Segmentation & Personalisation — Email Marketing

The retailer who doubled revenue by splitting one list into three

In 2020, an online home décor retailer had 45,000 email subscribers. They sent the same promotional emails to everyone: new arrivals, seasonal sales, and monthly newsletters. Revenue from email: £180,000 per year.

Their email manager noticed something in the data: customers who had purchased twice in the last 12 months had an average order value 2.4× higher than first-time buyers. Newsletter readers who had never purchased had the lowest click-through rates in the list.

She proposed splitting the list into three segments:

Segment A: Never purchased — sent educational content about the brand, social proof, and a first-purchase offer Segment B: Purchased once — sent "complete the look" recommendations, replenishment reminders, and new arrival alerts Segment C: Purchased 2+ times — VIP treatment: early access to new collections, exclusive products, a loyalty programme invitation

Same email platform. Same product catalogue. Same marketing team. Three different email strategies for three different customer types.

Year-end revenue from email: £340,000.

Not because they found new customers. Because they sent more relevant messages to existing ones.

(Illustrative scenario based on patterns common in e-commerce email marketing. Specific figures are representative of real-world outcomes from purchase-frequency segmentation — revenue uplifts of 50–100%+ from basic list segmentation are well-documented in email marketing case studies.)

What segmentation is

Segmentation is dividing your email list into groups and sending each group more relevant content than they'd receive as part of the undivided list.

Why segmentation works:

Relevant emails have higher open rates (the subscriber knows it applies to them)
Relevant emails have lower unsubscribe rates (people don't unsubscribe from things they find useful)
Relevant emails convert better (the offer matches the subscriber's actual situation)
Relevant emails improve deliverability (engaged subscribers signal quality to email providers)

The five types of segmentation

1. Demographic segmentation Dividing by who they are:

Location (send time zone-specific emails; promote region-specific events or offers)
Job title or company size (B2B: send different content to founders vs. marketers vs. sales reps)
Age or life stage (consumer: new parents vs. retirees have different needs)

Collected via: sign-up forms with optional fields, survey questions, CRM data

2. Behavioural segmentation Dividing by what they do:

Purchase history (buyers vs. non-buyers; one-time vs. repeat buyers; high-value vs. low-value)
Email engagement (active openers vs. occasional openers vs. inactive)
Website activity (visited pricing page, read specific content, used free tool)
Link clicks in email (clicked product link, downloaded resource, visited specific section)

Collected via: email platform tracking, website pixels, e-commerce integration

3. Psychographic segmentation Dividing by what they care about:

Stated interests (checked boxes on a preferences centre or sign-up survey)
Content topics engaged with (opened all your SEO emails but not the social media ones)
Goals or challenges (beginner vs. advanced; scaling vs. optimising)

Collected via: preference surveys, content engagement patterns, segmentation questions in emails

4. Customer journey stage segmentation Dividing by where they are in the relationship:

New subscribers (< 30 days on list)
Engaged leads (opens regularly, hasn't bought)
First-time buyers
Repeat buyers
Lapsed customers (bought once, 6+ months ago, nothing since)

Collected via: purchase data, subscription date, email engagement history

5. Source/acquisition segmentation Dividing by how they joined:

Lead magnet A vs. lead magnet B (different problems = different content needs)
Referral from partner vs. organic discovery
Paid ad vs. organic content

Collected via: tagging at point of opt-in

Personalisation: making it feel 1-to-1

Personalisation is using subscriber data to make emails feel individually written — even when they're automated.

Levels of personalisation:

Level 1 — First name: Hi {{first_name}}, in the subject line or opening increases open rates by 5–15% when used sparingly (widely cited in email marketing literature; note open-rate benchmarks are inflated by Apple Mail Privacy Protection post-2021 — treat as directional). Overuse (every email, every subject line) normalises it and the effect diminishes.

Level 2 — Segment-specific content: The entire email is written for a specific segment. A repeat buyer gets a different email than a prospect — not just a different subject line but completely different content, offer, and tone.

Level 3 — Dynamic content blocks: Within the same email template, different content appears for different segments. An email shows Segment A a beginner guide link; Segment B gets an advanced resource; everyone else sees the default. One email template, three different experiences.

Level 4 — Behavioural personalisation: Content driven by specific subscriber actions. "You looked at the [product] recently — here's what other customers who bought it said." (Used heavily in e-commerce platforms like Klaviyo.)

Level 5 — Predictive personalisation: Platform algorithms predict what content each subscriber is most likely to engage with and dynamically personalise accordingly. This is enterprise-level capability (Salesforce Marketing Cloud, Braze) — most small businesses don't need or use it.

💭You're Probably Wondering…

There Are No Dumb Questions

"Do I need to segment my list from day one?"

No. Segmentation requires data — data you don't have when you have 50 subscribers. Start by delivering excellent emails to everyone. As your list grows (typically after 1,000+ subscribers), segmentation becomes worthwhile: you'll have enough data to be meaningful and enough subscribers in each segment to justify different content. For a beginner: focus on building a healthy, engaged list first. Add segmentation when you notice patterns worth acting on — like the home décor retailer who spotted the purchase-frequency revenue gap.

