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| refund_reason | refund_count | total_amount | avg_processing_time |
|---|---|---|---|
|
|
|
||
| Defective Item | 142 | $4,260.00 | 1.2 days |
| Late Delivery | 89 | $2,670.00 | 0.8 days |
| Wrong Item Sent | 56 | $1,680.00 | 1.5 days |
| No Longer Needed | 45 | $1,350.00 | 0.5 days |
| Card Fraud | 12 | $860.00 | 0.1 days |
| Double Charge | 8 | $240.00 | 2.1 days |
| Other | 3 | $90.00 | 3.0 days |
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This answer identifies your best-selling products by revenue contribution over the last 30 days.
"Revenue" is defined as the sum of product_price from
the order_items table.
"Last 30 days" is interpreted as the 30-day period immediately
preceding the current timestamp when the query is executed.
You may find the Sigma Monthly Product Revenue dashboard useful, it has a bar chart for Revenue by Month.
| Product ID | Product | Revenue |
|---|---|---|
|
|
|
|
| 6 | Pro Plan (Monthly) | $12,450 |
| 2 | Enterprise License | $8,200 |
| 7 | Pro Plan (Annual) | $5,100 |
| ... 8 more rows | ||
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This answer identifies your best-selling products by revenue contribution over the last 30 days.
"Revenue" is defined as the sum of product_price from
the order_items table.
"Last 30 days" is interpreted as the 30-day period immediately
preceding the current timestamp when the query is executed.
This answer:
product_price across all
qualifying order items.
Custom Note
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