A/B Testing
Optimizing your user experience
Get the most user experience and engagement through data-driven decisions. Our A/B testing service allows you to maximize the impact of your digital product by enabling you to identify the version of your product that resonates the most with your users.
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How we fuel your vision
Leverage a decade of A/B testing experience, top-shelf talents, and advanced technologies to arrive at the best versions of your digital product with ease.
1.Test designs and planning
When it comes to A/B testing, determining what to test and leave behind can be overwhelming. Our test design and planning help you simplify this step. We will work with your team to determine the components that matter the most to users, from CTA buttons to font style. Then, using our hypothesis-based approach, we will run experiments focusing on your primary goal from engagement to conversion.
2.Experiment execution and monitoring
Let's ensure your A/B testing runs smoothly and free from external influence. We understand the delicate nature of these tests and how easily they can be compromised when set up and monitored poorly. Our QA experts evaluate the test setup, ensuring it's correct and based on fairness. We will also monitor the tests and assess the performance metrics to guarantee data consistency and eliminate the chance of external manipulations.
3.Data analysis
When dealing with a lot of A/B testing data, it can be challenging to draw a meaningful conclusion. That's where we come in. Our QA experts utilize Google Optimize, VWO, and Optimizely to collect and analyze these data. We will use statistical significance testing to determine the reliability of the data and its outcome. Let's help you swiftly identify the correct versions to include in your final launch.
4.Multivariate testing
Some tests are more complex than choosing between versions one and two. Our multivariate testing alongside A/B testing enables you to discover how different combinations of your app variables can bring about significantly higher engagements. We ensure the test follows the best practices to guarantee that the outcomes are reliable and vital for your product's success.
Explore what we have done.
See how our A/B testing solutions have driven higher engagement and success through the doors of our clients!
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What is A/B testing in QA? 
How does A/B testing differ from usability testing?
A/B testing focuses on understanding what changes led to users’ actions towards a feature or a page. For example, what changes made more users click on a link? Conversely, a usability test focuses on users’ behavior and experience with your product.
How long should an A/B test run?
While it takes between two and six weeks to get reliable results, the duration solely depends on your traffic volume and statistical significance.
What is statistical significance in A/B testing?
Statistical significance guarantees that the outcome difference between the versions is not due to chance. Thus making the final result more credible and reliable.
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