A/B Testing CTA Buttons: 15 Experiments That Actually Increase Conversions

Have you ever changed a CTA button because someone said a different color or wording would increase conversions?

It's one of the most common optimization decisions marketers make—and one of the easiest to get wrong. What works for one landing page may perform worse on another because every audience, offer, and buying journey is different.

That's where A/B testing comes in. Instead of relying on best practices or personal opinions, you let real users determine which variation performs better. Sometimes a small adjustment, such as changing "Start Free Trial" to "Start My Free Trial" or moving a button higher on the page, can produce a measurable improvement in conversions.

In this guide, you'll learn how to A/B test CTA buttons effectively, discover 15 practical experiments worth running, avoid common testing mistakes, and understand how to interpret your results so every optimization is backed by data, not assumptions.

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Why CTA Buttons Matter More Than Most Marketers Think

Many marketers think of CTA buttons as the finishing touch to a landing page. In reality, they're one of the few elements every converting visitor must interact with. No matter how compelling your headline, persuasive your copy, or attractive your design is, none of it creates business value unless visitors take the next step.

The CTA button needs to be standout.

That's why even small improvements to a CTA can have an outsized impact on conversion rates. Since every campaign ultimately depends on users clicking a button, optimizing this single element often delivers a higher return than redesigning an entire page.

When evaluating your CTA strategy, keep these principles in mind:

• Your CTA is the decision point. It's where visitors move from consideration to action, making it one of the most important conversion elements on the page.

• Small changes can create meaningful results. Testing button copy, placement, supporting text, or visual hierarchy can improve conversions without requiring a complete page redesign.

• Context matters more than "best practices." A CTA doesn't exist in isolation. Its performance depends on the surrounding copy, offer, trust signals, and overall user journey.

• Clicks aren't the ultimate goal. A button with a higher click-through rate isn't necessarily better if it leads to fewer purchases or qualified leads. Always evaluate CTA tests using business outcomes, not just engagement metrics.

• There is no universally perfect CTA. What works for one audience, campaign, or landing page may underperform on another. The only reliable way to identify the best-performing variation is through structured A/B testing.

Approaching CTA buttons as ongoing experiments rather than permanent design decisions allows you to make incremental improvements over time. Those small wins can compound into significant gains in leads, sales, and overall conversion performance.

What Makes a Good A/B Test?

Running an A/B test is easy. Running one that produces reliable, actionable insights is much harder.

Many CTA experiments fail not because the new button performs poorly, but because the test itself is flawed. Changing multiple variables, stopping the experiment too early, or measuring the wrong metric can all lead to misleading conclusions.

Before testing button colors, copy, or placement, make sure your testing process follows these four principles.

Test One Variable at a Time

One of the biggest mistakes in A/B testing is changing too many things at once.

Imagine Version A has a blue button that says "Start Free Trial", while Version B uses an orange button, new copy, different placement, and an updated hero section. If Version B wins, which change actually caused the improvement?

You can't know.

Instead, isolate a single variable for each experiment. Test the CTA copy while keeping everything else the same. Then run a separate test for button color, placement, or supporting text. This approach makes every result easier to interpret and provides insights you can apply to future landing pages.

Measure the Right Success Metric

A higher click-through rate doesn't always mean a better CTA.

Suppose one button variation generates 20% more clicks, but visitors abandon the checkout more often. Another version receives fewer clicks but produces more purchases and higher revenue. The second variation is the real winner because it improves the business outcome, not just engagement.

Depending on your goal, evaluate CTA tests using metrics such as:

• Conversion rate

• Purchases

• Qualified leads

• Revenue per visitor

• Trial sign-ups

• Form completions

Button clicks should be treated as a supporting metric rather than the final measure of success.

Let Tests Reach Statistical Significance

It's tempting to declare a winner after seeing early results, especially when one variation appears to outperform the other.

However, small sample sizes can be misleading. Early fluctuations are common, and today's winner may lose once more visitors enter the experiment.

Allow your test to collect enough traffic before making decisions. While the exact sample size depends on your website traffic and expected conversion rate, the key principle remains the same: don't stop testing simply because you see an early lead.

Reliable conclusions come from sufficient data—not from the first few hundred visitors.

Document Every Experiment

Every A/B test generates valuable knowledge, even when it doesn't improve conversions.

