A/B Testing: What You Should Be Testing in Your Campaigns
If you’re not A/B testing your campaigns, you’re leaving valuable insights and conversions on the table.
A/B testing (or split testing) is one of the most effective ways to optimize your email marketing. It’s not about guessing what works, it’s about knowing.
In this post, we’ll cover:
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What A/B testing is (and isn’t)
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Why it matters for email marketing
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The most important elements to test
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Best practices for getting reliable results
Let’s dive into how to make your emails smarter, not just prettier.
📬 What Is A/B Testing in Email Marketing?
A/B testing is when you send two (or more) versions of an email to a sample of your audience to see which one performs better.
Typically, you test one variable at a time — like a subject line or CTA — and then send the winning version to the rest of your list.
Example:
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Version A: Subject line = “Your free guide is inside”
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Version B: Subject line = “Unlock your exclusive email strategy guide”
Whichever version gets more opens wins.
💡 Why Should You A/B Test Your Emails?
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📈 Improve open and click-through rates
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💬 Learn what your audience responds to
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🎯 Reduce guesswork in future campaigns
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💰 Increase ROI over time
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⏱ Save time by investing in what works
Every test brings you closer to sending emails your audience actually wants.
🔍 What You Should Be A/B Testing
Not sure what to test? Here are the highest-impact elements:
1. Subject Lines
This is often the first — and only — thing subscribers see.
Test for:
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Length (short vs. long)
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Tone (casual vs. formal)
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Personalization (“Hey John” vs. generic)
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Curiosity vs. clarity
Goal: Increase open rates
2. Preheader Text
That little line of preview text can do a lot of heavy lifting.
Test for:
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Supporting vs. repeating the subject line
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Using emojis or not
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Adding urgency or teasing content
Goal: Increase open rates
3. Email Design/Layout
How your email looks can affect how people engage.
Test:
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Single-column vs. multi-column
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Button color or size
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Image placement
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Responsive/mobile layout
Goal: Improve readability and clicks
4. Call-to-Action (CTA)
Your CTA is the “what now?” of your email.
Test:
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Button vs. text link
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Different button copy (“Shop Now” vs. “Grab Yours”)
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CTA placement (top, middle, or bottom)
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Number of CTAs (1 vs. multiple)
Goal: Increase click-through rates
5. Send Times and Days
Timing can have a big impact on engagement.
Test:
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Morning vs. afternoon
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Weekday vs. weekend
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Same day across time zones
Goal: Find your list’s “sweet spot” for open rates
6. Personalization Elements
Go beyond first name. Test:
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Personalized product recommendations
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Dynamic content by location or behavior
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Custom offers based on past activity
Goal: Increase relevance and conversions
7. Content Length & Format
Does your audience prefer quick bites or long-form content?
Test:
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Short vs. detailed copy
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Plain text vs. HTML email
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Bulleted lists vs. paragraphs
Goal: Improve engagement and time spent reading
🧠 A/B Testing Best Practices
✅ Test One Variable at a Time
Don’t change everything at once — you won’t know what made the difference.
✅ Segment Your Audience
Use a portion of your list for testing (usually 10-30%). Then send the winner to the rest.
✅ Set Clear Goals
Are you testing for opens, clicks, conversions, or replies? Know what success looks like before you start.
✅ Let It Run Long Enough
Don’t rush. Give your test 24–72 hours (depending on your audience size) to gather enough data.
✅ Trust the Data
Even if the winning version isn’t your favorite, the numbers don’t lie.
🧪 Real-World A/B Test Ideas
| Test Element | Version A | Version B |
|---|---|---|
| Subject Line | “You’re Invited!” | “🎉 Don’t Miss This Event” |
| CTA Button | “Learn More” | “Get the Guide” |
| Email Layout | Image-heavy | Minimalist |
| Send Time | Tues 10 AM | Thurs 3 PM |
| Copy Length | 100 words | 300 words |
🏁 Final Thoughts: Test, Learn, Repeat
The best email marketers aren’t just creative — they’re curious. A/B testing helps you move from “I think this will work” to “I know this works.”
And remember: what worked yesterday may not work tomorrow. Keep testing. Keep learning. Keep optimizing.


