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How To A/B Test Landing Pages Using Short Links

6 min read
How to A/B test
How to A/B test

You've built two versions of your landing page. One has a bold headline; the other leads with a product image. Both feel right — but which one actually converts? The only honest answer comes from testing with real traffic. That's where A/B testing comes in, and short links make it easier than most people realize.

This guide walks you through what A/B testing is, how short links fit into the process, and how to run a clean test without needing a full analytics stack.

What A/B testing actually means

A/B testing, sometimes called split testing, is the practice of sending traffic to two or more versions of a page to see which one performs better. You pick a metric, like signups, purchases, or button clicks, and let the data tell you which variant wins.

The concept is simple. The execution is where most people stumble, usually because they're testing too many things at once, running tests for too short a time, or using tools that obscure what's actually happening. Short links solve a surprising amount of that friction.

When you shorten a URL, you get more than just a tidier link. You get a layer of control between the user and the destination. That control is what makes short links genuinely useful for A/B testing.

With S.EE's A/B testing feature, you create one short link and configure it to split traffic between two or more destination URLs. Visitors who click the link get routed to Variant A or Variant B, and S.EE records the clicks for each. You don't need to touch your ad platform, your email tool, or your CMS to run the test. The short link handles the routing.

This approach also means you're sharing a single URL everywhere. One link in your ad, your email, your bio. The split happens behind the scenes.

Create your two landing page variants

Before touching any link, make sure your two pages are actually different in a meaningful way. A good test isolates one variable: the headline, the hero image, the CTA button copy, or the page layout — not all of them at once. Testing multiple changes at once makes it impossible to know what moved the needle.

Host both variants at separate URLs. They can be subpages on your existing domain, paths on your landing page builder, or completely separate URLs — it doesn't matter as long as each variant has a distinct address.

In S.EE, create a new short link and enable the A/B testing option. You'll add both destination URLs and set the traffic split, typically 50/50 for a clean test, though you can weight the split if you want to protect a high-converting control variant while still gathering data.

Your short link is ready to share. One URL, two destinations, automatic rotation.

Use the same short link across every channel you're driving traffic from. That consistency matters. If you send email traffic to Variant A and ad traffic to Variant B, your data is contaminated before the test even starts — those audiences behave differently.

One link, distributed everywhere, keeps the test clean.

Read the data

S.EE's link analytics show you click counts broken down by variant, along with supporting data like device type, country, and referrer. You can see in real time whether one variant is pulling ahead.

A word of caution here: don't stop the test early just because one variant looks better. Statistical significance takes time and traffic. For most tests, you want at least a few hundred clicks per variant before drawing conclusions. Cutting a test short based on early numbers is one of the most common testing mistakes.

How to know when you have a winner

There's no single rule, but a reasonable threshold is 95% statistical significance, meaning there's only a 5% chance the result is due to random variation. You can calculate this manually using a chi-square test or run your numbers through a free significance calculator.

Beyond the math, ask yourself whether the winning variant is actually actionable. A 2% lift in clicks on a low-traffic page might be noise. A 20% lift with 500 clicks per variant is a real signal.

Going beyond 50/50 splits

Not every test needs equal traffic distribution. If you have a current landing page that's already converting reasonably well, you might not want to risk sending half your traffic to an untested variant. In that case, you can set a 70/30 or 80/20 split, protecting most of your traffic while still gathering data on the challenger.

S.EE also supports smart routing, which lets you go further than simple traffic splitting. You can route users by country, device type, or browser language. This is useful when you suspect your page performs differently depending on the audience, for example, if mobile users convert better on a simpler layout, you can route them there directly while desktop users see the full page.

Common mistakes to avoid

Testing more than one variable at a time is the most frequent error, and it's a silent one. Your data will look fine, but you won't know which change caused the result. Keep variants different in exactly one way.

Running the test for too long is also a problem. If a test drags on for weeks across very different time periods, seasonal behavior and traffic patterns can skew the results. Set a time limit at the start and stick to it.

Finally, make sure you're measuring the right thing. Clicks on a short link tell you which variant attracted more interest, but if you care about conversions, you need to track what happens after the click. Connect your landing page to a form tool, a checkout system, or a pixel so you're measuring the outcome that matters.

Short link click data gives you the top of the funnel. On-page analytics tools give you the rest. Used together, they give you a complete picture: how many people clicked each variant, what they did on the page, and where they dropped off.

You can pass UTM parameters through your S.EE short links to tag traffic in Google Analytics or another analytics platform. When someone clicks your short link, the destination URL carries the UTM tags, and your on-page tool captures them. This connects the click data in S.EE to conversion data downstream.

Wrapping up

A/B testing landing pages doesn't require an enterprise tool or a dedicated experimentation team. A short link with built-in traffic splitting, combined with basic on-page analytics, gives you everything you need to run a clean test and make a confident decision.

The key is keeping tests simple, running them long enough, and measuring outcomes rather than just clicks.

Thanks for reading! If you want a faster, easier way to manage and test your links, S.EE handles URL shortening, A/B testing, analytics, smart routing, and more — all in one place. Ready to get started? Sign up today or view pricing.

FAQ

What's the difference between A/B testing and split testing?

They're the same thing. A/B testing and split testing both refer to sending traffic to two or more page variants and comparing their performance. "Multivariate testing" is a related but distinct concept where multiple variables are tested simultaneously, which requires much more traffic to reach significance.

How much traffic do I need to run a valid A/B test?

A commonly cited minimum is 100 conversions per variant, though more is better. For click-based tests, aim for at least 200 to 500 clicks per variant before drawing conclusions. Running a test with too little data increases the risk of a false positive.

Can I A/B test more than two variants at once?

Yes. Testing three or more variants is sometimes called multivariate or A/B/n testing. The tradeoff is that you need more traffic to reach significance for each variant. For most landing page tests, starting with two variants keeps things clean and actionable.

Do I need separate landing pages on separate domains?

No. Your variants can live on the same domain at different URL paths, like /landing-v1 and /landing-v2. The short link handles the split regardless of where the pages are hosted.

Short links let you control traffic routing independently of your ad platform, CMS, or email tool. You share one URL, and the split happens at the link level. This keeps your distribution consistent across channels and makes it easy to adjust the split or swap variants without changing any published links.