How to Do A/B Multivariate Testing for SEO in Right Way

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If lots of visitors are visiting your website, it means that you have got lots of opportunities to expand your business to the new customers as well as existing customers. Now, it’s your conversion funnel that describes the conversion rate of the visitors. Its reason is that on your business website, you will have to encourage visitors to take some actions. If your conversion funnel is more optimized, your business website will get more chances to convert your visitors into potential customers. The best way to optimize the conversion funnel of your website is to use A/B testing. It is the process of showing two different segments of a website to different visitors. As a result, you will get an idea which segment of the website is increasing the conversion rate of a website. With the help of better A/B testing, you can easily solve the pain points of the visitors, you can reduce the bounce rate of the website and you can also make the lower-risk modifications. Here, we will discuss the best ways to do A/B multivariate testing for the better SEO of a website.


Before doing the A/B testing, you should conduct thorough research of the current performance of your website. It means that you should try to get complete data about your website. You should try to know visitors to your website. You should try to know the traffic on your website. You should try to know the conversion goals of the different pages of your website. As a result, you can easily shortlist the pages which are providing you with the highest revenue. After conducting thorough research, if you do A/B multivariate testing, you will get its best results. For this reason, you can also use some tools. Heat Map is the best tool to provide enough idea about the behaviour of the different pages of your website. This is also the best tool to identify problems on your website. You should also conduct qualitative as well as quantitative research.

Observe Your Research:

After getting enough data by conducting thorough research, you should try to observe these results. After observing these results, you can easily create the hypothesis to increase your conversions. After getting the data about your visitors with the help of qualitative and quantitative research, you should analyze this data and you should also make sense of this data. It is possible only if you analyze this data as a keen observer. Based on this data, you should also formulate your micro and macro goals of the A/B testing. Its reason is that while doing A/B testing, you will get an idea either you are getting the required results or not. The keen observation of the data will also be helpful to you to create set up of the A/B testing.

You Should Create Variations:

After creating the hypothesis, you will have to create A/B testing program. For this reason, you will have to create variations based on your hypothesis. These variations will provide you with a complete plan about your A/B testing. You can test these variations one by one to know which variation is best for the A/B testing. If you want to see the results of the A/B simultaneously, you can run these variations at a time. For example, if there is a form on your website and you observe that lots of visitors are not filling these forms, you should try to use different variations of these forms. For example, if your form has ten columns, you should reduce these columns. After reducing these columns, you should use different variations of the form and try to know which is performing best.

Run Test:

Told by a dissertation writing service, there are four types of testing. These four types of testing are A/B testing, Multipage testing, Multivariate testing and Split URL testing. Here, we are discussing Multivariate testing. In this method of testing, we have to make changes for multiple sections of a website. After making these changes, we have to create all of its combinations and variations. After that, we have to test all of these combinations by performing a single test. With the help of this testing, you can easily get an idea which section of the website is providing better results. You can perform multivariate testing by following two techniques. First, you should consider all the pages of the sales funnel and try to make the necessary changes in them. Secondly, you should remove particular components from your website and try to know their impacts on the conversion rate of your website.

Analyze the Results:

After running the test, it is also necessary for you to analyze the results of this test. The analysis of the results will provide you with an idea about the success of your testing campaign. You can analyze the results of your testing in various ways like by measuring percentages of all the variations and by checking the direct and indirect impacts on the metrics of the websites.

Mistakes to Avoid while Doing A/B Multivariate Testing:

While doing A/B Multivariate testing, the developers make lots of mistakes. These mistakes can last some adverse impacts on the SEO of a website.get Indian seo specialist and increase your website rank. These mistakes are given below;

  • They do A/B Multivariate testing without creating an optimization roadmap. As a result, they don’t have a hypothesis to perform A/B multivariate testing. When they do A/B Multivariate testing without creating an optimization roadmap, they can’t get the required results.
  • They run too many elements at a time. As a result, it will be difficult for them to pinpoint the required problems and their test will be failed.
  • They don’t consider statistics while performing the test. If they are ignoring the significance of the tests, it means that they will also be failed.
  • They are performing a test by using unbalanced traffic. This thing can also lead the test to fail.
  • If you want to achieve the required benefits of the A/B testing, you will have to run it for the appropriate time.
  • They don’t follow an interactive process to do this test. As a result, it also fails.

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