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Course Description

This course prepares students to understand the appropriate web analytics technologies associated with digital marketing and the key performance indicators and metrics used to determine performance. After completion of this course, students will be able to determine appropriate key performance indicators, apply analytics to segmented strategies, create web analytics reports, and understand research and testing in social media analytics.

This undergraduate course is 5 weeks.

PLEASE NOTE:
Attendance and participation are mandatory in all university courses, and specific requirements may differ by course. If attendance requirements are not met, a student may be removed from the course. Please review the Course Attendance Policy in the Catalog for more information.

Course Objectives

Week 1

  • Assess how digital analytics supports fact-based decision making. 
  • Identify the nine digital analytics P’s and how they are related to the six phases of the analytical value chain. 
  • Summarize the key characteristics and activities of an analytics team. 

Week 2

  • Analyze various categories and types of data and mobile analytics tools. 
  • Create a compelling story using data analysis. 
  • Relate types of data, statistics, and data visualizations to business and marketing needs. 
  • Explain processes used to collect digital data. 

Week 3

  • Assess the difference between dashboarding, reporting, and analysis. 
  • Evaluate how Key Performance Indicators are used to report on and optimize performance. 
  • Define “optimization” in the context of digital marketing and web analytics. 
  • Analyze how segmentation can help identify data that changed in Key Performance Indicators. 

Week 4

  • Compare methods used to integrate digital behavioral data with qualitative data. 
  • Analyze competitive intelligence in order to gain insight on market opportunities. 
  • Summarize methods used to measure and track customer experience and satisfaction. 
  • Explain how competitive intelligence makes Key Performance Indicators meaningful within the competitive context. 
  • Evaluate digital competitive intelligence tools, methods, and process activities. 

Week 5

  • Assess the goals, steps, and methods for behavioral targeting. 
  • Explain how analytics data is used to target specific market segments. 
  • Define forms and best practices of retargeting across digital media. 
  • Evaluate how integrated digital data can be used ethically to comprehend the patterns, behaviors, and performance of digital audiences. 

Prerequisites

None

Disclaimers

The University of Phoenix reserves the right to modify courses.

While widely available, not all programs are available in all locations or in both online and on-campus formats. Please check with an Enrollment Representative.

Transferability of credit is at the discretion of the receiving institution. It is the student’s responsibility to confirm whether or not credits earned at University of Phoenix will be accepted by another institution of the student’s choice.

If you have a question contact us at 866-345-1800.

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WEB ANALYTICS FOR DIGITAL MARKETING
Type
Instructor Led
Days
T, M
Time
12:00AM to 11:59AM
Dates
Apr 28, 2020 to Jun 01, 2020
Campus
Online Campus
Building
Online Non-Degree
Schedule and Location
Contact Hours
119.8
Location
  • Online Campus
Course Fee(s)
Undergraduate Tuition credit (3 units) $1,194.00 Click here to get more information
Section Fees
Resource Fee $170.00 Mandatory
Credits/Units
3 Credit Hours
WEB ANALYTICS FOR DIGITAL MARKETING
Type
Instructor Led
Days
T, M
Time
12:00AM to 11:59AM
Dates
Aug 11, 2020 to Sep 14, 2020
Campus
Online Campus
Building
Online Non-Degree
Schedule and Location
Contact Hours
119.8
Location
  • Online Campus
Course Fee(s)
Undergraduate Tuition credit (3 units) $1,194.00 Click here to get more information
Section Fees
Resource Fee $170.00 Mandatory
Credits/Units
3 Credit Hours
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