Cohort analysis: what it is and how to use it in marketing

Cohort analysis: what it is and how to use it in marketing

Quick answer: a cohort analysis groups users who share a characteristic or starting moment and observes how they behave over time. It's used to measure retention, repeat behavior, conversion, and the real value of campaigns or products.

What a Cohort Is

A cohort is a group defined by a common condition. For example:

• Users who signed up in January.
• Customers who arrived through a specific campaign.
• Buyers in a particular category.
• Subscribers who downloaded a guide.
• Users who tried a new feature.

The value emerges when you compare how each group evolves afterward.

What Questions It Answers

A cohort analysis helps you find out:

• Which campaign brings in users who come back.
• Whether recent customers retain better than older ones.
• When you lose the most people.
• Which channel generates the most long-term value.
• Whether a product improvement changed behavior.
• Which content attracts more qualified users.

Without cohorts, you can look at the total and think everything's fine even though new users are dropping off sooner.

A Simple Example

Imagine a brand launches three campaigns in different months. Campaign A brings in lots of leads, but almost no one buys. Campaign B brings in fewer leads, but several come back. Campaign C generates few sign-ups, but a high average order value.

Cohort analysis lets you compare those differences by group, not just by initial volume.

How to Apply It to Content

For content, you can create cohorts by:

• First article read.
• Lead magnet downloaded.
• Entry channel.
• Subscription date.
• Editorial campaign.

Then measure whether those people come back, convert, open emails, request a demo, or consume more pieces.

How to Organize It

Use Studio to log campaigns and publication dates. Use Media to store creative assets, reports, dashboards, and campaign versions. Traceability is essential: if you don't know which piece attracted each cohort, you can't learn from it later.

Common Metrics

• Retention by week or month.
• Cumulative conversion.
• Customer lifetime value.
• Repeat purchases.
• Activation.
• Churn.
• Revenue per cohort.

Common Mistake

Don't confuse a cohort with a generic segment. A segment describes a group; a cohort usually analyzes how it evolves over time. The question isn't just "who are they," but "what happened to them afterward."