Top Reasons for Why Your A/B Testing Fails Sometime
Some people say A/B Testing is a waste of time; you cannot trust the results put forward by it. They would give the examples of their failed cases when they applied an A/B Testing and in return, all they got is void. I ask, is it really so? Is is correct to blame a web testing method for the incorrect suggestion it gave? I think, it is better to reconsider the situations which led to the failure of your A/B Testing rather than blaming a tool for your mistakes. Most of the testing done using this tool are mistaken just because of the simplicity of the concept it renders. But, let me be very frank, A/B Testing is not as simple as learning your A, B, C, D. People think of this tool as a solution, but it is in fact, is not a solution at all. It is a series of steps which leads you to the solution. Like every other test, it needs some preparation, situation analysis, result analysis and most important a perfect time to carry the test. Ignorance of these factors are the sole reasons why most of the A/B Tests fail, and as a result people start to think of it as a useless tool. Below are the some of the very crucial reasons why A/B Testing fails sometimeYou are unaware of your usersSome of the testers who implement an A/B Test, do it without researching on their users. Users are the final destination for any testing or marketing activity. Without
knowing your users, you cannot sell anything to anyone. Testing needs some hypothesis to be validated and without knowing your users, you cannot make correct hypothesis ever. Knowing your users help to prepare an effective plan to encourage them to your business activity. Thus, you will know their needs and issues and provide them with the proper solution, as it is all about providing a solution to your users. Your user interface is not impressiveConsidering the above situation, if you do not know your users, you cannot design an interface that suits them. You can have millions of users for your site, and you cannot take care of the expectations of each and every one of them. But, at least you can design an experience that suits the needs for most of them. You can take care of the visibility, usability, accessibility and findability of the elements that are perhaps the common expectations of any user on your site. You do not know what to testThere are a large number of elements on any website or web page. Chances are you get confused about which elements you can test to boost your conversions. Preparing a blind test case might not always help you, it is only a matter of luck, or else it might backfire in terms of degraded conversions on your site. There are a large number of web tracking tools available in the market that can help you find out about the performance level of each and every element on your site. You can deploy a Heat map tracking tool that will tell you about the elements that are performing well and the elements which require some modifications. You do not iterate your test casesA/B Testing can give you a perfect result when met with a perfect condition. None of the testings you do fails, it is the situations which fail. Some testers perform the test for once and think that they are done with the particular element, and shift to the next test case. But, the truth is, you can never get a perfect result by just testing once. A/B Testing requires a continuous approach where you perform multiple iterations of a test case to reach an error-free conclusion. With each iteration, you come across variations in the results and these variations are analyzed statistically to reach a confident solution of the test case. A/B Testing always gives you a perfect result; it is the situations that I have mentioned above which affect the results. Minding these mistakes in your testing
activity can surely help you get a successful testing experience on your site. You can utilize Mocking Fish Free A/B Testing tool or Google Analytics to perform an error-free A/B Testing on your site.