Many of us wondered what’s Web Analytics and what really the use of it? Web Analytics is the measurement, collections, analysis and reporting of web data purposes of understanding and optimizing web usage. I often used as part of customer relationship management analytics. It can be included to determining the likehood that is given to the customer that will repurchase a product after having purchased in the past.
The used of it is not just a process of measuring web traffic but also it can be used as a tool for business and market research, assessing and improving the effectiveness of a website. It provides some information about the number of visitors to a website and the number of a page views.
There are some basic steps in the web analytics process and most web analytics processes down to four essential steps which are collection of data, processing of data into information, developing KPI, and formulating online strategy.
First, collection of data is the stage were collection of the basic, elementary data. It usually count of the things and the objective is to gather the data. There are two ways in which web analytics packages collect data. Each method has its advantages and disadvantages. It will need to understand each of them to follow how particular analytics works. The first ways is the log file which process to refer the tracking files that are routinely stored on a web host’s server. It will automatically record visitor’s behavior. The second ways is the JavaScript Method. This does not require any log files at all. Instead, it will rely on java script code which is included on each web page.
Second, processing of data information is usually take counts and made them ratios, though there are still some counts. The objective is to confirm the information, take the data, specifically metrics.
Third, developing KPI is the stage that focuses on using the ratios (which is the counts) and in infusing them with business strategies, also referred as Key Performance Indications or KPI. It deals with the conversion aspects but not always, it will also depend on the organization.
The last stage, formulating online strategy, this concerned was in the online goals, objectives and standards for the organizations or businesses. These usually related to making money, saving money or increasing market share.
Each stage can impact the stage preceding or following it. The data is sometimes available for collecting impacts in online strategy. It also affects the data collected.
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