Testing For A Strong Testing Environment

The aim is to use the web traffic statistics to figure out how well or how poorly your site is working for your visitors. One way to determine this is to find out how long on average your visitors spend on your site. If the time spent is relatively brief, it usually indicates an underlying problem. Then the challenge is to figure out what that problem is.

Performing functional, Black Box, integration, system, regression, user acceptance (UAT), and performance tests on Java and .NET based web applications.

A website is used by different people for different uses. Each website can be evaluated for its usefulness by the general public based on certain criteria as discussed in this article.

Software testing is a process of executing a program in a simulated environment to find the defects and identify the correctness and completeness of the software. These days there has been a huge shift towards web applications, therefore it is important to evaluate the performance of web applications. To evaluate the performance of web applications properly, significant knowledge of the web application on multiple levels is essential. It requires knowledge of its users and their aggregated behavior – how many users use the application, when and which operations they perform, at what frequency they use it. Performance testing is performed with automated testing tools because manual testing is very time

Web Analytics is a relatively new phenomenon in the business world, and while it is not a mandatory requirement for organizations to compete in today’s marketplace it is becoming increasingly important as organizations strive to optimize their web presence. So what is web analytics and how can it help companies achieve a better web presence? Web Analytics is defined by the Web Analytics Association as, “The practice of measuring, collecting, analyzing and reporting on Internet data for the purposes of understanding how a web site is used by its audience and how to optimize its usage.” (ClarkU, p. 1) To simplify this definition we can say that web analytics is the process of determining how your website most effectively turns site visitors into customers.

Unlike in A/B test, in multivariate test we use more than one element at the same time. The first task is to identify the critical elements to be optimized. After that we will create two or more versions of each element. For example, using multivariate test to decide whether the picture on the landing page is bringing traffic or not, and where it looks more attractive on the page we can at least design three different versions: One with the picture on the right side, one with the picture on the left side, and another one with no picture at all. Multivariate test requires javaScript implementation from the testing tool; therefore each of the elements on the test would have a tag around, and the alternatives would be uploaded into the testing tool (google website optimizer).

In the opening chapters of Web Analytics 2.0, Kaushik dives into the new practices and purposes of web analytics and the basics of clickstream success. Likewise, in Google Analytics the authors introduce the subject of Google Analytics as a free web analytic tool; they describe what it is, and how to use it. Web Analytics is a procedure in which web data is collected, measured, analyzed, and reported. It is used by organizations to perform quantitative and qualitative analysis on the website of itself and its’ competitors (Ledford, Tyler & Teixeira, 2010). This is done to develop the efforts and outcomes of the online experience that both current and prospective customers will have (Kaushik, 2012). Web analytics can be performed for

Web analytics is characterized as a sway 's investigation of a site on its clients. E-trade organizations and other site distributers regularly utilize web investigation programming is to quantify such solid subtle elements as what number of individuals went by their website, what number of those guests were novel guests, how they went to the webpage, what decisive words they sought with on the webpage 's internet searcher, to what extent they remained focused given page or on the whole website and what joins they tapped on and when they exited the webpage.

Web Analytics tools like Google Analytics provide a myriad of metrics that users can benefit from in order to enhance their business capabilities. These tools enable users to measure a broad range of web data from visitors, bounce rates, page views, conversion rates to dashboards, custom reports, and goals. It can be sometimes confusing to make sense from all the web data obtained. Some users utilize basic features of the web analytics tools and some others utilize complex features to crunch the data based on the specific business requirements. Sometimes users spend superabundant time to analyze complex data that really has not value.

While digital tracking has made web analytics explode since the turn of the century, the metrics used to measure the success, failure and everything in between for web analytics have evolved tremendously. Initially, businesses were happy enough to get web “hits”, until they realized that a web server showing a document, image, or other file was a hit, which in turn meant that if one user went to one web page, often there would still be multiple web hits measured. This significantly devalued hits as a key performance indicator (KPI.) So then emerged the page view as the KPI. In effect, the page view is a condensed version of the hit; so while it only reduced the multiple counts during a single user’s page view to a manageable level, it allowed better insight into other aspects of a user’s time on a web page, including page views per visit and time spent on web pages. And

[2] Web analytics is the measurement, collection, analysis and reporting of web data for purposes of understanding and optimizing web usage. However, Web analytics is not just a process for measuring web traffic but can be used as a tool for business and market research, and to assess and improve the effectiveness of a website. - Wikipedia

Picking the right analytics tool for a website can be a difficult, time-consuming and an expensive business. Choosing a suitable web analytics tool usually depends on the degree of interaction that a business has with its customers based on their determined businesses strategy. For companies such as Amazon that internet is the main platform to communicate with its customers a strong and reliable web analytics tool is vital. It is not surprising that such a big firm would use an internal comprehensive web analytics tool of its own. On the other hand, for small businesses that are not interacting with their customers solely through the internet or not selling their products online a less sophisticated web analytics tool would be enough.

Web analytics is characterized as a sway 's examination of a site on its clients. E-trade organizations and other site distributers regularly utilize web investigation programming is to quantify such solid subtle elements as what number of individuals went by their website, what number of those guests were novel guests, how they went to the webpage, what decisive words they sought with on the webpage 's internet

In A/B test webpage or the app screen is taken and modified to create the second version of the same page. This change can be simple or be a complete redesign of the page. Half of the traffic is shown original version of the page and half are showed modified version. As visitors are served either control or variation, their engagement with each experience is measured and collected in analytics

When you set your tasks and objectives, you need to know how you 're going to track your success. If you want to increase traffic to your website, you 'll need to set up an analytics tracker that will allow you to see the success of each step in your task list. Analytics show you which posts are popular and where the traffic flows in from, which is a great way to assess your strategy.