Step-by-Step Guide to Split Testing with Google Analytics
Split testing is one of the most prominent web testing technique that has gained immense popularity around the world. It is reliable, result oriented and is backed by real time data results which further helps in building a great euphoria around this web testing technique. It has shown promising results in the field of conversion rate optimization and are effective in increasing product sales of an eCommerce store.
There are tools like Google Analytics, MockingFish and others that are important A/B testing or split testing tool for providing promising testing results to numerous site owners around the world. It is a remarkable tool from Google that is making right noises everywhere due to its consistency and ease of doing A/B test experiments. Let us now check out the steps that are involved in the A/B testing process through Google Analytics tool.
Define your testing goals- It is rightly said that you can’t shoot arrows in the dark, similarly, you need to have well defined A/B testing goals before actually going for the testing experiments. You need to first decide whether you want to have more sign ups, newsletter subscriptions, product sales or any other goals for your website. Once, the goal is set up, it is now time to implement split testing experiments for achieving those goals.
Create A/B testing hypothesis for your experiments- Hypothesis is important for grabbing the required conversions for your site. You need to decide the hypothesis based on your site survey, customer feedback and normal visitor observation to make the maximum impact with your split testing experiments. However, you need to ensure that your testing hypothesis are real and not based on illogical observations and facts.
You need to create the A/B test experiment in Google Analytics tool- Once, you are familiar with the goals and hypothesis of your A/B testing experiments, it is now time to create split testing experiments in Google Analytics with the help of these simple steps.
a. Create Experiments with Google Analytics-
It is now easier to create A/B testing experiments in Google Analytics tool with the help of reporting sidebar. User need to select Behavior and then Experiments. Now, you need to select Create Experiment to get your first A/B testing experiment. These Split testing experiments make use of a Name and the Goal for achieving required success. The user also needs to make changes in various options like amount of traffic selection for experiments, email notifications, the appropriate confidence level and other such settings. If you are not having much idea about A/B testing, you can go for the defaults settings.
b. Remove original URL and hypothesis variation URLs-
After the creation of split testing experiments, it is time to add the required hypotheses into your testing experiment. The above process only requires copy and pasting the URLs for including the required hypothesis. In case, you are applying A/B testing on the existing pages, it is necessary to use the Original URL. In order to utilize the new content, you need to select the URL that is intended to be used for the winner.
c. You need to insert the required experiment through testing code-
After setting up the URLs for your hypotheses, it is necessary to implement the next step in the creation of split testing experiments by selecting the option “Manually insert the code”. You need to now install the experiment code snippet under the <head> tag of the Original Page. Once, the above shown template has been saved, the user needs to click on the Next Step and Google Analytics tool will verify the proper placement of your experiment coding.
With these steps, you are all set to create your individual split testing experiments for getting maximum conversion rates and sales. After running your experiments for the scheduled time, you can effortlessly decide the winner of your testing experiments. However, if you want all your split testing worries to be handled by an expert A/B testing tool with more advanced features and functionalities, you need to give our MockingFish tool a good try. The free demo of this tool and other vital information can be smoothly accessed from the website at www.mockingfish.com.