Post by account_disabled on Dec 31, 2023 6:49:08 GMT
ATIPS TOOLS Discover the OOH method for defining your AB tests APRIL MINUTES Matrix As AB testing tools gain more and more traction many of you often wonder what exactly can be tested on your site. You know that testing will help you find the best ways to convert your visitors into customers but when you open your AB testing tool you find yourself asking What should I test today So you browse around your site looking for a few potential things to improve or maybe you read a few articles about AB testing to glean ideas that might apply to your site. But no luck youre lacking inspiration.
To avoid running fruitless tests Hypothesis method. Ive developed this method to help you identify the best tests for your site in particular meaning the tests most likely to significantly boost your sites performance. To help you better understand this method lets take an example that will serve as a common thread throughout this article. Lets say you Phone Number List Conversion Optimisation Manager for a website selling customisable wallpaper. On this site users can design wallpaper to their hearts desires choosing dimensions texture thickness colour patterns etc. They can also request a cost estimate for custom wallpaper whose options are not included in the online designer tool.
Objectives Cleary define them from the start One of the major pitfalls Ive often noticed with AB testing is overoptimisation. Overoptimisation is when you aim to achieve great performance results on elements that have very little influence on the companys overall performance. In other words its like dusting the nooks and crannies of a house thats on fire Sure dusting is useful but it does not help put out the fire which is a decidedly more pressing problem. Overoptimisation happens when we run tests arbitrarily without really knowing why were testing one element and not another. The first step is therefore.
To avoid running fruitless tests Hypothesis method. Ive developed this method to help you identify the best tests for your site in particular meaning the tests most likely to significantly boost your sites performance. To help you better understand this method lets take an example that will serve as a common thread throughout this article. Lets say you Phone Number List Conversion Optimisation Manager for a website selling customisable wallpaper. On this site users can design wallpaper to their hearts desires choosing dimensions texture thickness colour patterns etc. They can also request a cost estimate for custom wallpaper whose options are not included in the online designer tool.
Objectives Cleary define them from the start One of the major pitfalls Ive often noticed with AB testing is overoptimisation. Overoptimisation is when you aim to achieve great performance results on elements that have very little influence on the companys overall performance. In other words its like dusting the nooks and crannies of a house thats on fire Sure dusting is useful but it does not help put out the fire which is a decidedly more pressing problem. Overoptimisation happens when we run tests arbitrarily without really knowing why were testing one element and not another. The first step is therefore.