Improving Website Performance through A/B Testing

Business Information System 1
Business Information System
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Business Information System 2
Introduction
As more and more websites are developed, the competition for internet users is becoming
more intense. It has, therefore, become extremely difficult for website developers to get people
to a site and direct them to do what is best for the business on the website. Despite the fact that
there is massive data on the internet about everything done by all internet users, the data can be
harnessed to satisfy the needs of an organization. A/B testing constitute a method of comparing
two or more different variations and optimizing a website’s performance using the data. The
primary focus of this article will be on how the performance of a website can be improved by
A/B testing.
As the thesis will explore the stated objective, it will attempt to solve the following
problems that have become common in internet marketing:
a) Monetization is not optimized to for its maximum potential.
b) Users visit wrong places on the internet while browsing.
The A/B testing has become one of the most prominent testing methods as it enables
website administrators to find direct data about the actions of its users. A/B can help to improve
a website’s performance in various aspects.
What aspects of a page can you test using A/B testing?
Various aspects will be tested in the A/B test, the major aspect that must get tested is the
value proposition (Zhu et al., 2013, pp. 320-323). Many people often think of value proportion
as one statement on a website, however, it is beyond that as it should be conveyed the copy,
image and various web page elements inclusive of landing pages.

Business Information System 3
How does it relate to webpage and search engine optimization?
A unique value proposition is a key element to the google search engine. Due to the fact
that google process trillions of searches every year equating to billions of searches a day, there is
no guarantee that an organization’s web page can be displayed on a topmost section of the page
(Kang, Liu, Rexford, and Walker, 2013, pp. 13-24). As the google does not consider what to
display on top of its page, the value proposition will be of great significance since it will ensure
that an organization’s page appears at the top most of the screen to attract more customers.
What is the role of hypotheses in this optimization process?
The hypothesis is an essential procedure in the A/B test. Therefore it cannot be left out in
the study. Hypothesis test help in evaluating the two statements that are mutually exclusive, it is
all about determining which statement is best supported by a sample data.
How are pages compared?
Pages will be compared by running the experiments on the server and redirect visitors
using HTTP 302 redirects as an example. However, if running the experiment is impossible
redirects will be performed in JavaScript.
How many customers do you need for the comparison?
Due to the fact that A/B testing analyses the estimated number of customers of the
particular website getting optimized to make a statistical prediction about the group as a whole,
the test should be more accurate. The larger the number the more the accurate the test is, it is
therefore imperative that the largest number possible to be used in order to enhance accuracy
which is the main goal of the test.