Keeping a record of each experiment helps your team avoid repeating failed ideas and builds a clearer understanding of what resonates with your audience over time.

For every CTA test, document:

• The hypothesis

• The variable being tested

• The date range

• Traffic volume

• Primary success metric

• Final results

• Key takeaway

Over time, these records become a library of optimization insights that inform future campaigns. Instead of making decisions based on memory or opinions, you'll have a growing body of evidence that makes each new experiment smarter than the last.

15 CTA Button A/B Tests Worth Running

A CTA button looks simple from the outside, but it sits at one of the most important moments in the user journey. By the time visitors notice a CTA, they are making a small decision: keep moving forward or leave.

That decision is shaped by more than the button itself. Copy, placement, visual weight, surrounding context, and even the amount of friction implied by the wording can all affect performance. This is why CTA testing should not be treated as a random color experiment. It should be treated as a way to understand what makes visitors feel ready to act.

Below are some of the most useful CTA button A/B tests to run before you make larger landing page changes.

1. CTA Copy

CTA copy is usually the first place to test because it directly shapes expectations.

A button that says Buy Now creates a very different feeling from one that says Get Started. One suggests an immediate purchase. The other feels softer and more exploratory. Neither is automatically better. The right choice depends on the user's level of intent and the type of offer on the page.

For high-intent ecommerce traffic, direct copy may perform better because visitors already know what they want. For colder traffic, softer language can reduce pressure and make the next step feel less risky. This is especially important for landing pages connected to paid social, influencer campaigns, or educational content where visitors may still be evaluating the offer.

This is an example of a CTA button from GemPages.

Examples worth testing include:

• Buy Now vs Shop Now

• Get Started vs Start Free

• Try Free vs Start My Trial

• Book a Demo vs Request a Demo

• Download Now vs Get the Free Guide

The goal is not to find the most creative phrase. The goal is to find the phrase that best matches the visitor's intent at that exact point in the page.

2. First-Person vs Second-Person Copy

Changing one pronoun can change how personal a CTA feels.

For example, Start My Free Trial feels slightly different from Start Your Free Trial. The first-person version places the visitor inside the action. It creates a sense of ownership, as if the offer already belongs to them. The second-person version feels more like the brand is speaking to the visitor.

This test is useful for free trials, downloads, quizzes, accounts, and personalized offers. If the landing page already creates strong personal relevance, first-person copy can reinforce that feeling. A skincare quiz might test Find My Routine against Find Your Routine. A Shopify app might test Build My Page against Build Your Page.

However, first-person copy is not always better. Some audiences prefer direct, professional language. In B2B or enterprise contexts, Schedule Your Demo may feel more natural than Schedule My Demo.

Use this test when your CTA involves a personalized outcome, account creation, trial, download, or recommendation.

3. Benefit-Oriented vs Generic Copy

Generic CTA copy tells users what action to take. Benefit-oriented CTA copy reminds them why the action is worth taking.

A button like Submit is technically clear, but emotionally weak. It focuses on the task, not the reward. Compare that with Get My Free Template. The second version makes the value more immediate and reduces the feeling of effort.

This test works well when the landing page asks visitors to give something up, such as time, email, money, or personal information. The CTA should make the exchange feel worthwhile.

For example:

• Submit vs Get My Free Checklist

• Sign Up vs Start Saving Time

• Download vs Get the Landing Page Template

• Join Now vs Start Learning Today

The stronger version usually connects the click to a specific outcome. Instead of asking users to complete a task, it shows them what they receive.

Still, avoid making the CTA too long. If the button becomes a sentence, it can lose visual clarity. A good benefit-oriented CTA is specific, but still easy to scan.

4. Button Color

Image by Unsplash

Button color is one of the most discussed CTA tests, but also one of the most misunderstood.

There is no universal "best" CTA color. Red does not always convert better than green. Orange does not automatically create urgency. What matters most is contrast, visual hierarchy, and brand context.

A CTA button should stand out clearly from the rest of the page. If your landing page uses mostly neutral colors, a bold accent color may draw attention effectively. If the page already has many bright elements, a loud button may get lost instead of standing out.

The test should not be framed as: Which color converts best?

A better question is: Which button color creates the clearest visual path toward the primary action?

When testing color, keep the copy, size, placement, and surrounding content identical. Otherwise, you won't know whether the change in performance came from the color or another variable.

