How to Boost Conversions with A/B Split Testing in WordPress Using Google Analytics
Are you looking to optimize your WordPress site to generate more leads, sales, or email sign-ups? Want to understand how small tweaks to your content and design can have a big impact on user behavior?
A/B split testing is one of the most powerful techniques in a marketer‘s toolbox for improving conversion rates. By comparing two variations of a web page or element against each other, you can determine which one performs better and drives more of your desired actions.
A case study by HubSpot found that A/B testing a single call-to-action button improved conversions by 21%. Imagine the impact you could have by continuously A/B testing different elements across your entire WordPress site.
In this in-depth guide, we‘ll explain everything you need to know about A/B testing on WordPress, including:
- What exactly A/B testing is and why it‘s so important
- The elements you can split test on your WordPress site
- How to set up A/B tests using Google Analytics
- Tips for analyzing your test results and determining winners
- Best practices and common mistakes to avoid
By the end, you‘ll be ready to start optimizing your WordPress site like a pro with data-driven A/B tests. Let‘s dive in!
What Is A/B Split Testing?
A/B testing (also known as split testing) is an optimization technique that involves comparing two versions of a web page, app, or marketing asset against each other to determine which one performs better.
Traffic is split between the two versions and statistical analysis is used to determine which one has a higher conversion rate or drives more business metrics.
The goal is to identify the features or changes that have the greatest positive impact so you can provide the optimal experience to all your visitors and users going forward.
For example, you could test two different headlines on a landing page to see which one results in more email sign-ups. Or you could split test two different product images on an e-commerce page to determine which one generates more purchases.
A/B testing takes the guesswork out of optimization. Instead of relying on gut feelings or opinions about what might work best, you‘re able to make data-driven decisions based on real user behavior.
Why A/B Testing Matters for WordPress Sites
No matter what type of WordPress site you run, A/B testing can help you generate more of the conversions that matter most to your business or project.
Here are a few key reasons to embrace split testing:
Reduce bounce rates and improve engagement
By identifying the headlines, images, and copy that resonate best with your target audience, you can hook more visitors from the start and keep them engaged with your content. This reduces bounce rates and increases key engagement metrics like pages per session and time on site.Drive more conversions
Whether your goal is to get more leads, registrations, downloads, or sales, A/B testing different calls-to-action and conversion elements can have a major impact on your bottom line. Even small lifts in conversion rates can really add up over time.Deliver a better user experience
Split testing helps you optimize your site based on real user feedback and behavior. You‘re able to give visitors more of what they want and less of what they don‘t. The end result is a streamlined, frictionless user experience that people enjoy interacting with.Make data-driven design and copy decisions
It‘s easy to get caught up in subjective debates about design and copywriting. A/B testing helps you settle arguments and make unbiased decisions based on hard data. Assumptions get replaced by test results showing the clear winners.Get insights into your audience
Analyzing A/B test results doesn‘t just identify top performers, it also provides valuable insights into the preferences and behavior of your audience. You can learn a lot about what makes them tick and what types of messaging or visuals they respond best to. This can inform your broader marketing strategies.
What Can You A/B Test in WordPress?
The great thing about A/B testing is that you can apply it to virtually any element on your WordPress site. If it affects the user experience, it‘s fair game for an A/B test.
Here are some of the most impactful things to split test:
- Headlines and titles
- Body copy and product descriptions
- Images and videos
- Call-to-action buttons (e.g. text, color, size, placement)
- Forms (e.g. length, fields, layout)
- Navigation and menus
- Page layout and design
- Pricing and promotional offers
- Pop-ups and slide-ins
- Fonts and typography
- Mobile experience
You can test one small element at a time, like a single headline. Or you can test an entirely different page design. It depends on your goals and how much traffic you have to run a proper test.
In general, it‘s best to start with testing the elements that are most important to the conversion funnel, like your main call-to-action. Then you can move on to testing more granular elements.
How to Set Up A/B Testing in WordPress Using Google Analytics
There are a variety of tools and plugins you can use to run A/B tests on a WordPress site, but one of the most powerful options is Google Analytics.
The platform‘s built-in Experiments feature allows you to easily split test up to 10 full version variants of a page using the Google Optimize tool.
Here‘s how to set it up on your WordPress site:
Step 1: Set Up Google Analytics on WordPress
Before you can run Experiments, you‘ll need to make sure you have Google Analytics installed and configured on your WordPress site.
If you haven‘t set up Google Analytics yet, you can follow this step-by-step guide from Google.
There are also a number of WordPress plugins, like MonsterInsights, that make it easy to connect Google Analytics to WordPress without editing code.
Step 2: Link to Google Optimize
To use the Experiments feature, your Analytics account needs to be linked to Google Optimize.
In Google Analytics, navigate to the Admin screen. In the Property column, click Experiments > Get Started to link your account.
Step 3: Install the Optimize Snippet
Next, you need to add the Optimize snippet to your WordPress site. This is a small piece of JavaScript code that loads the Optimize plugin.
If you‘ve already added the global site tag (gtag.js) to your site, you simply need to modify your existing tag like this:
window.dataLayer = window.dataLayer || [];
function gtag(){dataLayer.push(arguments);}
gtag(‘js‘, new Date());
gtag(‘config‘, ‘GA_MEASUREMENT_ID‘, { ‘optimize_id‘: ‘OPT_CONTAINER_ID‘});
Replace GA_MEASUREMENT_ID with your Google Analytics property ID and OPT_CONTAINER_ID with your Optimize container ID.
