Join and Aggregate User Behavior | Dataford Interview Questions

Dentsu International's Merkury audience activation data includes users, campaigns, and behavioral events. Write a PostgreSQL query that summarizes campaign performance during January 2025.

Requirements

Use campaigns as the reporting base so campaigns with no in-window activity remain in the output.
Count distinct engaged users and calculate impressions, clicks, conversions, and total conversion value.
Calculate click-through rate as clicks divided by impressions and conversion rate as conversions divided by clicks. Return NULL when the denominator is zero.
Order results by campaign_id ascending.

Schema

users

Column	Type	Description
user_idPK	INT	Unique audience user identifier
user_name	VARCHAR(100)	User display name
segment	VARCHAR(50)	Audience segment assigned to the user

campaigns

Column	Type	Description
campaign_idPK	INT	Unique campaign identifier
campaign_name	VARCHAR(150)	Campaign name
channel	VARCHAR(50)	Marketing activation channel

user_events

Column	Type	Description
event_idPK	INT	Unique behavioral event identifier
user_id	INT	User associated with the event
campaign_id	INT	Campaign that generated the event
event_time	TIMESTAMP	Timestamp when the event occurred
event_type	VARCHAR(30)	Behavioral event type
event_value	DECIMAL(12,2)	Attributed monetary value, generally populated for conversions

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