Learn Relating Events to Campaigns | Event-based Data Modeling

When you want to analyze the effectiveness of marketing campaigns, you need to connect user actions to the campaigns that influenced them. In your database, the campaign_id field acts as a bridge between the events and campaigns tables. Each event, such as a page view or purchase, may include a campaign_id to indicate which marketing campaign prompted that action. By linking these tables using campaign_id, you can perform campaign-level analysis—measuring how many events, purchases, or other actions are driven by each campaign.

Note

Linking events to campaigns allows marketers to measure campaign effectiveness and user engagement. By analyzing which events are tied to specific campaigns, you can determine which campaigns generate the most activity or conversions.

A common pitfall when relating events to campaigns is the presence of missing or NULL values in the campaign_id field. This can happen if an event was not triggered by a marketing campaign, or if the campaign information was not properly recorded. When analyzing event data, you need to decide how to handle these cases. You might exclude events with missing campaign_id values, group them as "organic" or "unknown", or investigate further to improve data quality. Being aware of these issues helps you avoid skewed results and ensures your analysis accurately reflects campaign performance.


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-- Count events per campaign, filtering for active campaigns only
SELECT c.campaign_name,
  COUNT(e.event_id) AS event_count
FROM campaigns c
JOIN events e
ON c.campaign_id = e.campaign_id
GROUP BY c.campaign_name
ORDER BY event_count DESC;

This query shows how many events are linked to each currently active marketing campaign;
It joins the campaigns and events tables using the campaign_id field;
The results are grouped by campaign name and ordered so the campaigns with the most events appear first.

Task

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Write a SQL query that joins the events and campaigns tables to display all events along with their corresponding campaign names. Your result must include the following columns:

event_id;
user_id;
event_type;
event_timestamp;
campaign_name.

Order the results by event_timestamp in ascending order.

Use a join to connect the events and campaigns tables using the campaign_id field.
Include all events, even if some do not have an associated campaign.
Do not filter or exclude any events.
Order your output by event_timestamp so the earliest events appear first.

Solution

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