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Customer Lifetime Value Pipeline
Build a customer lifetime value report. JOIN customers with a derived table that calculates per-customer order stats. Show name, membership, order_count, total_revenue (2 dec), avg_order_value (2 dec), days_as_customer (from signup to latest order), and value_tier (NTILE(4) over total_revenue: 1='Platinum', 2='Gold', 3='Silver', 4='Bronze'). Sort by total_revenue descending. This multi-step pipeline is a real Amazon/Stripe interview question because it combines JOINs, aggregation, date math, and window functions in one query.
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Schema
orders
| order_id | customer_id | product | category | quantity | price | total | order_date | country | status |
|---|---|---|---|---|---|---|---|---|---|
| 1 | 1 | Laptop Pro | Electronics | 1 | 1299.99 | 1299.99 | 2024-01-15 | USA | completed |
| 2 | 2 | Wireless Mouse | Electronics | 2 | 49.99 | 99.98 | 2024-01-16 | Canada | completed |
| 3 | 3 | Office Chair | Furniture | 1 | 349.99 | 349.99 | 2024-01-17 | USA | completed |
customers
| customer_id | name | signup_date | membership | total_orders | |
|---|---|---|---|---|---|
| 1 | John Smith | john.smith@email.com | 2023-01-15 | Gold | 15 |
| 2 | Emma Wilson | emma.wilson@email.com | 2023-03-20 | Silver | 8 |
| 3 | Michael Brown | michael.brown@email.com | 2023-02-10 | Gold | 12 |
Expected output: Platinum tier, avg $500
Hint
Concepts
SELECT JOIN Subquery Window Functions NTILE GROUP BY CASE Date Functions Multi-JOIN + Derived Table
Practise the topic: SQL practice questions · JOIN practice · CTE practice · Window function practice · GROUP BY exercises · CASE WHEN practice · Date function practice · Ranking function practice · Advanced SQL interview questions
In these company practice sets
Airbnb · Amazon · Google · Shopify · Stripe
A SQL Quest challenge matched to patterns reported for these companies — not a question any of them has published.
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