Google Analytics
Google Analytics (GA), a user-friendly application, is a free service offered by Google that generates detailed statistics about the visits to a website. This tracking application, external to the website, records traffic by inserting a small piece of HTML code in every page of the website GA tells the web owner information about visitor and traffic volumes, top referrers, time on site and depth on site to conversion rates, pay stickiness, visitor latency, frequency, revenue and geographic distribution, to name a few (Plaza 2009).
How it has been used
Moreover, the web analytics such as GA can also help to enable agile, data-driven decision making across the organisations (Google Inc. 2012). For example, GA can help website operators to determine whether visitors from social media sites such as Facebook, Twitter, LinkedIn have positive impact on your websites’ reach and conversions; which visitor acquisition channels work best and to what extent these should be increased or decreased; whether site search is worth the investment and whether overseas visitors would be better served with more localised content (Clifton 2012).
Case Study of Nissan
Nissan, a Japanese automotive company with worldwide presence, own a network of websites across the world that helps consumers decide which Nissan vehicle they’d like to purchase. They wanted to access much greater detail such as user’s preferences according car type, model, and colour and therefore prompted visitors requesting brochure or test drive to complete a form about their product preferences. By analysing resulting reports, Nissan can understand which vehicles are in demand and can make decisions tailored for each local market.
For Nissan, the advantage of using Google Analytics (GA) have been significant.Firstly, to facilitate the dissemination of information, Nissan takes advantage of GA’s flexible profile setting and custom reporting. The customer reports allow Nissan to easily perceive complex information in one view, dramatically reduce the time to summarise multiple reports, document the findings and share this within the organisation. Secondly, GA’s partner Ayudante provided expertise and guidance in optimizing these features. As a result Nisan has been decentralize access to their different market operations. Finally, GA give Nissan access to timely information, which enables more accurate decision making that has real effect on the company’s bottom line (Google Inc. 2013).
REFERENCES
Clifton, B., 2012, Advanced web metrics with Google Analytics, John Wiley & Sons.
Google Inc., 2012, , Travelocity Case Study, viewed at 15 September 2014, from http://www.google.com.au/analytics/customers/pdfs/travelocity.pdf
Google Inc., 2013, Nissan Case Study, viewed at 15 September 2014, from http://www.google.com.au/analytics/customers/pdfs/nissan.pdf
Plaza, B. 2009, Using Google Analytics for measuring in-links effectiveness. Faculty of Economics / University of the Basque Country & Art4pax Foundation, 23 December.