Sitefinity A/B Testing Capabilities

Digital marketing, from strategy development to campaign execution, performance measurement, and conversion rate optimization, has one overarching goal: to improve your online presence. Website optimization is key to achieving success, and A/B testing, also known as split testing or bucket testing, is widely used in digital marketing to optimize website conversions, improve user experience, and increase revenue.

A/B testing is a user engagement strategy in which two versions of a webpage or app are created, with one version serving as the control and the other as the variation. The control version is the original version of the page or app while the variation includes one or more changes, such as a different headline, CTA (call-to-action) button color, or product image. Website or app visitors are randomly assigned to either the control or variation version, and their behavior is tracked and analyzed to determine which version performs better. This analysis can include metrics such as click-through rate, conversion rate, time on page, and bounce rate.

Sitefinity A/B testing features robust tools that allow marketing teams to evaluate assumptions and hypotheses by creating different versions of website content and layout. This helps them determine which version will best achieve predefined goals and conversion points.

Hands typing on laptop with graphics showing data, illustrating effectiveness of A/B testing in digital marketing efforts

Setting Up Your A/B Tests in Sitefinity

When A/B testing, it's important to be very specific with which elements you’re going to test:

  • Layout: this is the arrangement and appearance of elements on a website, like text, images, buttons, or forms. It can impact the user's experience and their interaction with other elements and content. A/B testing can be used to test different designs and layouts.
  • Page content: this includes text, images, and other media that convey the message and worthiness of your website. It can affect the interest and trust of your visitors. If the content is boring or looks untrustworthy, consider A/B testing to improve performance.
  • UX design: A/B testing helps designers compare different design variations to find the best user experience. By testing elements like font size, color, and button placement, designers can make better, more informed decisions about what works best for their users.

To align A/B testing parameters and goals with specific business objectives, it’s important to start by clearly identifying the key goals you want to achieve. Do you want to increase conversion rates? Reduce bounce rates? Next, identify your target audience and choose key performance indicators (KPIs) that align with your business objectives. These could include click-through rates, time spent on page, form completions, or revenue generated.

Next, set clear hypotheses about the changes you expect to have an impact on your chosen metrics. For example, if you want to increase conversion rates, hypothesize that changing a call-to-action button color will lead to higher conversions.

You’ll then need to calculate the appropriate sample size for your A/B test to ensure statistically significant results. You should create variations - design the different versions (A and B) of your webpage or application, ensuring they differ only in the elements you are testing. Make sure the variations are consistent with your hypotheses.

Now comes the fun part! Verify that the test setup is functioning correctly, and you’re ready to implement and launch the test. You should use A/B testing tools or platforms to implement your variations and split the traffic between them. Continuously monitor the performance of each variation during the test phase, and collect data on the selected metrics and analyze the results. Look for significant differences between the variations, and evaluate their impact on your business objectives.

Finally, draw conclusions and take action based on the analysis of the test results. Implement the winning variation or iterate further based on the insights gained.

Analyzing A/B Testing Results for Maximum Impact

For Sitefinity A/B testing, as mentioned above – you’ll conduct an A/B test by creating variations of your original home page and running the test for a relevant amount of time based on your goal and page traffic, and then measure and analyze the results. In Sitefinity Insight, you will review the test results and select a winner based on goal completion rate and statistical significance to determine the best performing variation for your needs.

Utilizing insights to make informed decisions on website changes for A/B testing involves leveraging data to identify areas for improvement, develop and test hypotheses, and make data-driven decisions about website changes to optimize performance and achieve your business goals.

Best Practices for A/B Testing in Sitefinity

A/B testing is, without a doubt, one of the fastest, easiest ways to evaluate how various website elements are optimized to maximize the conversion rate on your site or application. There are a few best practices to help you validate your hypothesis:

  • Define your objectives clearly
  • Test only one hypothesis at a time
  • Determine the sample size and timeframe for obtaining reliable data
  • Collect enough data; A/B testing needs a statistically significant sample size for reliable conclusions
  • Continuously monitor and analyze A/B test results

Common pitfalls to avoid during the testing process:

  • Not having a clear hypothesis
  • Testing too many variations
  • Ignoring statistical significance
  • Insufficient sample size
  • Bias in sample selection
  • Checking results prematurely
  • Overlooking long-term effects
  • Not iterating based on results

Case Studies: Successful A/B Testing with Sitefinity

Legal & General America (LGA) is an example of a business that effectively utilized A/B testing within Sitefinity.

