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What were the refunds last week by reason?
Results
Chart
Query
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
7 rows • Generated in 0.4s

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Answer

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.

activation_date
Sigma Monthly Product Revenue
Answer Instant Answer
Results
Chart
Query
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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Top 10 products by revenue in the past 30 days

Rob D
By Rob D Added Jan 02, 2026
Published
320 24
Question
What are the top 10 products by revenue in the last 30 days?
Auto Description

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:

  • Looks at all order line items placed in the past 30 days.
  • Groups those sales by product.
  • Calculates total revenue per product as the sum of product_price across all qualifying order items.
  • Ranks products from highest to lowest revenue.
  • Returns the top 10 revenue ranks, including ties (so if multiple products share the same revenue as the 10th-ranked product, they will all be included).
Note

Custom Note

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Sigma
Revenue Dashboard Sigma Computing

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Common questions teams ask

“How many customers activated last week?”
“What’s revenue by segment this month?”
“Which appointments were canceled within 24 hours?”
“What’s the refund rate broken down by reason over the past year?”
“How long from signup to first payment?”
“Top 20 products by order count last month?”

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