Since the dawn of the internet era, websites have been obsessed with one thing over all others: traffic. Every website wants to maximize the number of visitors it gets, and they want that number to keep growing every month. The web traffic matters because it presents opportunities. Many sites rely on advertising to support their online business model, and the advertiser will pay a premium for better exposure. So if we have high traffic, we can charge those advertisers more for the privilege of annoying our visitors. for small businesses and those that want to use their website to drive sales, increased visits mean more chances to generate leads. regardless of our ultimate goals, it’s never a bad thing to have a lot of traffic. In this Assignment, we will discuss the Google analytics and How google analytics will help us to understand the website matrices or customer behavior in order to develop our website.
In life it is always the small details that define success over failure and it is exactly same when running our own website. Now, we know that statistics and website metrics are not the most glamorous subjects, but we should never underestimate their importance. Even tracking the most basic of numbers relating to our website will give us an advantage over someone who does not bother at all. We can use real world data to confirm what works on our website and what does not, identify room for improvements, and spot any abnormal results (such as those caused
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.
One cannot simply do reporting and discover how to spam executives with data. By having actionable insights and metrics, it will enable a strategic differentiation and a maintainable competitive advantage. The step of trinity mindset is behavior analysis or clickstream data analysis. The purpose of this step is to gain as much knowledge about clickstream as possible and to be able to infer the intent of a website’s visitors. The next step of trinity mindset is outcomes analysis. This is a critical component of trinity mindset, since we want to determine what was the outcome for the visitor and the website. In this step, a website is measuring revenue and the reasons why it was successful. The last step of trinity mindset is experience. A visitor’s experience is the most important component, due to the fact you are trying to get into the mind of the visitor. A website can do this in a couple of ways. The first way being through surveys. This is helpful because the visitors are reporting to you through the survey the problems they encountered on your website. Also, your website can do A/B testing to see what pages result in a higher conversion rate. Trinity mindset allows your website to clearly understand a customer’s experience in which you can affect the right customer behavior. As a result, you are positioning your website in a win-win situation for not only your benefit but also your customers. Each step in trinity mindset is supported by a tool, various methodologies, sustainable process and people with the right skill
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.
Unique visitors counts are important in determining between new versus returning site user traffic. This data is helpful for counting hits to the landing page, and beneficial in counting hits to other pages within the site as well. High traffic, and high returning traffic numbers are indicative of a healthy on-line business. The more frequently a user visits the site, the more opportunity that they have to make a purchase. George Blitzer of Kommerzen.com indicates that more than one-third of traffic should represent repeat visitors. He also notes that rewarding these visitors with a loyalty program is a great incentive to keep them coming back.
If you were to simply google the term “web analytics” and search for a definition, the ge-neric answer you would find is something along the lines of: the measurement, collection, and analysis of web data to study the impact of a website on its users. You might even find a more specific definition listing the types of metrics commonly measured such as how many people visited a certain site, how many of these people were unique visitors, and even how they got to this site. This view of the term “web analytics” is one that is all too prevalent but is outdated and incomplete. These definitions all focus on the “what” dimension of web analytics, the quantitative metrics and statistics acquired from collecting and analyzing clickstream data. When all you focus on in web analytics is the “what,” you find yourself with an abundance of data, but an extremely minimal amount of useful, actionable insight. And it is this insight, this unique perspective that web analytics has the ability to offer, that makes this tool such an exciting and innovative one. So, if web analytics is not so much about the “what,” what is it about? The answer, of course, is the “why.” It is infinitely more useful to know why people do the things they do on your site, as opposed to just knowing that they did. In addition to the “why,” it is also helpful to know answers to the questions “how much” and “what else.” So now, instead of just analyzing the clickstream to determine the
Web analytics are profitable for understanding customers as organizations can obtain points of interest with reference to
What can we do with all this data collected? Where do we go from here? What lessons can we learn from these trends? “Most Web analytics tools in the market, even today, simply spew data.
Since we published our website on October 27th, we have gathered lots of data to analyze our website.
The real use of data is to see which content on your website is working for your customers, and what isn’t. Furthermore, this sort of data can also alert you to webpages which aren’t working at all. Popular content should be nurtured and you should try to repeat it (without simply cloning it, of course). Unpopular content
Building a successful testing program is most important. But before that measuring your website’s performance is crucial. This can continually improve your conversion
Generally small business which is based on web uses analytical tools to analyze their business and their web site based on the metrics derived from the analytic tools. There will be lot of data which is obtained from the analytic tools which most of the time the web site developers don’t make right insights with the data obtained from the analytic tools. 80% of the web based business does not use their analytics data; they don’t even track important factors like conversion rates and purchases.
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.
Google Analytics is a product or an analytical tool which helps marketers design strategy as per the response of the customers. As use to happen some years earlier, a marketer would design a strategy, implement it at the market place and then conduct surveys or customer feedbacks after a significant period has passed to know the effect of his strategy or whether he needs to bring changes. By the time the marketer implements a new strategy the market dynamics and needs of the customers have already changed and hence there is always a lag between the customer demands and the strategy response to that demand. The purpose of this study is to understand how Google Analytics as an analytical tool helps marketers react immediately to customer demands and interests. For this, we can consider the example of Slickdeals which is an e-commerce website selling products online.