There are also WordPress plugins like Google Optimize for WordPress that can help you add the snippet without diving into code.
Step 4: Create an Experiment
In Google Optimize, click Create Experiment to set up a new test.
Enter an experiment name, select the A/B test type, and choose whether to target by URL or page path.
Step 5: Add Variants
Under Variants, specify how many variants you want to test in addition to the original. You can test up to 10 variants.
To edit a variant, select it from the Variants list. You can use the WYSIWYG editor to modify text, images, and HTML.
Step 6: Configure Objectives
Scroll down to the Objectives section and click + Add Experiment Objective to choose the metrics you want to test for.
Google Optimize offers a variety of objectives to choose from, including bounces, pageviews, and session duration. You can also create custom objectives based on Google Analytics events or goals.
Step 7: Specify Audiences and Distribution
Under Audience, select which visitors you want to include or exclude from your experiment. You can create audiences based on demographics, behavior, technology, and more.
Then, specify what percentage of traffic you want to send to each variant in the experiment.
Step 8: Start Your Experiment!
When you‘re ready to start your experiment, click Start at the top of the page.
Your experiment will now begin to divide traffic between your original page and the variants you created. You can monitor the results in real-time in the Optimize interface.
Tips for Analyzing A/B Test Results in Google Optimize
Once your A/B test has been running for awhile, it‘s time to dive into the data and see how each variant performed.
Google Optimize provides a simple, visual way to compare variants and determine a winner. You‘ll see graphs charting the performance of each variant over time, as well as key metrics like number of sessions, conversions, and conversion rate.
To determine whether your results are statistically significant, look at the Probability to be Best and Chance to Beat Original scores for each variant.
The Probability to be Best score predicts the likelihood that a variant is the true winner based on the current results. The Chance to Beat Original score shows the probability that a variant will perform better than the original version.
In general, aim for results with a 95% or higher Probability to be Best before declaring a conclusive winner and ending your test. A winning variant should also have a 95%+ Chance to Beat Original.
The amount of traffic and conversions needed to reach 95% significance will depend on your particular test and site. Google recommends running tests for at least 2 weeks before evaluating winners.
Some other tips for analyzing A/B test results:
Focus on the metrics that tie closest to your business goals. It‘s not just about small performance lifts but the bottom line impact.
Segment your test results by device type, geographic location, acquisition channel, and other attributes to uncover deeper insights about what works best for different audiences.
Conduct follow-up tests to confirm your winners and keep optimizing. A/B testing should be an ongoing process of iterative improvements.
Don‘t forget to QA the winning versions to make sure there are no bugs or unintended issues before permanently implementing.
Advanced A/B Testing Techniques to Try
Here are a few ways to take your A/B testing to the next level:
Multivariate tests: Instead of just testing one element at a time, multivariate tests allow you to test multiple elements in different combinations to understand which has the greatest impact on performance.
Personalization: Use dynamic content and audience targeting to serve up individually-optimized experiences to different visitor segments and personas.
Server-side testing: Most A/B tests are run on the client-side (in the visitor‘s browser), but you can also conduct server-side tests that change the HTML code itself. This allows for testing wholesale back-end changes.
Cross-device testing: Make sure your A/B tests are accounting for different screen sizes and device types. What works on desktop may not work on mobile.
Test at different points in the funnel: Don‘t just limit your testing to front-end pages. Look for conversion drop-off points throughout your site and marketing funnel to A/B test.
A/B Testing Best Practices and Mistakes to Avoid
Here are some key things to keep in mind as you implement A/B testing on your WordPress site:
Best practices:
- Always test simultaneously, not sequentially, to account for timing factors.
- QA your variants across different devices and browsers before launching a test.
- Use clear, descriptive hypothesis statements to articulate what you‘re testing and why.
- Calculate the minimum sample size needed for statistical significance before running a test.
- Let tests run for full weeks at a time to account for weekday/weekend differences.
Mistakes to avoid:
- Calling a winner too soon before the data is truly significant.
- Running too many tests at once and confounding your data.
- Only running one-off tests vs. developing a culture of continuous experimentation.
- Not documenting and sharing test results with key stakeholders and decision-makers.
- Blindly following "best practices" without testing what actually works best for your unique audience.
Picking the Best A/B Testing Tools for WordPress
In addition to Google Optimize, there are a variety of other powerful A/B testing tools that integrate with WordPress, including:
- Optimizely
- VWO
- Crazy Egg
- Omniconvert
- AB Press Optimizer
- Split Hero
- Nelio A/B Testing
When evaluating tools, look for features like:
- Ease of implementation on WordPress
- Visual editors for creating variants
- Ability to test advanced changes like JavaScript and CSS
- Targeting and segmentation options
- Goal tracking and conversion measurement
- Experiment collaboration and documentation
- Reporting and analysis capabilities
Many of these tools offer free plans or trial periods, so don‘t be afraid to experiment with a few before settling on the right solution for your needs.
Whichever tool you choose, the important thing is to start A/B testing!
Commit to making data-driven optimization a core part of your WordPress growth strategy. Develop a process for regularly coming up with test ideas, running experiments, analyzing results, and iterating.
Over time, all those small conversion improvements will compound into major gains for your business.
Further Reading and Resources:
- The Complete Guide to A/B Testing [Conversion Sciences]
- 71 Things to A/B Test [Optimizely]
- A/B Testing Mastery: From Beginner to Pro in a Blog Post [CXL]
- How Netflix does A/B Testing [Netflix Technology Blog]
- 10 Surprising Case Studies of A/B Tests [OptiMonk]