This test is most useful when analytics or heatmaps suggest that users are scrolling past CTAs, clicking secondary elements, or failing to notice the primary action.

Learn more: GemX Use Case Series: How Changing CTA Color Can Boost Your Conversion Rate

5. Button Size

Button size affects both visibility and perceived importance.

A CTA that is too small may be overlooked, especially on mobile. A CTA that is too large can feel aggressive or visually awkward. The ideal size makes the button easy to notice without making the page feel unbalanced.

This test is especially important for mobile landing pages. A desktop CTA may look perfectly clear, but on a phone screen it may become difficult to tap or visually compete with other content. Since mobile users often scan quickly, button size needs to support both readability and usability.

You can test:

• Standard button vs larger button

• Compact button vs full-width mobile button

• Shorter height vs taller tap-friendly button

• Small inline CTA vs visually prominent block CTA

The key is to test size in context. A larger button near the hero may improve clarity, while the same size inside a pricing section may feel too heavy. The button should match the importance of the decision at that point in the page.

6. Button Width

Width may seem like a small design detail, but it changes how a CTA feels.

A narrow button can feel lighter and less demanding. A full-width button, especially on mobile, often feels more prominent and easier to tap. This makes button width a useful test for mobile landing pages, product pages, and checkout-adjacent experiences.

For ecommerce, a full-width Add to Cart or Buy Now button often works well because it reduces visual ambiguity. The user immediately understands the main action available. For a B2B demo request page, however, a full-width CTA may feel too forceful, depending on the surrounding layout.

This is also a good test when you have multiple CTAs stacked vertically. If one button is primary and another is secondary, width can help create hierarchy. The primary CTA might be full-width, while the secondary option is smaller or text-based.

Button width should support the page's decision hierarchy. The more important the action, the easier it should be to identify.

7. CTA Placement Above vs Below Fold

Many teams assume the CTA must always appear above the fold. That is not always true.

For simple, low-risk offers, an above-the-fold CTA can work well because visitors need very little persuasion. A free template, low-cost product, or familiar offer may not require much explanation before action.

For high-consideration offers, placing the main CTA too early can create friction. Visitors may see the button before they understand the value, trust the brand, or feel ready to make a decision. In those cases, a CTA below the fold, after benefits or social proof, may perform better.

Instead of asking whether the CTA should be above or below the fold, ask: At what point does the visitor have enough confidence to act?

A strong test might compare:

• Hero CTA only

• CTA after benefits

• CTA after social proof

• CTA after pricing or offer details

• Multiple CTAs at key decision points

Designed created by GemPages

The best placement depends on how much context the visitor needs before clicking.

8. Sticky CTA vs Static CTA

A sticky CTA stays visible as visitors scroll. A static CTA appears only where it is placed on the page.

Sticky CTAs can work well on mobile because users may become convinced at any point while reading. Instead of forcing them to scroll back to the button, the page keeps the next step available. This can reduce friction, especially for long-form landing pages, product pages, or sales pages.

However, sticky CTAs can also backfire. If the sticky button covers content, feels intrusive, or appears before visitors understand the offer, it may create pressure instead of convenience.

CTA “Start for free” is sticky CTA

This test is most useful for pages where visitors spend time reading before converting. For example, a Shopify product landing page with reviews, FAQs, and comparison sections may benefit from a sticky Add to Cart button. A short lead generation page may not need one.

When testing sticky CTAs, pay attention to mobile behavior, scroll depth, and final conversions. A sticky button may increase clicks, but the real question is whether it increases completed purchases, signups, or qualified leads.

UGREEN sticky add to cart bar presents the product's price before and after a sale

9. Supporting Text Below CTA

A CTA button rarely works alone. The few words directly beneath it can have a surprising influence on whether visitors decide to click.

Think about the questions people ask themselves before taking action:

• Do I need a credit card?

• Can I cancel later?

• Is there any risk?

Supporting text answers these concerns before they become objections. Instead of forcing visitors to search the FAQ section, you address the hesitation at the exact moment they're about to decide.

Some common examples include:

• No credit card required

• Cancel anytime

• 30-day money-back guarantee

• Free shipping on all orders

• Takes less than 2 minutes

Displaying the supporting text below CTA buttons can help improve conversions

This test is particularly valuable for free trials, SaaS subscriptions, and high-ticket ecommerce purchases where perceived risk is relatively high.

