sequence-architecture

Sequence Architecture

When to Use

• Building a new outbound campaign from scratch
• Restructuring sequences with poor step-2+ engagement
• Designing multi-channel cadences (email + LinkedIn + phone)
• Setting up A/B testing frameworks for sequence optimization

Framework

Sequence Design Principles

1. Every step earns the next — Step 1's job is to get Step 2 opened. Step 2's job is to get a reply. Never front-load everything into Step 1.
2. New value every touch — Each step must introduce a new angle, insight, or proof point. "Following up" is not a strategy.
3. Decay is natural — Open and reply rates drop with each step. Design for this: your best material goes in Steps 1-2, your boldest ask goes in the final step.
4. Variants multiply learning — Run 2-3 subject/body variants per step. At 200+ sends per variant, you have statistical significance.

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The 4-Step Core Sequence

This is the baseline architecture. Adapt timing and angles to your ICP.

Step	Day	Channel	Objective	Angle Strategy
1	0	Email	Open + Reply	Lead with strongest signal or observation
2	3-4	Email	Reply	New value: resource, benchmark, or case study
3	7-8	Email	Reply or Referral	Social proof or creative ideas angle
4	14	Email	Close or Redirect	Breakup ("should I close this out?") or referral ask

Total campaign duration: 14 days Total touches: 4 emails

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Extended Sequence (Multi-Channel)

For high-value accounts or enterprise targets, layer in LinkedIn and phone:

Step	Day	Channel	Objective
1	0	Email	Signal-based opening
2	1	LinkedIn	Connection request with personalized note
3	3	Email	New value angle
4	5	LinkedIn	Engage with their content (like/comment)
5	7	Email	Case study or social proof
6	8	Phone	"Following up on the email I sent"
7	10	LinkedIn	Direct message with resource
8	14	Email	Breakup or referral

Total campaign duration: 14 days Total touches: 8 (4 email + 3 LinkedIn + 1 phone)

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Variant Strategy

Every email step should have 2-3 variants to enable testing:

Variant Type	What You're Testing	Example
Subject variants	Which framing gets opens	A: {{company}} outbound vs B: quick question
Opening variants	Which personalization resonates	A: Signal-based vs B: Problem-based
CTA variants	Which ask gets replies	A: "Worth a look?" vs B: "Want me to send the playbook?"
Angle variants	Which value prop converts	A: ROI-focused vs B: Time-savings-focused

Testing rules:

• Only test ONE variable per variant pair (subject OR body, not both)
• Minimum 200 sends per variant before drawing conclusions
• Winner = highest positive reply rate (not total reply rate — ignore "not interested" replies)
• Rotate winning variants into the "control" and test new challengers

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Timing Optimization

Factor	Recommendation	Why
Send days	Tuesday-Thursday	Monday = inbox overload. Friday = checked out.
Send window	8:00 AM - 11:00 AM prospect's timezone	Caught during morning email triage
Step gaps	3-4 days between emails	Enough to not feel pushy, close enough to maintain context
Reply window	Check within 30 min of sends	Fast replies to "interested" responses 3x close rate
Match lead ESP	Enabled	Send from Gmail to Gmail, Outlook to Outlook — improves deliverability

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Sequence Settings Checklist

Configure these before launching any campaign:

Setting	Value	Reason
Stop on reply	ON	Never email someone who already responded
Stop on auto-reply	OFF	Auto-replies (OOO) shouldn't kill the sequence
Text only	ON	HTML emails trigger spam filters more often
Link tracking	OFF	Tracking pixels and links hurt deliverability
Open tracking	OFF	Same — open tracking = invisible pixel = spam risk
Daily send limit	Per account limits	Respect your email provider's sending limits
Email gap	10-20 minutes	Time between individual sends — avoids burst patterns
Random delay	5-10 minutes	Adds randomness to look human

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Escalation Logic

What happens when the standard sequence doesn't convert:

Standard Sequence (14 days)
    ↓ No reply
Wait 30 days
    ↓
Re-engagement Sequence (different angle, 3 steps)
    ↓ No reply
Wait 60 days
    ↓
Trigger-based Re-entry
    (Only re-enter if new signal detected: funding, hiring, tech change)

Never:

• Re-enroll someone in the same sequence
• Contact someone who explicitly said "not interested"
• Send more than 2 sequences to the same person in 6 months without a new signal

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Campaign Naming Convention

Use a consistent naming structure so performance data is analyzable:

{Client} - {Segment} - {Angle} - {Version}

Examples:

• Acme - Enterprise VP Sales - Hiring Signal - v1
• Acme - SMB Founders - Referral Ceiling - v2
• Acme - Mid-Market Growth - Tech Stack Change - v1

This makes it trivial to filter analytics by client, segment, or angle.

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Architecture Decision Tree

Is the target account high-value (>$50K ACV)?
├── YES → Extended Multi-Channel Sequence (8 touches, 14 days)
│         Layer email + LinkedIn + phone
│         Personalize every touch individually
│
└── NO → Standard 4-Step Email Sequence (4 touches, 14 days)
         Use signal-based personalization at scale
         Rely on variants for optimization

Is this a new persona/segment you haven't tested?
├── YES → Run 3 variants of Step 1 with 200+ sends each
│         Wait for data before building Steps 2-4
│
└── NO → Clone your best-performing sequence
         Swap personalization for new segment
         Keep winning structure intact

Templates

Campaign Launch Checklist

Pre-Launch:
- [ ] ICP and persona defined
- [ ] Lead list built and verified (bounce rate < 3%)
- [ ] Email accounts warmed (2+ weeks, 30+ emails/day)
- [ ] Sequence written (2-3 variants per step)
- [ ] Settings configured (tracking off, text-only, stop on reply)
- [ ] Naming convention applied
- [ ] Test send to yourself and team for QA

Post-Launch (Day 3):
- [ ] Check open rates (target: 60%+)
- [ ] Check bounce rate (must be < 3%)
- [ ] Check spam complaints (must be 0)
- [ ] Review any replies for pattern recognition

Post-Launch (Day 14):
- [ ] Calculate positive reply rate per variant
- [ ] Identify winning variants
- [ ] Document learnings
- [ ] Plan next iteration

Tips

• Build your sequence backwards — write the breakup email first, then work back to Step 1. This forces you to think about the full arc.
• The best Step 2 is a reply to Step 1 (literally in the same thread), not a new email. This uses the "thread effect" for higher opens.
• Don't over-engineer your first sequence. Launch with 4 steps, 2 variants each, and iterate from data. Perfection before launch = wasted time.
• Keep a "swipe file" of every reply you get — positive and negative. The language prospects use to say "yes" and "no" is gold for future copy.
• If your open rate drops below 40% mid-campaign, stop sending. You have a deliverability problem, not a copy problem.

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Progressive disclosure: load channel-specific templates and industry playbooks only when building sequences for a specific campaign.