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A/B Testing in Email Campaigns: Optimizing for Better Results
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A/B Testing in Email Campaigns: Optimizing for Better Results

Imagine sending out two nearly identical emails — but one leads to 20% more clicks than the other. That's the power of A/B testing. It's not just a tactic; it's a game-changer for small businesses looking to get the most out of every email they send. In today's crowded inboxes, optimizing your emails isn't optional — it's essential.

In this guide, I'll break down everything you need to know about A/B testing in email campaigns, from what it is to how you can start today — even with a small list and budget.

What Is A/B Testing in Email Marketing?

A/B Testing in Email Marketing

A/B testing (also known as split testing) is the process of sending two versions of an email to a small percentage of your list to see which one performs better — then sending the winning version to the rest.

In other words:

  • Version A might have one subject line
  • Version B has another
  • You compare results like open rate, click-throughs, or conversions

This data-driven approach takes the guesswork out of email marketing.

Why Does A/B Testing Matter for SMBs?

Higher ROI

Test results help you improve performance without increasing spend.

Better Understanding

Learn what language, visuals, and offers resonate with your audience.

Competitive Edge

While larger brands test frequently, many SMBs don't — giving you an edge.

Data over Intuition

Remove guesswork and rely on measurable outcomes.

What Can You Test in an Email Campaign?

Email Elements

  • Subject lines (different tones, emojis, questions)
  • Preheader text (preview text)
  • Email content and structure
  • CTA buttons (color, placement, wording)

Delivery Options

  • Sender name (company vs. person)
  • Send time/day
  • Images vs. no images
  • Visual-heavy vs. minimalist design

Tip: Test only one variable at a time to understand what's actually making the difference.

How to Set Up an Effective A/B Test (Step-by-Step)

1

Define a Clear Goal

What are you optimizing for? Open rate, click-through rate, or conversions?

2

Choose One Variable

Pick only one element to test — like subject line or CTA button.

3

Create Two Versions

Craft version A and version B with only that one variable changed.

4

Segment Your Audience

Send each version to a small, randomly selected portion of your email list (e.g., 10% each).

5

Run the Test

Let the test run long enough to gather meaningful data — ideally 4–24 hours.

6

Analyze the Results

Identify the winning version based on your chosen metric.

7

Send to the Remaining List

Send the better-performing version to the rest of your list for optimal results.

Common A/B Testing Mistakes to Avoid

  • Testing Multiple Variables

    Testing too many variables at once makes it impossible to identify what's working.

  • Small Sample Size

    Using sample sizes that are too small can lead to unreliable results.

  • Rushing Results

    Declaring a winner too early without sufficient data.

  • Ignoring Statistical Significance

    Not considering whether results are statistically meaningful.

  • Not Applying Learnings

    Failing to use insights from tests in future campaigns.

Real-World Example: A/B Testing in Action

A Small Bakery's Success Story

Subject Line A:

"Freshly Baked: Try Our New Cinnamon Rolls"

Subject Line B:

"You Deserve a Warm Treat This Morning"

Results:

  • Subject line B got 38% more opens
  • 22% more clicks than version A

Lesson: Emotion and emojis can drive engagement — but it depends on your audience. That's why testing matters.

Top Tools for Email A/B Testing

Mailchimp

Popular

Built-in A/B testing features for beginners.

Klaviyo

Perfect for eCommerce SMBs.

MailerLite

Beginner-friendly interface.

ActiveCampaign

Automation + split testing.

HubSpot

All-in-one for growing teams.

Frequently Asked Questions

How big should my test audience be?

Aim for at least 10–20% of your list. Too small, and results won't be reliable.

How long should I run my test?

Run it long enough to reach statistical significance — usually at least 4 hours.

Can I test more than one thing at a time?

Technically yes, but it's not recommended unless you're doing multivariate testing.

What's a good A/B test goal for beginners?

Start with subject lines. They're easy to change and can quickly boost open rates.

Is A/B testing worth it for small lists?

Absolutely. Even with 500 subscribers, small improvements add up over time.

Optimize Smarter, Not Harder

The best email marketers aren't the ones who always get it right — they're the ones who test, learn, and improve. A/B testing gives you real insights into what your audience wants and helps you deliver better results with every send.

Whether you're just starting or looking to fine-tune your strategy, remember: small tests can lead to big wins.

So — what's your first A/B test going to be?

About the Author

Linda Chen

Linda Chen

Marketing Automation Expert • New York, NY, USA

8 Posts

Linda specializes in setting up automated email workflows that save time and increase efficiency for small business owners.

✉️l***@emailsbird.com

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Discover how automation can save you time, boost conversions, and streamline your email campaigns, without losing the human touch.

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