WEB ANALYTICS
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Gitam university WEB ANALYTICS SOLVED PAPERS AND GUESS
Product Details: Gitam university mba WEB ANALYTICS SOLVED PAPERS AND GUESS
Pub. Date: NEW EDITION APPLICABLE FOR Current EXAM
Publisher: MEHTA SOLUTIONS
Edition Description: 2019-20
RATING OF BOOK: EXCELLENT
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If you find yourself getting fed up and frustrated with other Gitam university book solutions now mehta solutions brings top solutions for Gitam university mba WEB ANALYTICS SOLVED PAPERS AND GUESS book contains previous year solved papers plus faculty important questions and answers specially for PTU University .questions and answers are specially design specially for Gitam university students .
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WEB ANALYTICS
UNIT–I: Introduction to Web Analytics: Concept of web analytics, Importance and benefits of Web Analytics, Selecting a web analytic tool, Web Metrics – Visits and Visitors, Time on page and Time on site, Bounce Rate, Exit Rate, Conversion rate, Engagement, Attributes of metrics, Strategic elements related to web metrics – diagnosing root cause, leveraging customer reports, macro view of the site’s performance
UNIT–II: Clickstream Analysis and KPI’s: Understanding the web metrics of a web site, Producing web analytics report, Foundational Analytical strategies – Segmentation, Focus on Customer Behaviour, Different
Clickstream Analysis, Web analytics challenges, Actionable outcome KPIs, understanding the conversion rates, measuring macro and micro conversions, quantifying economic value, measuring success for non – economic website
UNIT–III: Leveraging Qualitative Data, Testing and Experimentation: Lab Usability Studies, Usability Alternatives, Surveys, Web-enabled emerging user research options, Testing – A/B Testing, Multivariate Testing, Actionable Testing ideas, Controlled Experiments, Creating and Nurturing a testing culture, Competitive Intelligent Analysis – CI data sources, types and secrets, web traffic analysis, search and keyword analysis
UNIT–IV: Emerging Analytics: Social Analytics – Data challenge, content democracy evolution, twitter revolution, analyzing offline customer experiences, analyzing mobile customer experiences, Measuring the success of blogs, Quantifying the impact of Twitter, Analysing performance of videos, Hidden web analytics traps – accuracy or precision, Dealing with data quality, Building action dashboard, Nonline marketing opportunity and multichannel measurement, Behaviour Targeting, Challenges in Online data mining and Predictive Analytics
UNIT–V: Principles of an Analyst: Understanding the context, Comparing KPIs over time, measuring latent conversions, understanding the search analytics, Multitouch Campaign Attribution Analysis, Multichannel Analytics.
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