Keep the supporting text short. It should reinforce the CTA, not compete with it.

10. CTA With Trust Badges

Not every visitor is worried about your product. Many are worried about the purchase process.

Adding trust badges near the CTA can reduce that uncertainty by reminding visitors that the transaction is safe and backed by recognizable standards. Depending on your business, these signals might include secure checkout icons, payment methods, money-back guarantees, SSL certificates, or satisfaction guarantees.

Including essential trust badges with your CTA to strengthen customer trust

However, trust badges aren't universally effective. If they're poorly designed, outdated, or irrelevant, they may add visual clutter without increasing confidence.

A useful experiment is comparing:

• CTA only

• CTA + secure checkout badge

• CTA + money-back guarantee

• CTA + payment method icons

• CTA + satisfaction guarantee

For ecommerce stores, this test often works best close to purchase buttons rather than near the top of the page, where trust concerns are typically lower.

11. CTA With Social Proof Nearby

Visitors are much more willing to click when they see that others have already made the same decision.

Instead of placing testimonials in a separate section, try positioning social proof immediately beside or underneath your CTA. This creates a powerful sequence: the visitor considers the action, sees evidence that others have succeeded, and feels more confident clicking.

For example, you could test adding:

• ★★★★★ 4.9/5 from 12,000+ customers

• Trusted by 5,000 Shopify brands

• Join over 100,000 marketers

• "Increased our conversions by 34%." — Customer testimonial

The key is relevance. A testimonial from someone similar to your target audience is often more persuasive than a generic review with no context.

This test tends to work particularly well for products or services that require a higher level of trust before purchase.

12. CTA Surrounded by White Space

Sometimes the best optimization isn't changing the button at all.

It's changing everything around it.

White space naturally guides attention. A CTA surrounded by breathing room becomes the visual focal point of the page, while one crowded by text, icons, or competing graphics can disappear into the layout.

This doesn't mean leaving huge empty areas everywhere. Instead, think about visual hierarchy. Ask yourself: If someone scans this page in three seconds, where do their eyes land first?

Heatmap tools often reveal that cluttered layouts scatter attention across multiple elements instead of directing users toward the CTA.

Testing additional spacing around buttons is one of the simplest design experiments you can run, yet it's frequently overlooked because marketers focus on changing the button instead of improving its environment.

13. CTA Shape

Rounded buttons have become the default choice for many modern websites, while square or slightly rounded buttons often create a cleaner, more structured appearance.

Does one shape always outperform the other?

Not necessarily.

Button shape mainly influences perception rather than usability. Rounded corners tend to feel softer, friendlier, and more approachable. Sharper corners can communicate professionalism, precision, or authority.

The more important consideration is consistency. Your CTA should feel like a natural part of your brand rather than an isolated design element.

A useful A/B test might compare:

• Fully rounded buttons

• Slightly rounded corners

• Square buttons

If you're making this comparison, keep every other design element identical so shape remains the only variable affecting the results.

14. CTA Animation

Animation can help attract attention but it can also become a distraction.

A subtle hover effect provides useful feedback that the button is interactive. A gentle pulse animation may draw attention to an important CTA during product launches or limited-time campaigns. Constant movement, however, can quickly become irritating and reduce trust.

Rather than asking whether animation is "good" or "bad," consider when it supports the user's experience.

Some variations worth testing include:

• Static button

• Hover color transition

• Hover shadow effect

• Gentle pulse animation

• Slight scale animation on hover

If users already notice your CTA, adding animation may not improve performance. In some cases, removing unnecessary motion creates a cleaner, more focused experience.

Animation should enhance clarity, not compete with your message.

15. Single CTA vs Repeated CTA

One of the biggest misconceptions in landing page design is that visitors only need to see a CTA once.

In reality, people become convinced at different stages of the page. Some are ready after reading the hero section. Others need testimonials, pricing, or FAQs before they're comfortable taking action.

Repeating the same CTA throughout the page allows visitors to convert the moment they're ready instead of forcing them to scroll back to the top.

A practical test might compare:

• One CTA at the top

• Hero CTA + final CTA

• CTA after every major section

• Sticky CTA combined with repeated inline CTAs

The important word here is same.

