In this course, Avinash walks through the major concepts of Web Analytics including specific frameworks he has developed to understand web data.
From a comprehensive Web Analytics overview to organizational readiness to segmentation to competitive analysis, Avinash opens the door for analysts and non-analysts alike to gather a rather deep understanding of a traditionally complex topic and make it accessible for everyone inside any organization.
Web Analytics Foundations Course Materials Includes:
Section 1: Introduction to Web Analytics
Section 2: Key Performance Indicators
Section 3: Segmentation
Section 4: Qualitative Data
Section 5: Experimentation & Testing
Section 6: Competitive Intelligence
Section 7: Campaign Tracking
Section 8: Organization
Section 9: Multi-Channel Attribution
Watch the Introductory Video – Free
Upon completion of the Web Analytics Foundations course, you will be able to accomplish the following:
- Describe how Web Analytics can benefit your business online and offline
- Recognize the inherent limitations of clickstream data
- Define the concept of Web Analytics 2.0
- Distinguish a KPI from a metric
- Recite and recognize the four necessary attributes of a great KPI
- Explain how segmentation can reveal hidden details and nuances about customer behavior
- Describe the importance of analyzing segments related to acquisition, behavior, and outcomes
- Express the value of using qualitative data from surveys
- Define A/B testing and multivariate testing
- List the pros and cons of A/B testing and multivariate testing
- Identify the types of data available through competitive intelligence tools
- Describe the importance of campaign tracking for complex marketing programs
- Identify team structures that work at small businesses and large businesses
- Explain the concept of attribution modeling
Check out Digital Analytics training here.
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