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You are a Customer Analytics Analyst at Amazon. The Customer Success team needs to analyze recent purchasing patterns for personalized recommendation engines and targeted retention campaigns. For the current 90-day window, identify each customer's two most recent successfully delivered orders within the United States to optimize cross-selling opportunities and predict future buying behavior. This analysis powers Amazon's "Frequently Bought Together" and "Customers Who Bought This Item Also Bought" recommendation systems.
| Column Name | Type |
|---|---|
| order_id | INTEGER |
| order_number | TEXT |
| customer_id | INTEGER |
You are a Customer Analytics Analyst at Amazon. The Customer Success team needs to analyze recent purchasing patterns for personalized recommendation engines and targeted retention campaigns. For the current 90-day window, identify each customer's two most recent successfully delivered orders within the United States to optimize cross-selling opportunities and predict future buying behavior. This analysis powers Amazon's "Frequently Bought Together" and "Customers Who Bought This Item Also Bought" recommendation systems.
| Column Name | Type |
|---|---|
| order_id | INTEGER |
| order_number | TEXT |
| customer_id | INTEGER |
| order_datetime | TEXT |
| order_datetime | TEXT |
| status | TEXT |
| status | TEXT |
| fulfillment_type | TEXT |
| fulfillment_type | TEXT |
| ship_city | TEXT |
| ship_city | TEXT |
| ship_state | TEXT |
| ship_state | TEXT |
| ship_country | TEXT |
| ship_country | TEXT |
| shipping_service_level | TEXT |
| shipping_service_level | TEXT |
| subtotal | REAL |
| subtotal | REAL |
| shipping_fee | REAL |
| shipping_fee | REAL |
| tax | REAL |
| tax | REAL |
| discount | REAL |
| discount | REAL |
| total_amount | REAL |
| total_amount | REAL |
| payment_status | TEXT |
| payment_status | TEXT |
| created_at | TEXT |
| created_at | TEXT |
| order_id | order_number | customer_id | order_datetime | status | fulfillment_type | ship_city | ship_state | ship_country | shipping_service_level | subtotal | shipping_fee | tax | discount | total_amount |
|---|
| order_id | order_number | customer_id | order_datetime | status | fulfillment_type | ship_city | ship_state | ship_country | shipping_service_level | subtotal | shipping_fee | tax | discount | total_amount |
|---|
| customer_id | order_id | order_datetime | total_amount | order_rank |
|---|---|---|---|---|
| 3 | 285 | 2025-06-13 07:21:10 | 1586.1 | 1 |
| 4 | 218 | 2025-07-24 05:09:15 | 245.55 | 1 |
| 43 | 388 | 2025-06-22 04:57:25 | 1669.84 | 1 |
| customer_id | order_id | order_datetime | total_amount | order_rank |
|---|---|---|---|---|
| 3 | 285 | 2025-06-13 07:21:10 | 1586.1 | 1 |
| 4 | 218 | 2025-07-24 05:09:15 | 245.55 | 1 |
| 43 | 388 | 2025-06-22 04:57:25 | 1669.84 | 1 |
Showing first 3 of 14 rows.
Showing first 3 of 14 rows.
Output Requirements:
Business Logic:
Data Scope & Filters:
Output Requirements:
Business Logic:
Data Scope & Filters:
| payment_status |
|---|
| payment_status |
|---|
| created_at |
|---|
| created_at |
|---|
| 1 | ORD-10001 | 46 | 2025-08-20 07:01:34 | shipped | pickup | pickup | 50.96 | 0.0 | 4.36 | 0.0 | 55.32 | captured | 2025-08-20 07:01:34 | |||
| 2 | ORD-10002 | 19 | 2025-02-24 04:56:03 | delivered | ship |
| 1 | ORD-10001 | 46 | 2025-08-20 07:01:34 | shipped | pickup | pickup | 50.96 | 0.0 | 4.36 | 0.0 | 55.32 | captured | 2025-08-20 07:01:34 | |||
| 2 | ORD-10002 | 19 | 2025-02-24 04:56:03 | delivered | ship |
Sorting Requirements:
Sorting Requirements:
| Austin |
| Austin |
| TX |
| TX |
| US |
| US |
| economy |
| economy |
| 601.53 |
| 601.53 |
| 5.99 |
| 5.99 |
| 54.96 |
| 54.96 |
| 0.0 |
| 0.0 |
| 662.48 |
| 662.48 |
| partial_refund |
| partial_refund |
| 2025-02-24 04:56:03 |
| 2025-02-24 04:56:03 |
| 3 | ORD-10003 | 21 | 2025-02-13 17:43:43 | shipped | ship | London | ENG | UK | expedited | 68.26 | 14.99 | 5.41 | 0.0 | 88.66 | captured | 2025-02-13 17:43:43 |
| 3 | ORD-10003 | 21 | 2025-02-13 17:43:43 | shipped | ship | London | ENG | UK | expedited | 68.26 | 14.99 | 5.41 | 0.0 | 88.66 | captured | 2025-02-13 17:43:43 |
| 4 | ORD-10004 | 8 | 2025-02-07 13:00:50 | shipped | ship | Calgary | AB | CA | standard | 290.99 | 5.0 | 26.88 | 0.0 | 322.87 | captured | 2025-02-07 13:00:50 |
| 4 | ORD-10004 | 8 | 2025-02-07 13:00:50 | shipped | ship | Calgary | AB | CA | standard | 290.99 | 5.0 | 26.88 | 0.0 | 322.87 | captured | 2025-02-07 13:00:50 |
| 5 | ORD-10005 | 8 | 2025-06-24 03:59:58 | packed | ship | Edmonton | AB | CA | standard | 569.61 | 5.0 | 54.73 | 0.0 | 629.34 | captured | 2025-06-24 03:59:58 |
| 5 | ORD-10005 | 8 | 2025-06-24 03:59:58 | packed | ship | Edmonton | AB | CA | standard | 569.61 | 5.0 | 54.73 | 0.0 | 629.34 | captured | 2025-06-24 03:59:58 |