Don't repeat different CTAs with different goals. If one button says Start Free Trial, another says Book a Demo, and a third says Contact Sales, you're asking visitors to make an additional decision before they even click.

The highest-converting landing pages typically repeat one primary action consistently from top to bottom. Each CTA appears when the visitor has received enough information to move forward, making the next step feel both obvious and effortless.

CTA A/B Testing Mistakes That Lead to Bad Data

Not every failed A/B test is caused by a weak CTA. In many cases, the experiment itself is flawed, leading teams to draw the wrong conclusions.

Reliable optimization depends just as much on testing methodology as it does on creative ideas. Avoiding the mistakes below will help you generate insights you can actually trust.

Changing Multiple Variables at Once

Imagine you're testing a new CTA, but at the same time you also change the headline, hero image, page layout, and button color.

The new version wins. Great, but why?

You can't tell whether visitors responded to the CTA copy, the new hero image, or the redesigned layout. This is one of the biggest reasons A/B tests fail to produce actionable insights.

Instead, isolate one variable per experiment. If you're testing CTA copy, keep everything else exactly the same. Once you've identified the winning copy, move on to the next variable, such as placement or supporting text.

This approach may take longer, but it builds a much clearer understanding of what actually influences user behavior.

Ending Tests Too Early

It's tempting to stop a test as soon as one variation pulls ahead.

Unfortunately, early winners often don't stay winners.

Traffic fluctuates from day to day, and the first few hundred visitors rarely represent your overall audience. Ending a test after a short burst of positive results can lead you to implement changes that don't actually improve long-term performance.

Rather than focusing on short-term spikes, let the experiment collect enough data to account for different traffic patterns, weekdays versus weekends, and user segments.

Patience is one of the most underrated optimization skills.

Ignoring Traffic Sources

Not all visitors behave the same way.

Someone clicking a branded Google search has very different intent from someone discovering your business through a Facebook ad or influencer campaign. Combining all traffic into one report can hide valuable insights and sometimes produce misleading conclusions.

Whenever possible, analyze CTA performance by traffic source.

For example, you may discover that:

• Paid search visitors respond better to direct CTAs like Buy Now.

• Social traffic prefers softer language such as Learn More or Get Started.

• Email subscribers convert well regardless of CTA wording because they already trust the brand.

Looking at segmented data often reveals optimization opportunities that overall averages fail to show.

Optimizing Clicks Instead of Conversions

One of the biggest traps in CTA testing is celebrating higher click-through rates without asking what happened afterward.

A more compelling CTA may encourage additional clicks, but if those visitors abandon checkout, close the signup form, or fail to complete the purchase, the business hasn't actually improved.

The purpose of a CTA isn't to generate clicks.

It's to generate meaningful outcomes.

Whenever possible, evaluate experiments using metrics such as purchases, qualified leads, subscriptions, or revenue rather than relying on button clicks alone.

The best CTA is the one that improves business performance—not just engagement.

Declaring Winners Without Enough Data

A winning variation should earn its victory.

If Version B converts 12 visitors while Version A converts 10, that doesn't automatically mean Version B is better. Small differences can easily occur by chance, especially on low-traffic pages.

Before implementing a new CTA across your website, make sure a meaningful sample size and statistical confidence support the result.

Otherwise, today's "winner" could simply be random noise.

Good experimentation isn't about finding quick wins, it's about making decisions you won't have to reverse a week later.

How to Analyze CTA Test Results

Launching an A/B test is only half the process. The real value comes from interpreting the results correctly.

Many marketers immediately look at click-through rate and declare a winner. While clicks are useful, they only tell you whether visitors interacted with the button, not whether the experiment improved your business.

Effective analysis means following the entire customer journey after the click. Did more visitors complete the form? Did more shoppers finish checkout? Did revenue increase?

Looking beyond surface-level metrics helps you avoid optimizing for engagement while unintentionally hurting conversions.

Primary Metrics to Watch

Different campaigns have different goals, but the metrics below provide a strong starting point for evaluating CTA experiments.

Rather than focusing on a single metric, evaluate how these signals work together. A successful CTA should improve the overall conversion journey—not just one isolated number.

When a "Winning" CTA Actually Loses Money

Imagine two CTA variations produce the following results:

If you only looked at CTR, Version A would appear to be the winner.

But Version B generates more purchases and significantly more revenue from the same amount of traffic. Even though fewer people click the button, the visitors who do click are more qualified and more likely to complete the purchase.

