Web Analytics
Web Analytics
Regular price
$808 USD
Regular price
Sale price
$808 USD
Unit price
per
Web wonders, woven with data! Dive into data points that drive decisions. From traffic trends to user journeys, insights instilled. Measure, manage, magnify!
Course Duration:35 hours
Credits:
CEU Credits: 0.35
AMA PCM CEU Credits: 3.5
PDU Credits: 3.5
HRCI Credits: 3.5
SHRM Credits: 3.5
CFRE Credits: 0
ATD CI Credits: 4
ACE Credits: 0
Course Description
This course is designed to help learners develop a solid understanding of the basic concepts and techniques that they will encounter as practitioners in the web analytics field. Topics of major concern that are discussed in Module 1 include a summary of web analytics concepts and important terms, along with the organizations and personnel who use web analytics. The course defines key performance indicators and discusses how they are chosen and implemented. A discussion of segmentation follows, with strategies for how to categorize website visitors. Students will also learn how to plan and assess website business strategies using web analytics. In Module 2, learners will explore reporting and dashboards as they relate to web analytics. Students will gain an understanding of how to plan for and design dashboards and how qualitative research offers deeper business insights. In addition, students will learn how to conduct split and multivariate testing, and implement web analytics best practices.
Learning Outcomes
Define web analytics
Define key terms used in web analytics
Explain how web analytics evolved
Discuss how different organizations use web analytics
Identify who uses web analytics in an organization
Explain the difference between search engine optimization (SEO) and search engine marketing (SEM)
Describe the difference between metrics and KPIs
Describe what segmentation is and how it can improve the usability of a website
Describe what dashboards are and why they are useful
Identify what should go into a dashboard
Define the difference between implicit and explicit data
Explain the use of dynamic content
Describe landing page optimization best practices
Articulate the importance of experimentation and testing in web analytics
Explain the differences between A/B and multivariate testing
Identify where a visitor is in the buying cycle and purchase funnel
Define common e-commerce metrics
Describe how surveys and qualitative information is used in web analytics
Identify when it is appropriate to include developers and page tagging
Testimonials
Chloe T.
I thoroughly enjoyed learning about web analytics.
Marta S.
Excellent content.