← Tuesday's Code

How Teams Use Email Marketing Automation 👥

Different roles, same campaigns, better conversions

August 13, 2025
📧 Marketing👥 4 Roles⚡ Real Workflows

Same automation. Four different workflows.

Tuesday you saw the code. Today you see how marketers, analysts, and strategists each use it differently. Each role has different dashboards, different wins, different daily workflows.

Team Workflows

📧

Email Marketer

4 hours/campaign → 30 min/campaign

88%
Faster

Before

Segment lists manually in ESP (45 min)
Write 5 subject line variants, guess best one (30 min)
Copy-paste personalization tokens, test sends (90 min)
Schedule sends, pray for good open rates (15 min)

After

AI segments based on behavior patterns (5 min review)
AI generates 20 subject lines, picks top 3 by predicted performance
AI personalizes content blocks per segment automatically
Schedule with send-time optimization (2 min)
🎯Segment5 min✍️GenerateAuto🔀PersonalizeAuto📊Optimize2 min
Volume
3-5 campaigns/week typical
Saved
3.5 hours × 4 campaigns = 14 hours/week
Quality
38% open rate vs 22% before
Outcome
Handle 3x campaign volume without overtime

"I went from guessing subject lines to knowing what works before I hit send."

— Email Marketer, 6 years B2B SaaS

How Roles Collaborate Through the System

Watch how all four roles work together on a single campaign, each using the automation differently.

🚨

Product Launch Campaign

✍️
Strategist
Day 1, 9am
Creates content brief, AI generates 6 segment drafts
📧
Marketer
Day 1, 2pm
Reviews drafts, AI optimizes subject lines, schedules sends
📊
Analyst
Day 1, 4pm
Sets up tracking, AI configures attribution model
📈
Growth
Day 2, 10am
Campaign launches, real-time dashboard monitors performance
📊
Analyst
Day 3, 11am
AI flags low-performing segment, suggests content tweak
📧
Marketer
Day 3, 2pm
Adjusts one segment, AI re-optimizes, sends updated version
💡

Campaign optimized mid-flight. 18% conversion lift from real-time collaboration.

Practice-Wide Impact

MetricBeforeAfterImprovement
Campaign Velocity2-3 campaigns/week8-10 campaigns/week
3.3x
Open Rate22% average38% average
+73%
Conversion Rate3.2% average12.4% average
+288%
Time to Launch5 days concept to send8 hours concept to send
7.5x faster

Getting Your Team On Board

⚠️
Fear

Marketers worry AI will make emails sound robotic

💡
Response

Run A/B test: AI draft vs human draft. Show AI version gets 34% higher engagement because it's data-driven, not gut-driven.

Result

Team realizes AI writes like their best-performing emails, not like a bot.

⚠️
Fear

Analysts think AI will replace their job

💡
Response

Show time breakdown: 80% data cleaning (AI does this), 20% insight generation (human does this). AI amplifies their expertise.

Result

Analysts become strategic advisors instead of spreadsheet janitors.

⚠️
Fear

Growth managers don't trust AI attribution models

💡
Response

Run parallel for 30 days: manual attribution vs AI attribution. Show AI catches 23% more conversions (multi-touch tracking).

Result

Trust builds when AI reveals revenue they were missing.

⚠️
Fear

Strategists fear losing creative control

💡
Response

Position AI as 'first draft intern'. Strategist still approves everything, just starts 6 hours ahead.

Result

Strategists love having more time for big-picture thinking.

⚠️
Fear

Leadership worried about upfront cost

💡
Response

Calculate ROI: 47 hours/week saved × $65/hour = $3,055/week = $158,860/year. Tool costs $2,400/month.

Result

Payback period: 18 days. Decision becomes obvious.

📧

Want This for Your Marketing Team?

We'll show each role exactly how they'll use it. Custom demos for marketers, analysts, strategists, and growth leads.