Email marketers who avoid AI

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Today's Email: Email marketers who avoid AI

AI won’t replace email marketers.

But email marketers who ignore AI will quietly fall behind.

We’re in a shift that feels familiar if you’ve been in email long enough.

Every leap forward in tooling changes how we work, not why the work matters.

Strategy still matters.

Judgment still matters.

Understanding audience behavior, inbox signals, and reputation patterns still matters.

But here’s what’s actually new:

AI isn’t just speeding up tasks.

It’s changing the surface area of what email marketers can do.

• It can scan thousands of campaigns and highlight patterns you’d have spent weeks uncovering.

• It can flag deliverability risk before your metrics dip.

• It can turn messy event data into clean insights your leadership actually understands.

• It can generate variants, segment logic, and test ideas you might not have considered.

The people who thrive from here aren’t the ones who hand everything over to automation.

They’re the ones who keep the craft intact but use AI to extend their reach—more clarity, more experimentation, more time spent on decisions that drive revenue instead of maintenance work.

What to actually do right now

1. Build an AI-assisted workflow, not an AI-run workflow
Use AI to draft, cluster ideas, summarize tests, or clean data.
Keep the strategy, voice, and segmentation choices human.

2. Start using AI for exploratory analysis
Feed in campaign results, complaints, blocklists, or segment-level performance.
Ask it for anomalies, patterns, or blind spots you haven’t noticed.

3. Use AI to pressure-test your assumptions
Before launching a workflow, ask AI to point out weaknesses, edge cases, risky segments, or deliverability traps.

4. Create a testing engine with AI as your accelerator
Let it generate variations of subject lines, hooks, offers, or layout sequences so you can test more without burning time.

5. Build internal “AI templates” for repeat tasks
Examples:
– weekly performance summaries
– deliverability health checks
– onboarding flows
– lifecycle playbooks
Make them once, reuse forever.

6. Use AI to translate data into decision-making
Take raw events (opens, clicks, blocks, soft bounces, complaints) and have AI outline what actually needs attention.

7. Audit your entire sending program with AI as your assistant
Ask it to check for gaps in:
– subdomain structure
– warmup logic
– IP segmentation
– suppression logic
– link domain consistency
– engagement scoring

8. Train AI on your brand’s email library
Feed your last 50–100 emails so it learns your style.
You’ll get cleaner drafts that sound like you—not generic AI fluff.

9. Document more, automate more
Use AI to create internal SOPs for anything you do twice.
Turn those SOPs into partial automations inside your ESP.

10. Treat AI as a second brain, not a replacement
Use it to see what you’d miss.
Use it to speed what already works.
Use it to raise the quality bar without raising the workload.

Best,
Alec

P.S. Have a topic you’d like us to cover in the next edition? Reply to this email and let us know! We're always eager to address.