What is ClickStream Data Analysis

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I am a beginner to Bigdata Analytics. Recently, I learned about an interesting scenario called clickstream data analysis. I understand what is clickstream data in a very brief manner but, I would like to know more about this and different scenarios in which it can be used. I would like to know the business context where click stream data analysis is used and the set of tools we need to process the data in different steps of each scenario.

Thank you.

Mar 22, 2018 in Big Data Hadoop by Ashish
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1 answer to this question.

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On a Web site, clickstream analysis (also called clickstream analytics) is the process of collecting, analyzing and reporting aggregate data about which pages a website visitor visits -- and in what order. 

The path the visitor takes though a website is called the clickstream. There are two levels of clickstream analysis, traffic analytics and e-commerce analtyics. Traffic analytics operates at the server level and tracks how many pages are served to the user, how long it takes each page to load, how often the user hits the browser's back or stop button and how much data is transmitted before the user moves on. 

Learn more about Big Data and its applications from the Azure Data Engineer training.

E-commerce-based analysis uses clickstream data to determine the effectiveness of the site as a channel-to-market. It's concerned with what pages the shopper lingers on, what the shopper puts in or takes out of a shopping cart, what items the shopper purchases, whether or not the shopper belongs to a loyalty program and uses a coupon code and the shopper's preferred method of payment. Because an extremely large volume of data can be gathered through clickstream analysis, many e-businesses rely on big data analytics and related tools such as Hadoop to help interpret the data and generate reports for specific areas of interest. Clickstream analysis is considered to be most effective when used in conjunction with other, more traditional, market evaluation resources.

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answered Mar 22, 2018 by kurt_cobain
• 9,390 points

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