This illustrates an important principle of conversion optimization: The goal isn't to maximize clicks. It's to maximize business results.

A CTA that attracts curious users but produces fewer customers isn't actually improving performance. The best experiments optimize for outcomes that matter, sales, leads, subscriptions, and long-term revenue, not vanity metrics.

Run CTA Experiments Faster With GemPages and GemX: CRO & A/B Testing

Running a successful CTA A/B test shouldn't require rebuilding your landing page from scratch or relying on developers for every experiment. The faster you can create, launch, and evaluate variations, the more opportunities you'll have to improve conversions.

For Shopify merchants, GemPages and GemX: CRO & A/B Testing provide a streamlined workflow for testing CTA ideas from page creation to performance analysis within the same ecosystem.

Build Multiple CTA Variations Without Coding

One of the biggest barriers to experimentation is implementation. If every CTA test requires editing code, duplicating templates, or waiting for development resources, optimization quickly slows down.

With GemPages, you can build and customize landing pages using a drag-and-drop editor, making it easy to test different CTA layouts without touching code. Whether you want to change button copy, placement, color, supporting microcopy, or the surrounding page structure, you can create multiple versions in minutes instead of hours.

Use a user-friendly interface of GemPages to enable different cta variations

This flexibility is especially valuable for marketers running seasonal campaigns, product launches, or paid advertising, where speed often determines how many experiments can be completed before a campaign ends.

Launch A/B Tests Directly With GemX: CRO & A/b Testing

Creating multiple page versions is only the first step. You also need a reliable way to split traffic and measure which variation performs better.

GemX: CRO & A/B Testing enables merchants to launch experiments directly on their landing pages without relying on third-party testing workflows. Instead of guessing which CTA will perform best, you can compare different variations using real customer behavior.

GemX: CRO & A/B Testing aligns well with GemPages to run built-in A/B tests on CTA buttons

For example, you might test:

• Buy Now vs Get Yours Today

• Hero CTA vs repeated CTAs throughout the page

• Sticky CTA vs static CTA

• CTA with trust badges vs CTA without trust badges

• Different button colors or supporting microcopy

Rather than making changes based on assumptions, every optimization becomes a measurable experiment backed by data.

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Analyze Results and Optimize Continuously

The best-performing landing pages aren't built in a single iteration, they evolve through continuous testing.

After each experiment, review not only which variation received more clicks, but also how it affected downstream metrics such as conversion rate, average order value, and revenue per visitor. A CTA that attracts more clicks isn't necessarily creating more customers.

Because GemPages and GemX work together within Shopify, it's easier to move from insight to action. Winning variations can be implemented quickly, new hypotheses can be tested immediately, and optimization becomes an ongoing process rather than an occasional redesign.

Over time, these incremental improvements compound into meaningful gains in conversion performance, allowing every new landing page to benefit from what you've already learned.

Conclusion

CTA buttons may occupy only a small area of a landing page, but they influence one of the most important moments in the customer journey: the decision to take action.

As this guide has shown, effective CTA optimization goes far beyond choosing a different button color or writing catchier copy. Placement, supporting text, trust signals, visual hierarchy, and even surrounding whitespace all shape how visitors perceive and respond to a call to action.

Not ready to commit but still want to kick the tires?

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FAQs

What should I test on a CTA button first?

Start with changes that directly influence user intent, such as CTA copy, placement, and supporting microcopy. Once you have a strong baseline, you can test visual elements like color, size, or shape to further improve performance.

How long should a CTA A/B test run?

A CTA A/B test should run until it collects enough data to produce reliable results. Avoid ending the experiment after only a few days or a small number of visitors. The test should capture normal user behavior across different traffic conditions before you declare a winner.

Does button color really affect conversions?

It can, but there is no universally best CTA button color. What matters more is whether the button stands out from the rest of the page and clearly signals the primary action visitors should take.

Should I test more than one CTA change at a time?

No. Testing multiple CTA changes at once makes it difficult to know which change caused the result. For clearer insights, test one variable per experiment and keep the rest of the page consistent.

How many visitors do I need for a CTA A/B test?

The required sample size depends on your current conversion rate, expected improvement, and confidence level. Higher traffic usually produces faster and more reliable results. It is better to wait for enough data than to declare a winner from a small sample.

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