Segment email lists for targeted, relevant messaging that improves engagement and conversion. Use when personalizing email campaigns.
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Use this skill when:
Before segmenting, clarify:
Based on who the subscriber IS.
| Data Point | Use Case | Example |
|---|---|---|
| Location | Localized offers, events, timezone-based sends | "Stores near you in [city]" |
| Age/generation | Tone, product recommendations, cultural references | Gen Z messaging vs Boomer messaging |
| Gender | Product lines, imagery, offers | Women's vs Men's product lines |
| Job title/role | B2B content relevance | CMO receives strategy content; manager receives tactical content |
| Company size | B2B solution positioning | Enterprise vs SMB messaging |
| Industry | Vertical-specific case studies and solutions | SaaS vs e-commerce examples |
Limitation: Demographics tell you who someone is but not what they want right now. Always supplement with behavioral data.
Based on what the subscriber DOES. This is the most powerful segmentation type.
| Behavior | Segment Logic | Message Strategy |
|---|---|---|
| Pages visited | Visited pricing page | Sales sequence, demo offer |
| Content consumed | Downloaded [specific lead magnet] | Nurture on that topic |
| Email engagement | Opened 5+ emails in 30 days | VIP content, early access |
| Purchase history | Bought Product A | Cross-sell Product B |
| Cart abandonment | Added to cart but didn't purchase | Abandonment recovery sequence |
| Feature usage (SaaS) | Used Feature X but not Feature Y | Feature education email |
| Event attendance | Attended webinar on [topic] | Follow-up with related content |
| Inactivity | No open in 60+ days | Re-engagement sequence |
Based on what the subscriber VALUES. Harder to collect but highly effective.
| Psychographic | How to Identify | Message Angle |
|---|---|---|
| Price-sensitive | Clicks on discounts, waits for sales | Lead with deals and value |
| Quality-focused | Buys premium, reads reviews | Lead with quality and craftsmanship |
| Convenience-driven | Fast checkout, repeat purchases | Lead with ease and speed |
| Status-seeking | Buys new releases, trending items | Lead with exclusivity and trends |
| Values-driven | Engages with mission content | Lead with impact and purpose |
Collection methods: Surveys, quizzes, preference centers, behavioral inference (clicking discount emails = price-sensitive).
Based on where the subscriber is in their journey.
Subscriber → Lead → MQL → SQL → Customer → Repeat Customer → Advocate → Churned
| Stage | Segment Criteria | Email Strategy |
|---|---|---|
| New subscriber | Joined in last 14 days | Welcome sequence |
| Engaged lead | Active but hasn't purchased | Nurture + soft sell |
| Sales-qualified | Visited pricing, demo request | Sales sequence |
| New customer | First purchase in last 30 days | Onboarding + post-purchase |
| Repeat customer | 2+ purchases | Loyalty, cross-sell, referral |
| Advocate | High NPS, referrals, reviews | Ambassador program, exclusives |
| At-risk | Activity declining | Re-engagement before churn |
| Churned | No activity in 180+ days | Winback or sunset |
Recency, Frequency, Monetary — primarily for e-commerce and transactional businesses.
| Segment | R | F | M | Strategy |
|---|---|---|---|---|
| Champions | Recent | Frequent | High spend | Reward, exclusives, referral asks |
| Loyal | Recent | Frequent | Moderate | Upsell, loyalty program |
| Potential loyalists | Recent | Low freq | Moderate-High | Nurture to increase frequency |
| New customers | Very recent | Low | Low-Moderate | Onboard, second-purchase incentive |
| At risk | Not recent | Was frequent | Was high | Winback offer, "we miss you" |
| Hibernating | Not recent | Low | Low | Re-engage or sunset |
| Lost | Very old | Low | Low | Final winback or remove |
Scoring: Rate each dimension 1-5 (1=low, 5=high). Combine for composite scores. A 5-5-5 is a champion. A 1-1-1 is lost.
Every segment must have a corresponding message strategy. Use this template:
Segment: [Name]
Criteria: [How someone enters this segment]
Size: [Approximate count]
Goal: [What action do we want from this segment?]
Message angle: [What value proposition resonates?]
Offer type: [What incentive or CTA?]
Tone: [How does communication style differ?]
Frequency: [How often do we email this segment?]
Exit criteria: [When does someone leave this segment?]
Segment: High-Intent Trial Users
Criteria: SaaS trial user who has used 3+ features in first 7 days
Size: ~800/month
Goal: Convert to paid plan
Message angle: "You're already getting value — unlock the full experience"
Offer type: 20% first-month discount or extended trial
Tone: Encouraging, data-driven, specific to their usage
Frequency: Every 2-3 days during trial period
Exit criteria: Converts to paid OR trial expires
Progressive profiling collects data gradually, over multiple interactions, instead of asking for everything upfront.
Interaction 1 (Signup): Email + first name only.
Interaction 2 (Welcome email click): Track which link they click = interest area. No asking required.
Interaction 3 (Preference center email, Day 7): "What topics interest you most?" — 3-5 checkboxes.
Interaction 4 (Survey, Day 30): "Quick question: what's your biggest challenge with [topic]?" — single question.
Interaction 5 (Content quiz, Day 60): Interactive quiz that provides personalized results + captures data.
After Interaction 5: You have enough data for rich segmentation without ever asking for a long form.
| Segment Size | Viability | Action |
|---|---|---|
| Under 100 | Too small for email | Combine with adjacent segment |
| 100-500 | Marginal | Use for high-value segments only (enterprise leads) |
| 500-2,000 | Viable | Good for targeted campaigns |
| 2,000-10,000 | Ideal | Large enough for testing and reliable metrics |
| 10,000+ | Very strong | Can sub-segment further |
If a segment is too small: Broaden the criteria or merge with a related segment. Maintaining a tiny segment that requires unique content is rarely worth the effort.
| Level | What It Looks Like | Data Needed |
|---|---|---|
| Level 0 | Same email to everyone | Email address |
| Level 1 | "Hi [First Name]" | First name |
| Level 2 | Segment-based messaging | Segment data (role, interest, lifecycle) |
| Level 3 | Behavioral triggers | Website/app behavior data |
| Level 4 | Dynamic content blocks | Multiple data points per subscriber |
| Level 5 | Predictive/AI-driven | Full behavioral + demographic data + ML model |
The sweet spot for most teams is Level 2-3. Levels 4-5 require significant data infrastructure and content production capacity.
Use this template to document your segmentation strategy:
SEGMENTATION STRATEGY — [Brand/Product Name]
1. Primary Segmentation Axis: [Lifecycle / Behavioral / Demographic]
2. Number of Active Segments: [3-7 recommended]
SEGMENT 1: [Name]
Criteria: [Entry rules]
Size: [Count]
Email strategy: [Sequences and campaigns this segment receives]
Personalization: [What is customized for this segment]
KPIs: [How success is measured for this segment]
SEGMENT 2: [Name]
[Same fields]
[Continue for each segment]
DATA COLLECTION PLAN:
Signup fields: [What's collected at signup]
Progressive profiling: [What's collected over time and how]
Behavioral tracking: [What actions are tracked]
REVIEW CADENCE:
[Monthly / Quarterly review of segment performance and criteria]
Before launching segmented campaigns, verify: