Developing A Metric Based Web Analytics Approach For Increasing The Number Of Visitors At Sju Alumni Website

Abstract— Google Analytics is a web analytic tool which provides a transparent view of website traffic and marketing effectiveness. Google Analytics has powerful and advance features that provides insight into the websites and improve website ROI (Return on Investment). This research paper consists of case study on Google Analytics, which demonstrates features Google Analytics provides and reports it generates. On the basis of the evaluation of web usage, web site owners or E-business marketers can enhance the efficiency of marketing, and web traffics.

In the world of technology that we live in today has forced companies in almost every industry to use whatever tools that are available to help them be competitive in their business industry. There are a few ways to do this, one of those ways is the use of Web analytics, which is the collection of raw data from users browsing habits and then taking the raw data and assemble the data into clear comprehensive results. This type of analysis is very useful for companies, as it helps them learn what users are doing and their habits and the best way to target these users.

In spite of very huge data, reports, files, large investments made in web analytics, firms find it difficult to make business decisions. Many business leaders underlined the need to invest in people, but none have spelled it how much could be invested on the tools and people. Kaushik (Blog at kaushik.net) found and developed a rule for investment on tools and analyst to solve the problems in arriving at business decisions to become successful in business. He named it as 10/90 rule for web analytics success.

Website are a work in progress and we use analytics data as a tool to constantly help improve the content and calls to action.

Many studies show that while many of the Fortune 500 web-based companies had invested heavily, they had a hard time making reasonable business decisions. Many people argue or rather complain that these businesses had gigabytes as well as terabytes of data of Powerpoint and Excel files. Nevertheless, no meaningful implementable actions were taken. A 10/90 Rule is a rule that is applied to fix this kind of problem. The goal of this rule at this time is to achieve the highest value in executing web analytics in this situation. In this case, the cost of professional vendor services, as well as analytics tool, would account for $10. On the other hand, the need investment in the area of analysts and intellectual resources would account to $90. The main aim here is to achieve grand success for their people.

5. Kaushik, A. (2010). Web analytics 2.0: The art of online accountability & science of customer centricity. Indianapolis, IN: Wiley.

Effective data analysis is to search for the cause: try to uncover why something happened, why traffic to the website is low. Having a clear idea of customers actual likings and preferences can do wonders to boost up conversion rate. To find out what is the scenario behind, it is the best technique to find these solutions is to be dependent on the same approach that scientists have used for centuries i.e. experimentation. Testing can help users or customer to take part in the test and extract various results based on the objective.

All the analysis and resource for the website focused on these three elements. Everything that users do on the website needs to deliver against these outcomes regardless of what kind of website users have. As Avinash Kaushik stated in his book, instead of paying attention to how many visits a website had, users should ask themselves about the Conversion Rate and Revenue Trends metrics if they do e-commerce. Similarly, the one should look at Depth of Visit metric if they are a content site. In fact, it plays a great role to know that which metric should be used to analyze.

Web analytics is how companies and firms are using technologies to track the behavior of visitors to websites designed to show information, sell products and services, and present a superior brand that meets their targeted customers’ needs. Companies have been unhappy with their marketing functions for almost as long as they have been in existence, because their ability to track the success of their marketing efforts has always been insufficient, or even better, non-existent. The emergence of the World Wide Web and the Internet and everything that is now done online digitally has changed all that, because digital tracking was now possible.

[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 the study of the impact of a website on its users. Ecommerce companies and other website publishers often use Web analytics software is to measure how many people visited their site, how many of those visitors were unique visitors, how they came to the site (i.e., if they followed a link to get to the site or came there directly), what keywords they searched with on the site 's search engine, how long they stayed on a given page or on the entire site and what links they clicked on and when they left the site. Web analytics software is used to check whether the site pages are working properly or not.

In this case study, we are defining a scenario as a client where Trade Me which is New Zealand’s giant and how online auction & transaction is improvised by using Web Analytics. Clients site usability and experience is enhance by applying the science and Web analytics methodology. It is a science in light of the fact that it utilizes statistics, data mining systems, and a methodological process. Online marketing deals with huge web investigation for the validation and verification purpose that reduces cybercrime, hence Web Analytics Maturity Model makes it more precise, straightforward and accomplished to define variables that can be implemented in online transactions. While we focus on the certifiable state of Trade Me business for the majority of the part, the future will totally regard the benefits of the business investigation & system streamlining that are outside the area of web advancing.

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 real store, sellers can interact with customers and watch their behavior and habits. Sellers can identify what buyers want and what they do not want. However, in an online-based business, sellers cannot ensure what their customers want or do not want, what are their habits and behavior. Thus, to simulate real world stores, online sellers should find a tool that tracks their customers’ habits and behavior in the marketplace. This tool helps sellers to define their weaknesses and strengths. Therefore, web analytics emerges to cover these aspects and enriches sellers’ appetite. Web analytics helps sellers to collect and analyze data that related to customers’ behavior in websites. One of the top famous analytics tools is google analytics that is widely utilized in many, if not all, of commercial websites. The collected data aids sellers to offer better services and products to meet customers’ demands. Also, the collected data helps sellers to focus on increasing sales volume while maintaining low operating costs. Thence, sellers should realize how google analytics works to achieve their targeted aims.