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(ISACA) International Journal of Advanced Computer Science and Applications, Vol. 10, No. 2, 2019Browsing Behavior Analysis using Data Mining Hamid Mukhtar1, Mariana Seemi2, Hanna Aslam3, Sana Khattak4 1College
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Start by collecting browsing behavior data from your users. This can include the pages they visit, the time they spend on each page, the links they click, and any actions they take on your website.
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Use a tool or software to track and monitor this data. There are many tools available, such as Google Analytics, that can help you collect and analyze browsing behavior data.
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Once you have collected the data, analyze it thoroughly to identify patterns and trends. Look for common behaviors or actions that your users take, as well as any anomalies or deviations from the norm.
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Use this analysis to gain insights into your users' preferences, interests, and needs. This can help you optimize your website, improve user experience, and make informed marketing and business decisions.
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Regularly update and review your browsing behavior analysis to stay up-to-date with your users' changing behaviors and preferences. This will ensure that your strategies and tactics remain effective and relevant.

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Browsing behavior analysis is beneficial for various individuals and businesses, including:
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- E-commerce businesses that want to personalize their product recommendations and improve conversion rates
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- UX/UI designers who want to enhance user experience and create intuitive website interfaces
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- Researchers and analysts who want to study user behavior patterns and trends
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Browsing behaviour analysis is using analytics tools and software to track and analyze how users interact with a website or online platform.
Website owners, online businesses, and digital marketers are required to file browsing behaviour analysis using.
Browsing behaviour analysis can be filled out by setting up tracking tools like Google Analytics, monitoring user interactions, and analyzing the data collected.
The purpose of browsing behaviour analysis is to understand user behavior, improve website performance, make data-driven decisions, and enhance user experience.
Information like pageviews, bounce rate, session duration, demographics, devices used, and popular content must be reported on browsing behaviour analysis.
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