Email list segmentation groups subscribers by shared traits or behavior so you can send each group more relevant campaigns. It can support better engagement and business results, but it does not guarantee higher revenue or ROI. Start with a business goal, choose a useful audience and message, then test outcomes against a suitable baseline.
What email segmentation is—and how it differs from personalization
Email segmentation divides a subscriber list into groups using shared characteristics, such as interests, location, purchase history, or engagement. The group receives a campaign tailored to what its members have in common. Mailchimp’s guide to email list segmentation distinguishes this from personalization: segmentation determines which group receives a campaign, while personalization adapts content for a subscriber, such as including their first name. The two approaches can be used together, but they are not interchangeable.
A segment is a way to carry out a marketing strategy, not an objective by itself. As Klaviyo puts it: “The goal isn’t to create segments, the goal is a business need.”
Why segmentation can matter for campaign performance
A single message may be irrelevant to part of a mixed audience. Grouping subscribers by a meaningful difference gives marketers a way to make the message, timing, or offer more relevant. That can affect engagement, but it does not establish that segmentation alone caused a change in revenue. Performance depends on the audience, the criteria, the campaign, and how results are measured.
#1 Best Overall
Mailchimp’s February 1, 2017 analysis compared segmented and non-segmented campaigns sent by its own users. It sampled about 2,000 users, who sent about 11,000 segmented campaigns to almost 9 million recipients. In that comparison, segmented campaigns had 14.31% higher opens, 10.64% higher unique opens, and 100.95% higher clicks; they also had 4.65% lower bounces, 3.90% lower abuse reports, and 9.37% fewer unsubscribes. These are historical, platform-specific observational results—not a controlled causal estimate or a forecast for a particular business. Mailchimp cautions that implementation changes the results; its subcategory findings were mixed, with date-added targeting showing higher opens and clicks but also higher bounces, abuse reports, and unsubscribes. Read Mailchimp’s analysis and its qualifications.
Klaviyo’s benchmark page describes a separate dataset of 2,619,441,297 emails sent by US-based Klaviyo customers from October 1 through December 31, 2017. That scope is useful context, but it is not a current market-wide estimate. Klaviyo’s benchmark page does not establish a universal ROI lift. No recent independent, controlled estimate in the cited material shows that segmentation produces a fixed return across businesses.
Rank #2
Criteria you can use to build segments
Choose criteria that connect to the campaign’s goal and that your organization can collect and keep accurate. Possible dimensions include:
- Demographic or geographic: location or another relevant profile attribute, when it changes what information or offer is useful.
- Interests and preferences: topics or product categories a subscriber has explicitly chosen to receive.
- Behavior: purchases, purchase frequency or amount, abandoned carts, site activity, or prior email engagement.
- Lifecycle stage: prospects, new customers, repeat customers, or lapsed customers, using definitions that fit your business.
- Email engagement: recent activity or inactivity, used thoughtfully to distinguish active audiences from potential re-engagement groups.
For a goal tied directly to customer action, behavior can be a useful starting point. Klaviyo gives purchase frequency, purchase amount, and abandoned-cart history as examples. Profile or interest data can add context, but collecting more attributes is not automatically better if they do not change the campaign decision. Klaviyo’s guidance on segmentation and Salesforce’s overview of email segmentation describe these kinds of criteria.
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How to implement segmentation without overcomplicating it
- Set a business objective. Decide what result you want, such as encouraging repeat purchases, helping new subscribers find relevant material, or re-engaging lapsed customers. Do not begin by creating segments simply because the tool allows it.
- Choose the audience, offer, and message. Identify the group whose needs relate to the objective, then decide what useful message or offer it should receive.
- Start with data you already trust. Create a few clear groups based on meaningful differences rather than splitting the list by every available attribute. HubSpot suggests beginning with two or three segments as a practical starting point, not a rule that fits every business. See HubSpot’s segmentation examples.
- Use criteria that reflect the objective. If the campaign is meant to encourage another purchase, for example, purchase history may be more directly relevant than a broad demographic category.
- Send the campaign and review results. Compare results by segment and against a suitable baseline. Look at the metric closest to the business objective, not just the easiest one to report.
- Refine or retire segments. Update criteria when customer behavior or lifecycle stage changes. Keep a segment only when it changes a meaningful campaign decision, and monitor subscriber feedback.
How to measure whether segmentation contributes to ROI
Match the measure to the outcome you intended. Opens and clicks can help diagnose engagement; conversions and purchases are closer to commercial outcomes. An increase in opens alone does not show that revenue rose, and it does not prove segmentation caused a revenue change.
- For engagement goals: review relevant activity such as clicks, while accounting for the campaign and audience being compared.
- For conversion goals: track the action that counts as a conversion and use the same definition across the comparison.
- For revenue or ROI: state how revenue is attributed to the campaign and account for campaign-related costs. Compare against a defensible baseline or a test that can support the conclusion you want to draw.
Attribution choices affect the result: a revenue figure depends on which purchases are credited to an email and over what period. The cited guidance does not establish one universal attribution window or cost formula, so document the method used rather than presenting a calculation as a standard that applies everywhere. Klaviyo and Mailchimp both emphasize goal-setting and reviewing campaign performance. Klaviyo’s benchmark guidance and Mailchimp’s segmentation guide provide further context.
Rank #4
Can email segmentation be automated?
Yes. Email platforms can maintain segments or trigger workflows using rules tied to customer data and behavior. A CRM or customer-data system may store the relevant attributes; analytics and reporting tools can help compare outcomes. Integration matters when information needs to move between systems. Salesforce describes CRM, analytics, email marketing platforms, and marketing automation as supporting parts of this work. Salesforce’s guide outlines the role of these tools.
When evaluating a tool or combination of tools, check whether it can:
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- Build segments from the behaviors and lifecycle conditions relevant to your goal.
- Update rules dynamically or trigger workflows when behavior changes.
- Connect campaign activity to conversions or revenue in reporting.
- Fit the team’s day-to-day operating needs.
These capabilities are evaluation criteria, not a vendor ranking. The cited material does not establish current prices or plan-specific feature availability.
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