Segmentation
Dividing your email list into smaller groups based on shared characteristics or behaviors.
Definition
Email segmentation is the practice of dividing your subscriber list into smaller groups (segments) based on specific criteria like demographics, behavior, preferences, or engagement level. This allows you to send more targeted, relevant emails to each group instead of sending the same message to everyone.
Why It Matters
Segmented email campaigns consistently outperform non-segmented ones. Studies show segmentation can increase revenue by 760% because subscribers receive content relevant to their interests and stage in the customer journey. One-size-fits-all emails perform poorly in comparison.
How It Works
Segments are created using filters based on subscriber data and behavior. Common segmentation criteria include: demographics, purchase history, engagement level, signup source, interests, and lifecycle stage. Subscribers can belong to multiple segments and move between them as their data changes.
Best Practices
- 1Start with simple segments and add complexity as you learn
- 2Segment by engagement level to protect deliverability
- 3Use behavior-based segments for highest relevance
- 4Keep segments updated dynamically based on current data
- 5Test segment-specific content and measure the impact
Advanced Segmentation
Sequenzy offers powerful segmentation based on behavior, attributes, tags, and engagement for targeted campaigns.
Learn MoreSegmentation Type Table
| Segment type | Data used | Example campaign |
|---|---|---|
| Demographic | Role, industry, company size, location | Agency-specific onboarding |
| Behavioral | Clicks, purchases, product events | Feature adoption follow-up |
| Lifecycle | Signup age, activation, retention stage | New user onboarding or win-back |
| Engagement | Opens, clicks, replies, inactivity | Re-engagement or VIP content |
Segmentation Strategy Table
| Business goal | Segment to build | Why |
|---|---|---|
| Improve deliverability | Engaged subscribers | Sends strongest campaigns to people likely to interact |
| Increase expansion | High-usage customers near limits | Matches upgrade offers to real need |
| Reduce churn | Declining activity segment | Enables early intervention |
| Improve relevance | Topic preference segment | Sends fewer irrelevant campaigns |
Segmentation QA Table
| Risk | What happens | Prevention |
|---|---|---|
| Overlapping segments | Subscribers receive conflicting emails | Add exclusions and priority rules |
| Stale data | Personalization becomes wrong | Refresh attributes automatically |
| Too many tiny segments | Campaign work becomes unmanageable | Start with high-impact segments |
| Missing fallback | Some subscribers receive nothing | Define default audience rules |