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Web Analytics 102

B
Bermon Painter

The document discusses web analytics, emphasizing the challenges of extracting insights from large amounts of data and the importance of methods like clickstream analysis, experimentation, and voice of customer feedback. It categorizes analytical approaches for small, medium, and large businesses, highlighting key factors such as outcomes, testing, and competitive intelligence. Additionally, it contrasts reporting and analysis, suggesting a decentralized approach to decision-making and knowledge distribution.

Technology
Related topics:
Web Analytics Overview
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Web Analytics 102 + Tips & Tricks with Google Analytics Bermon Painter - @bermonpainter - bermonpainter.com
The Paradox of Data Lots of data, little insights
Clickstream Multiple Outcomes Analysis Experimentation and Testing Voice of Customer Competitive Intelligence Insights
Clickstream What Multiple Outcomes Analysis How Much Experimentation and Testing Why Voice of Customer Why Competitive Intelligence What Else Insights Insights!
Clickstream Multiple Outcomes Analysis Experimentation and Testing Voice of Customer Competitive Intelligence Insights
Clickstream Multiple Outcomes Analysis Experimentation and Testing Voice of Customer Competitive Intelligence Insights
Clickstream Multiple Outcomes Analysis Experimentation and Testing Voice of Customer Competitive Intelligence Insights
Clickstream Multiple Outcomes Analysis Experimentation and Testing Voice of Customer Competitive Intelligence Insights
Clickstream Multiple Outcomes Analysis Experimentation and Testing Voice of Customer Competitive Intelligence Insights
Clickstream Multiple Outcomes Analysis Experimentation and Testing Voice of Customer Competitive Intelligence Insights
Small Business 1. Clickstream 2. Outcomes 3. Voice of Customer
Medium Business 1. Outcomes 2. Clickstream 3. Voice of Customer 4. Testing
Large Business 1. Voice of Customer 2. Outcomes 3. Clickstream 4. Testing 5. Competitive Intelligence
Reporting vs. Analysis
1. Decentralized Decision Making
2. History
3. Risk Taking
4. Distribution of Knowledge
5. Availability of Raw Analytical Brainpower
More on Clickstream
1. Visits
2. Unique Visits
3. Time on Page / Time on Site
4. Bounce Rate
5. Exit Rate
6. Conversion Rate
Google Analytics Tips & Tricks

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Web Analytics 102