SequenzyA/B Testing

Stop guessing what works

Test different versions of your emails with real subscribers. Measure opens and clicks. Send the winner to everyone else automatically.

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SOC 2 Compliant
99.9% Uptime
Sub-second Delivery

Why Sequenzy for A/B Testing?

Built for developers who want reliability without complexity.

Subject Line Testing

Small changes to subject lines can double your open rate. Test variations and let the data decide.

Content Testing

Test different layouts, copy, or offers. See which version drives more clicks and conversions.

Automatic Winner Selection

Set your test criteria and sample size. We pick the winner and send it to the rest of your list automatically.

Statistical Confidence

We calculate statistical significance so you know when results are real, not random noise.

How it works

Get started with Sequenzy in just a few steps.

1

Create your variations

Write two or more versions of your email. Test subject lines, content, CTAs, or anything else.

2

Set test parameters

Choose your sample size and winning metric. Usually 10-20% of your list for the test, opens or clicks to pick the winner.

3

Send the test

We split your test audience evenly across variations and send them simultaneously.

4

Winner gets sent

After your test period, we automatically send the winning version to the rest of your list.

Built for real-world use cases

See how SaaS teams use Sequenzy a/b testing.

Subject Line Optimization

Your subject line determines if people even open your email. Test different approaches to find what gets attention.

Example

Version B with personal touch shows 34% higher opens than generic subject line.

CTA Button Testing

The words on your button matter more than you think. Test different button copy to see what drives action.

Example

Changing button text from Learn More to Start Free Trial increased clicks by 28%.

Offer Testing

Not sure which discount resonates? Test 20% off vs free shipping vs bonus item to see what drives action.

Example

Free shipping outperformed 15% discount by 3x for an e-commerce campaign.

Send Time Testing

Beyond per-subscriber optimization, test different send times to understand your audience's preferences overall.

Example

Testing Tuesday morning vs Thursday afternoon revealed subscribers prefer mid-morning emails.

How Sequenzy A/B testing compares

Built for marketers who want answers, not complexity

Feature
Sequenzy
Others
Subject line testing
Full content testing
Varies
Automatic winner sending
Varies
Statistical significance
Partial
Multiple variations
Up to 4
Usually 2
Test in sequences
Rare
Simple, transparent pricing

Start free, scale as you grow

One price for everything. No per-email fees, no hidden costs.

MonthlyYearly
Free Plan
$0/month
Up to 100 subscribers in sequences
2k emails/month
100100k+
100 subscribers in sequences2k emails/month

Free includes:

  • Up to 100 subscribers in sequences
  • 2,000 emails/month
  • Email campaigns
  • Email sequences
  • Advanced analytics
  • Advanced segments
  • Stripe integration(Segment by LTV & MRR)
  • API access
  • "Built by Sequenzy" branding
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Frequently Asked Questions

Everything you need to know about Sequenzy A/B Testing.

We recommend 10-20% of your list for the test sample. This gives you enough data to find a winner while saving most of your audience for the winning version. For smaller lists (under 1,000), you might need to test with a larger percentage.

It depends on your audience. Most opens happen within the first few hours, but some people check email later. We recommend at least 4 hours for subject line tests, longer for click-based tests. You can set a custom duration or let us determine statistical significance automatically.

You can test subject lines, preview text, email content, CTA buttons, images, sender name, and send time. Test one thing at a time for clear results. If you change multiple things, you won't know what caused the difference.

You choose the winning metric when setting up the test. Options include open rate, click rate, or click-to-open rate. We calculate statistical significance to make sure the winner actually performed better, not just by random chance.

Yes. You can test up to 4 variations in a single test. Just remember that more variations means you need a larger sample size to get meaningful results.

If the results are too close to call statistically, we'll let you know. You can choose to send version A by default, split the remaining audience evenly, or make the call yourself based on the data.

Yes. You can add A/B tests to emails within your sequences. This lets you optimize your drip campaigns over time based on real performance data.

Currently we support A/B testing where you test complete variations against each other. Full multivariate testing (testing multiple elements simultaneously) is on our roadmap.

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