As technology continues to advance in today's society, offering more avenues for efficient information consumption, digital marketing falls right in line, growing congruently and analyzing data from newly surfacing phenomena. In the past decade, the online activity of the consumer has become one of the most crucial indicators for analysis and behavior prediction. Google, an established technology leader and open source distributor, offers affective analytical software at the enticing price of free! While initially appearing to be a daunting task, learning and using Google Analytics is pretty easy to pick up after a few training sessions.
So how exactly does web analytics inform digital marketing strategy and tactics?
In "The Forrester Wave: Web Analytics," author James McCormick outlines several strong traits web analytics brings to the table. Firstly, through cloud computing, web analytics are capable of processing larger amounts of data than traditional methods. In internet marketing research, almost every consumer click is recorded and stored in some form, so obviously the ensuing massive quantity of information is best suited to be analyzed by a system capable of cloud computing. In addition, web analytics are also actionable and speedy. Modern analytics software has improved to the level of identifying insights within the raw data, allowing the utility of the data to be more easily conveyed to the general business community. These results can be delivered much faster than with traditional methods, so executives will receive instant utility from the product. Web analytics companies also tend to consider the user perspective of an online experience with a firm, helping gather insight into the individual profiles of customers, enhancing the personalization of advertisement.
In a maturing analytics market, Google Analytics stands out as the most popular option for most consumers. Amongst the fervent competition, why Google Analytics?
According to an overview of the product on the Google Analytics website, GA's key differentiating factors are its insightfulness, impact, and actionability. Google Analytics uses traffic sources to inform the mode in which their audience is accessing content. Their in-page analytics service provides a clearer picture of their audience's behavior and preferences. These tools help provide vital insight for customers, allowing them to shape their tactics in accordance to newly found consumer patterns. In order to achieve greater impact in a webpage, Google Analytics examines a customer's page and identifies which components are most effective. Using multi-channel funnels and attribution, Google Analytics depicts a webpage as a network of traffic driving variables. With gained impact from Google Analytics, customers can rank components of their webpage, designating resources to prioritized factors. Finally, Google Analytics provides content that is immediately actionable to the customer. In addition to identifying and interpreting patterns in the data, the service also includes real time interaction between customer and software. For example, if a webpage is running at capacity, Google Analytics will alert the customer of a slow in traffic and the cause of the problem.
This testimonial from the Google Analytics website is, of course, a little biased toward its own product when explaining the service. It is important to consider Google Analytic's standing among competition in order to gain a clearer picture of the analytics market. Essentially, Google Analytics lies in the middle of the road when in comes to quality, producing basic and understandable content, whereas competing firms opt to provide a deeper and more complex depiction to statistical experts. In a continuously maturing market, Google Analytics stands out as the most popular option for most consumers. Although the product cannot reach the potential functionality posed by some of its competitors, its open source availability, ease of use, and brand association earn an easy primary choice with the mainstream consumer.
How does Google Analytics work?
In order to become certified in the use of Google Analytics, one must first obtain education on the software from a series of training modules housed on the Google Analytics website. Through this program, users learn the mechanics of the software, as well as methods of utilization. Highlights from the program include: functionality of the website and reporting findings.
The process of Google Analytics is designated by four consecutive functions: collection, processing, configuration, and reporting. Collection refers to the accumulation of massive amounts of consumer data. Users can embed a piece of Javascript in their coding for a page or activity that will enable the activity of a consumer to be recorded at the point of interaction. Each activity that the user wants to record have the specific designation in its code. After collection, Google Analytics converts raw data into useful output as part of the processing phase. While processing notes the presence of variables in the data, the configuration phase allows the user to place sorts and filters on the data in order to gain specific insight. Lastly, Google Analytics provides a platform for the user to format and present findings. There are several options and recommendations for a user to consider when selecting a "focus" of a presentation.
There are plenty of tools available for personalizing one's findings in a report. Typically, users are encouraged to emphasize the resulting dimensions and metrics of a data set. Dimensions include more descriptive information about consumers, like geographical location and traffic source. Metrics refer to the number of pageviews a website gets on a computer, or the number of "activities" it receives from a mobile device. Both dimensions and metrics are key components to a telling report, and Google provides ample customization for users to uniquely present their findings.
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