Bucket Testing
Bucket testing, sometimes called A/B testing or split testing, is a method of website testing where two versions of the same page are tested for performance against one another.
There are at least two variations in each test, a Variation A and a Variation B. Metrics from each page variation are recorded and analyzed, allowing for an unbiased comparison of the two variations. This allows us to determine which performs best and create a concept specifically tailored to the needs of our clients. Companies that market and sell online products rely on testing to optimize their websites for conversions.
Bucket Tests & Conversion Optimization
Testing landing pages to determine what changes improve conversions is critical to conversion rate optimization. Bucket tests allow you to test any hypothesis that can improve a page's conversions.
Companies spend millions of dollars each year to drive traffic to their landing pages and websites. An effective way to gather data and to iterate towards your highest-performing version of the page is by conducting a series of bucket tests.
Testing landing pages to determine what will convert more effectively can have a big impact on revenue. A data-driven approach to testing landing pages can also eliminate the potential for subjective opinions.
With data-driven testing, you can eliminate all debate about the best design elements and features that will drive sales. By using tools like Taplytics, you'll know exactly what works and what doesn't.
Test variations should be prioritized to run on the most highly trafficked page of your site. If you have hundreds or thousands of visitors to each variation, you'll get statistically significant data faster.
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