Select Top Customers Using Transaction Data Filters

transactions

+----+---------+------------+--------+
| id | user_id | order_date | amount |
+----+---------+------------+--------+
| 1  | 101     | 2023-01-01 | 120.50 |
| 2  | 102     | 2023-01-08 | 75.00  |
| 3  | 101     | 2023-02-02 | 200.00 |
| 4  | 103     | 2023-02-10 | 40.00  |
| 5  | 104     | 2023-03-12 | 150.00 |
+----+---------+------------+--------+

Scenario

Retail promotion targeting based on historical transaction data.

Question

Given a transactions table, select the customers who satisfy the provided campaign filters.

From those customers select exactly five with the highest total order count.

Explain how you would break ties if more than five customers meet the top-5 criterion.

Hints

Aggregate by customer, ORDER BY order_cnt DESC, LIMIT 5; add secondary sort (e.g., most recent order date or random) for deterministic tie-breaking.

Top Five Customers by Orders After Campaign Filter

Using the transactions table, apply this campaign filter: orders placed between '2023-01-01' (inclusive) and '2024-01-01' (exclusive) with amount >= 100. Among the filtered transactions, aggregate by user_id to compute each customer's order count (order_cnt) and most recent order date (last_order_date). Return up to five customers with the highest order_cnt. Break ties deterministically by last_order_date descending, then user_id ascending. Return columns user_id, order_cnt, last_order_date.

Table transactions

column	type	constraints
id	INTEGER	PRIMARY KEY, NOT NULL
user_id	INTEGER	NOT NULL
order_date	DATE	NOT NULL
amount	DECIMAL(10,2)	NOT NULL

Sample data:

amount	id	order_date	user_id
120.5	1	2023-01-01	101
75	2	2023-01-08	102
200	3	2023-02-02	101
40	4	2023-02-10	103
150	5	2023-03-12	104

Expected output

After filtering to 2023 orders with amount >= 100, return up to five customers ordered by order_cnt DESC, last_order_date DESC, user_id ASC. On the sample data, only users 101 and 104 qualify.

last_order_date	order_cnt	user_id
2023-02-02	2	101
2023-03-12	1	104

Hints

1. Filter transactions to 2023 with amount >= 100 before aggregating.
2. Aggregate per user_id and use ROW_NUMBER() with the specified ordering to deterministically select the top five.