"Isn't it a lot of work to create separate emails for different segments?"

It depends on the segmentation depth. Basic segmentation (buyers vs. non-buyers) might mean maintaining two versions of a promotional email — not dramatically more work, especially when the revenue difference justifies it. Advanced segmentation with dynamic content is technical work upfront, but the personalisation runs automatically once set up. Most email platforms include drag-and-drop segment builders and dynamic content tools — the technical barrier is lower than it sounds.

The preference centre: letting subscribers segment themselves

One of the most effective and respectful segmentation tactics is a preference centre — a page where subscribers can tell you what content they want to receive.

Options a preference centre might offer:

Content topics (strategy / tactics / industry news / case studies)
Send frequency (weekly / bi-weekly / only major announcements)
Business type (e-commerce / service business / B2B / creator)
Role (founder / marketer / designer / developer)

When subscribers self-select their preferences, you get accurate segmentation data — and they get more relevant emails, reducing unsubscribes.

The preference centre CTA: Include a preference centre link in your welcome sequence ("Want to make sure you only receive content that's relevant to you? Update your preferences here.") and in your email footer.

Practical segmentation for beginners

If you're new to segmentation, start with these three segments — they require minimal setup but generate meaningful relevance improvement:

Segment 1: New subscribers (< 30 days) They're in your welcome sequence. Don't also send them promotional campaigns while they're in the sequence — it creates a confusing, high-volume experience.

Segment 2: Buyers vs. non-buyers For any business that sells products or services: sending purchase-focused promotional emails to existing customers should differ from sending the same to leads who've never bought. Existing customers don't need to be persuaded to trust you — they need upsell, cross-sell, or retention content.

Segment 3: Engaged vs. unengaged Define "engaged" as opened at least one email in the past 60 days. Send re-engagement content to the unengaged segment separately. This protects deliverability and prevents wasted send effort.

⚡

Build Your Segmentation Strategy

25 XP

Design a segmentation strategy for your email list. Deliverables: 1. **Current list size and context:** How many subscribers? Any segmentation currently in place? 2. **Your first three segments:** Define 3 subscriber groups that would benefit from different content. For each: - Segment name and description - How they join this segment (purchase, tag, engagement behaviour, etc.) - What content this segment needs that others don't - What the key email difference would be (a different offer, a different topic, a different CTA) 3. **Personalisation plan:** Where in your emails will you use first-name personalisation? (Subject lines? Opening line?) What would Level 3 dynamic content look like for your most common email? 4. **Data collection:** What information do you need to segment properly that you don't currently collect? How will you collect it? (Sign-up form fields, post-subscribe survey, engagement tracking) 5. **Priority:** Which single segmentation would have the biggest immediate impact on revenue or engagement? Why? _Start with two segments if three feels overwhelming: buyers and non-buyers, or active openers and inactive subscribers. The value of segmentation compounds over time — small initial improvements in relevance create large improvements in long-term list health and revenue._

Back to the home décor retailer

The list didn't grow. The revenue did. The same 45,000 subscribers received more relevant messages, and revenue went from £180,000 to £340,000 — not because the team worked harder, but because they stopped treating every subscriber as identical. First-time buyers got education and social proof. Loyal customers got VIP access and exclusive products. Neither group got the email meant for the other. Segmentation is simply the discipline of respecting that different people on the same list are in different situations — and that relevant messages outperform broadcast every time.

Key takeaways

Relevance drives every email metric. Segmented, relevant emails have higher open rates, lower unsubscribes, better deliverability, and higher conversion than unsegmented broadcasts.
Segmentation types: demographic, behavioural, psychographic, journey stage, and acquisition source. Behavioural segmentation (what they do) is typically more valuable than demographic segmentation (who they are).
Personalisation goes beyond first names. Level 2 (segment-specific content) and Level 3 (dynamic content blocks) drive more lift than simple name insertion.
Preference centres give you data and reduce unsubscribes. Subscribers who curate their own preferences stay longer and engage more.
Start simple: buyers vs. non-buyers, and engaged vs. inactive. Two segments, executed well, outperform zero segmentation by a wide margin.

Knowledge Check

1.An e-commerce brand sends the same 'New Collection' promotional email to their entire 60,000-person list. The click-through rate is 1.8%. A marketer suggests splitting the send: existing customers get a 'You'll love what's new' email with personalised recommendations based on past purchase history; first-time visitors get a 'Discover our brand' email with bestsellers and social proof. What outcome should the brand expect, and why?

2.A SaaS company includes first-name personalisation in every subject line: 'Sarah, here's your weekly digest,' 'Sarah, check out this feature,' 'Sarah, don't miss this webinar.' After 3 months, open rates are flat despite the personalisation. What explains this?

3.A newsletter creator has 8,000 subscribers but sends every subscriber the same email regardless of their interests. Their unsubscribe rate after educational emails is 0.1% but after promotional emails it's 2.8%. What segmentation would most reduce the promotional email unsubscribe rate?

4.An email marketer wants to start segmenting but has no purchase data, no CRM integration, and no form fields beyond 'email address'. What is their most practical first segmentation step?