Here is an example of a hypothesis

If the add to cart button remains visible on the screen despite scrolling the page, this will affect the conversion rate by 20% upwards, since adding to cart is the operation more complex to do. The number 20% is the essential element of the hypothesis, because it is this number that determines the estimated result at the end of the test. It is somewhat similar to a business plan kpi and you should set it based on research or your previous experience with another similar test. The 20% figure should not be invented on a whim based on your personal expectations. To gain a practical understanding of the change and its possible consequences, you must carefully study comparable situations. 8.1.4. Test execution the hypothesis must give rise to a series of variants of the test objects. Once the variants are complete, you can place them in the same test environment to start running the test. The economic term for an unchanged environment is ceteris paribus, meaning that all variables within the testing framework remain consistent.



This helps ensure that the results are accurate and not affected by other external factors. For example, if you are testing a title change, the chosen image, layout, text color, font, size, and text should remain unchanged. 8.1.5. Evaluation and conclusion it's not difficult to determine the winning element of your tests, but it's worth considering all the additional lessons that come with the test result. Studying data can help you better understand the needs of your consumers. If, for example, repositioning or adding a call to action at the bottom of the page significantly increases your conversion Whatsapp Number List rate, it could be a sign that your above-the-fold design needs improvement. 8.2. Google optimize: start your a/b testing with the free tool from google google optimize is a free online a/b testing tool that allows you to compare two or more article variations. Setting up an experiment is easy enough for novice users, but sometimes an understanding of html and javascript is required. However, as free software with only basic technical requirements, google optimize isn't a bad place to start.







Let's take an example to understand the steps involved in formulating a hypothesis and setting up an experiment. This is a collection page called cleansers & scrubs, showing cleansing and exfoliating products. You want to increase the conversion rate on this page and have decided to run an a/b test. Here's what you're supposed to do from the time you have an idea until you complete the experiment: step 1: define your business objective when planning a test, your business goal is the goal you want to achieve when you finish it. . In our specific case, the commercial objective would be to increase the conversion of the abc page. Step 2: select items to test you determined that there should be a call to action at the top of the page, above the fold where consumers can easily navigate the collection. Page de collection nettoyants et exfoliants-optimization du taux de conversion step 3: make hypotheses a strong hypothesis not only helps you find the right solution, but it can also entice your audience to participate in testing.