A/B Testing That Compounds Your Email Performance

Stop guessing what works. Our structured testing programs systematically optimize every element of your emails -- from subject lines to CTAs -- turning data into revenue.

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49%

of organizations with structured email testing programs report above-average conversion rates

Litmus, 2023

A/B Testing

Systematic A/B testing of subject lines, content, send times, and CTAs that compounds email performance improvements month over month.

Organized yellow sticky notes on a white wall for holiday marketing strategies.

What's Included

Everything you get with our A/B Testing

Testing Strategy Blueprint

Custom testing roadmap prioritizing the highest-impact variables for your specific email program and audience

Subject Line and Content Tests

Structured experiments across headlines, body copy, imagery, and CTA placement with statistically valid sample sizes

Performance Analysis Reports

Detailed analysis of every test with actionable recommendations and a running log of validated insights

Our A/B Testing Process

Audit and Hypothesis Development

We analyze your current email performance data to identify the highest-leverage testing opportunities. Then we build a prioritized testing roadmap based on potential revenue impact.

Test Design and Setup

Each test is designed with proper control groups, sample sizes, and success metrics. We configure your ESP to run clean experiments that produce statistically valid results.

Execution and Monitoring

We launch tests on a consistent cadence, monitoring for anomalies and ensuring data integrity. Each test runs long enough to reach statistical significance before calling a winner.

Analysis and Implementation

Winning variants are implemented across your email program, and insights are documented in a running playbook that informs all future campaigns and tests.

Key Benefits

Data-Driven Decisions, Not Guesses

Every recommendation we make is backed by statistically significant test results from your actual audience. No more debating what works -- the data tells you exactly what resonates with your subscribers.

Compounding Performance Gains

Each test builds on previous findings. A 5% lift here and a 10% lift there compound into dramatic improvements over 6-12 months, turning a good email program into an exceptional one.

Higher Revenue Per Send

By optimizing open rates, click-through rates, and conversion rates simultaneously, you extract more revenue from every email you send without needing to grow your list.

Research & Evidence

Backed by industry research and proven results

Email Testing Impact Study

Brands that A/B test every email see 37% higher open rates than those that never test

Litmus (2023)

Subject Line Optimization Report

Personalized subject lines increase open rates by 26% on average

Campaign Monitor (2019)

Frequently Asked Questions

What elements of my emails can you A/B test?

We test every variable that impacts performance: subject lines, preview text, sender names, email content and layout, images, CTA button copy and placement, send times, send days, and personalization approaches. We prioritize tests based on your current performance data, starting with the variables that have the highest potential for revenue impact.

How long does each A/B test take to produce results?

Each test typically runs for 1-2 send cycles to reach statistical significance. The exact timeline depends on your list size and send frequency. Larger lists produce faster results because we reach meaningful sample sizes sooner. We never cut tests short -- calling a winner too early leads to false conclusions that hurt long-term performance.

Do I need a large email list for A/B testing to work?

A/B testing is valuable at most list sizes, but you need enough volume for statistically significant results. Generally, lists of 1,000 or more subscribers can support basic subject line tests. For more granular content and CTA tests, lists of 5,000 or more produce the most reliable data. We will assess your list and recommend the right testing approach for your audience size.

How do you measure the success of A/B tests?

We track metrics across the full funnel: open rates, click-through rates, conversion rates, and revenue per email. But the real success metric is compounding improvement. We measure the cumulative lift across all tests to show how your email program's overall performance is trending upward over time.

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