LGA is a prominent company in the life insurance industry. They launched a new website with Progress Sitefinity and Following the launch, LGA shifted its marketing focus to two specific audiences: direct to consumer (D2C) and business to business (B2B). The D2C audience consists of individual consumers seeking to buy life insurance plans, while the B2B audience includes advisors and partnerships.

The teams analyzed the abundant customer and business data at LGA to create specific segments and personas for the D2C and B2B channels. They then devised an intense A/B testing process using this information to target areas of the website for improvement. This helped LGA redesign the buying experience and improve specific problem areas for customers. The marketing team also demonstrated their A/B testing abilities by setting up new customization options for new customers.

The real-world impacts of A/B testing on user engagement and conversion rates can be significant. By understanding how users interact with different elements of your webpage or app, you can make informed decisions to optimize the user experience, increase engagement, and drive more conversions.

Integrating A/B Testing into Your Overall Digital Strategy

A/B testing plays a crucial role within the broader context of digital marketing and user experience design. Here are the key roles it fulfills:

  • Data-driven decision making based on facts: A/B testing helps marketers and designers make data-backed decisions rather than relying on assumptions or gut feelings.  
  • Optimization and performance improvement: A/B testing allows marketers to fine-tune strategies, improve conversion rates, increase click-through rates, reduce bounce rates, and enhance overall performance.
  • Personalization: A/B testing facilitates personalization efforts by enabling marketers to test different content, messaging, or offers for specific segments of their audience.
  • Iterative and continuous improvement: A/B testing promotes a culture of continuous improvement, ensuring ongoing optimization and growth.
  • Reduced risk: By testing different variations before implementing them, A/B testing minimizes the risks associated with making significant changes, saving time and resources in the long run.
  • User-centric design: A/B testing puts the focus on the user experience to create user-centric designs that enhance usability, satisfaction, and overall experience.
  • Improves conversion funnel: A/B testing helps identify bottlenecks and areas for improvement within the conversion funnel. By optimizing each step of the user journey, marketers can increase conversions and improve the overall customer experience.

A/B testing is a valuable tool within digital marketing and user experience design. It’s a user engagement strategy that truly does produce results.

The synergy of A/B testing with other Sitefinity features like personalization, analytics, and content management make it a seamless process. Sitefinity offers built-in analytics, personalization, and A/B testing features to provide you with the tools you need to make informed decisions. Their analytics and personalization suite is included in multiple product tiers and is easy to set up, manage, and use.

Sitefinity A/B Testing vs. Third-Party Software

When comparing it to other third-party software, the greatest benefit of Sitefinity A/B testing is that it’s just one part of a larger, robust ecosystem of impactful tools and features contained in the overall Sitefinity platform.

Sitefinity's native A/B testing capabilities offer several benefits for marketers and designers. Here are some of the advantages:

  • Create and manage multiple A/B tests with ease within your CMS
  • Test different versions of your website content, such as headlines, images, and calls to action
  • Track the results of your tests in real time
  • Make informed decisions about which changes to make to your website

Sitefinity A/B Testing is a great tool for any website owner who wants to improve the user experience and increase conversions. It is easy to use and can be customized to meet the needs of any website.

It’s important to note that there are many different A/B testing tools available, each with its own strengths and weaknesses. Some of the most popular tools include:

  • Google Optimize: a free tool from Google that is easy to use and integrates with Google Analytics
  • Optimizely: a paid tool that offers more features and flexibility than Google Optimize
  • VWO: a paid tool that is known for its powerful analytics and reporting features
  • Convert: a paid tool that is designed for ecommerce websites

The best A/B testing tool for you will depend on your specific needs and budget.’s Expertise with Sitefinity A/B Testing

A/B testing is an essential tool for digital marketers because it allows them to make data-driven decisions about which changes to their website or app will have the greatest impact on user behavior and business goals. is an experienced, successful Sitefinity development agency. We specialize in Sitefinity development, design, and support. As a Premium Partner, has demonstrated success in designing and developing dynamic websites using Sitefinity CMS, having won a variety of Sitefinity website of the year awards over the years. With our expertise and partnership with Progress Sitefinity, is well-equipped to deliver exceptional Sitefinity web development experiences and provide hassle-free upgrades for any Sitefinity version.

Our Sitefinity agency team members create dynamic websites that leverage the full suite of tools available, and we innovate, integrate, and create user experiences that perfectly fit each customer’s specific needs.

About Author

Shawn Griffin
Shawn has been with since 1999 in a variety of roles. Currently, Shawn is part of our digital marketing and content team. In addition to editing and producing written company pieces, he produces copy for clients and he also helps to produce our radio and TV spots. He wants to make sure everybody knows that it’s truly a collaborative effort – between many, including the people he’s worked for during the past 20+ years!

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