; average campaign margin 15% vs baseline 20%
- SKU scatter: Top‑volume SKUs (800–1,000 units) traded at <10% margin, driving 40% of total sales
- Sell‑through rate: 68% of promoted SKUs → slow‑movers still represent 32%
Recommendations
- Shift focus to ≥20%‑margin SKUs next campaign (aim for 30% of revenue)
- Tiered discounts: 5–10% on mid‑turn items (DOH <60d), 15–20% on >90d stock
- Reorder safeguards: +15% safety stock on top 10 best‑selling SKUs to avoid stockouts
- Channel ROAS monitoring: allocate more budget to channels consistently >4× ROAS
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