Web analytics

in Web analytics gives sound foundations to the implementations of client business related web sites and how it is useful to the all kinds of companies to improve their business decisions in optimized cost thru applying the 10/90 rule” with an example in the coming essay. Initially all the companies follow this 10/90 rule because 10/90 Rule is utilized to achieve an unselfish accomplishment in the web Analytics. Different studies have pointed out that while every one of the organizations have extraordinary interests in Web Analytics, regardless they need to battle to settle on all the significant choices in their business. To make the glorious progress in web investigation 10/90 principle…

Early web analytics appeared in the mid 1990s after the first Mosaic browser was launched. The early analysis focused on showing the nature of the early Web. Because Websites only consisted of a single page, the clicks that came in would be easily accessible to evaluate. Traffic would mean you were doing well as it still means the same thing in today’s world. Webs today would even display a hit counters to determine the amount of visitors to a page. In today’s world, having just hit counters is…

According to the book ‘Web Analytics 2.0: The Art of Online Accountability and Science of Customer Centricity’ by Avinash Kaushik “Web Analytics is the analysis of qualitative and quantitative data from your website and the competitors’, to drive a continual improvement of the online experience that your customers, and potential customers have, which translates into your desired outcomes (online and offline).” So, Web analytics is the estimation, gathering, examination and reporting of web…

As I understand web analytics, it means to collect data related to traffic to a particular site and the subsequent flow of traffic on that site so as to analyze consumer pattern in order to optimize the site to maximize productivity of that site. [1] Data can also be collected of the traffic to the site related to the prior sites visited and the subsequent sites visited so as to better understand the consumer pattern and with the prospects of collaboration with the other business sites to serve…

Web analytics is the multidisciplinary practice that aims to measure, collect and analyze web data to understand and optimize web usage.[1] Web analytics is a process, which helps to collect data related to each visit on the website to make metric driven decisions to improve the effectiveness of the website and help to take business justified decisions. It helps to retain existing visitors, to attract new visitors and to increase traffic. Web allow access to enormous amount of consumer…

Web Analytics is the use of web analytical tools and metrics to make data-driven and informed decisions. Looking deeper and further into the concept we find that in his book, Web Analytics 2.0, Avinash Kaushik defines Web Analytics as the “analysis of qualitative and quantitative data from your website and the competition, to drive a continual improvement of the online experience that your customers, and potential customers, have, which translates into your desired outcomes (online and…

visitors. Thus, the web analysts start to collect and analyze web data in order to understand web traffic and usage to improve websites to meet customer’s needs and owner’s goal, which make more money. As a result, Web analytics becomes essential science to understand how perform more effective websites content. Web analytics is the objective tracking, collection, measurement,…

Web analytics can be simply termed as the study of impact of a website on its users. Web Analytics can be used to answer some of important questions such as: 1. Number of people visiting the website? 2. Number of unique visitors recorded? 3. How they got to know about their website? 4. Time spent on the website and on which part? 5. Users Search Criteria? All the above information can be used by the e commerce companies to know about their user’s interest and can make some attractive…

verything is hard in the beginning, I think this maxim reflects the complexity of web analytics, it is "the measurement, collection, analysis and reporting of web data for purpose of understanding and optimizing web usage"(n.d.), whereas goals, events, key performance indicators (KPI) are chief components of the aforementioned process, all these elements have their particular jobs to do, but they also interrelate with each other. Let 's define them individually in the following first. To start…

Web Analytics is the future of data analysis where one can track customer behavior and other insights by a matter of seconds. But before explaining the term web analytics I feel it is important to know the history behind web analytics. Previously Web Analytics was used nothing but a paradox of data that is there were so much data but very few insights. Most business that focus on web analytics (and sadly there are still not enough of them) think analytics simply as the art of collecting and…