AI-Automated Email Marketing

Welcome email prompt:

Write a welcome email for new subscribers to [PRODUCT/NEWSLETTER].

Tone: [Friendly/Professional/Exciting]
Length: 150-200 words

Include:
- Thank them for subscribing
- Set expectations (what they'll get, how often)
- Highlight #1 benefit
- Suggest first action (read guide, watch video, etc.)
- Sign off with [YOUR NAME]

Subject line: Create 3 options that:
- Are 40-50 characters
- Create curiosity or promise value
- Feel personal, not corporate

1. Trigger: New subscriber in Mailchimp (or schedule: every Monday 9am)
2. AI step: Send prompt to Claude/GPT with subscriber data (name, signup source)
3. Parse response: Extract subject line and body from AI output
4. Action: Create campaign in Mailchimp with generated content
5. Optional: Send to you for review before sending

Example: Product recommendation email

Data passed to AI:
- Subscriber name: Sarah
- Last purchase: Running shoes
- Browsed: Athletic socks, water bottles
- Interests (from signup): Marathon training

AI generates:
Subject: "Sarah, complete your marathon training setup"

Body:
"Hey Sarah, noticed you grabbed those Nike running shoes last week! 
To round out your marathon training gear, here are 3 items other 
runners swear by:

1. [Moisture-wicking socks] - Prevent blisters on long runs
2. [Hydration vest] - Stay fueled for 20+ mile days  
3. [Foam roller] - Recovery is half the battle

Use code MARATHON15 for 15% off your next order.

Happy training!"

1. AI creates 3 subject lines with different angles (benefit, curiosity, urgency)
2. Send each to 10% of list
3. After 2 hours, identify winner based on open rate
4. Send winning version to remaining 70%
5. Track which angle works best over time
6. AI learns and applies insights to future emails

Email 1 (Day 0): "We miss you"

Friendly check-in, ask if content is still relevant

Email 2 (Day 3): "Has something changed?"

Offer to update preferences or reduce frequency

Email 3 (Day 7): "Last chance - special offer"

Incentive to re-engage (discount, free resource)

Email 4 (Day 14): "Goodbye (with easy return)"

Unsubscribe them but leave door open to rejoin

Setup: AI monitors cart abandonment events from Shopify

Workflow:

1. Customer adds items to cart but doesn't checkout
2. After 1 hour, AI generates personalized email:
   • References specific products in cart
   • Addresses common objections (shipping cost, sizing doubts)
   • Offers time-limited discount (10% for next 24h)
3. If no response after 24h, send follow-up with social proof
4. After 72h, final email with urgency (stock running low)

Results: 18% cart recovery rate, $45K additional revenue/month

Challenge: 60% of trial users never completed setup

Solution: Behavior-triggered email sequence

• →Day 1: Welcome + quick start guide (if they haven't logged in)
• →Day 2: Feature highlight based on use case they selected
• →Day 4: Case study from similar company (AI matches industry)
• →Day 7: "Still stuck?" offer 1-on-1 demo

Results: Setup completion up to 82%, trial-to-paid conversion +35%

Teach AI these patterns:

• ✅ "Quick question about [specific topic]" (curiosity)
• ✅ "You left these in your cart" (urgency + personalization)
• ✅ "3 ways to [achieve desired outcome]" (value promise)
• ✅ "Sarah, this reminded me of you" (personal touch)
• ❌ "AMAZING SALE!!!" (spammy)
• ❌ "Newsletter #47" (generic)
• ❌ "You won't believe this" (clickbait)

Opening (1 sentence):
Hook with benefit or question

Body (2-3 short paragraphs):
- Problem or opportunity
- Your solution
- Why it matters now

CTA:
- One clear action
- Button or link
- Create urgency if appropriate

Sign-off:
- Personal sign-off
- P.S. with extra incentive or social proof

• →Open rate: Benchmark 20-30% for most industries
• →Click-through rate: 2-5% is solid
• →Conversion rate: Varies by goal (purchase, signup, etc.)
• →Unsubscribe rate: Should stay below 0.5%
• →Revenue per email: Track ROI of campaigns