Web analytics is the analysis of the behaviour of internet users. It serves the following key objectives:
Web analytics tools use information from logs, cookies and/or page tagging processes to segment site visitors and track their progress down the prospecting funnel, from leads to enquiries, enquiries to prospects, and prospects to customers. They track conversion rates at each stage of the prospecting funnel.
Widely used web analytics platforms include:
Though platforms like Google Analytics are very versatile and highly sophisticated, they are syndicated services with limited scope for customization.
Custom designed platforms such as the one depicted in Exhibit 20.1 are better suited for specialized applications. However, they do incur high development costs and are therefore advisable only for big platforms that can afford to develop and maintain them.
Web analytics is an ongoing process of improvement that comprise these cyclical steps:
This chapter dwells on each step to explain the web analytics process in detail.
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Two-day hands-on training on Digital Marketing, conducted at the NUS Business School. Designed to make you more effective in developing and executing digital marketing strategies. You learn to use Google Search Console, Google Analytics and Google Ads to execute online marketing initiatives, run search and display advertising campaigns, and track and optimize performance.