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MKT46290

Academic Year 2024/2025

Digital Tracking and Analytics (MKT46290)

Subject:
Marketing
College:
Business
School:
Business
Level:
4 (Masters)
Credits:
8
Module Coordinator:
Dr Julie Schiro
Trimester:
Summer
Mode of Delivery:
Not yet recorded
Internship Module:
No
How will I be graded?
Letter grades

Curricular information is subject to change.

This course focuses on leveraging customer data to answer a fundamental business question: "Is our marketing working?" Through a detailed exploration of digital tracking, attribution modelling, conversion and brand lift studies, and media mix modelling, we’ll explore a multi-pronged approach to addressing this deceptively difficult question.

We’ll first concentrate on obtaining high-quality data, a prerequisite for any meaningful analysis, with an emphasis on digital tracking in a post-third-party cookie environment. Specifically, we’ll delve into the growing role of identity graphs using AI, first-party tracking cookies, data clean rooms, and server-to-server cookies. Additionally, we’ll explore alternative methods for establishing marketing effectiveness, such as conversion and brand lift studies.

Next, we’ll transition into the analysis phase. We’ll investigate how to evaluate key performance indicators (KPIs), model attribution, and assess the effectiveness of digital and traditional marketing efforts concurrently using media mix modelling. By the end of the course, students will possess a robust toolkit for measuring, evaluating, and optimising digital campaigns. They will also understand how these campaigns contribute to the overall effectiveness of their marketing strategy.

About this Module

Learning Outcomes:

Gain a comprehensive understanding of sophisticated digital tracking methods including identity graphs, 1st-party tracking cookies, data clean rooms, and server-to-server cookies

Apply different attribution models strategically and with a keen eye to insights but also limitations of this methodology

Design and interpret conversion and brand lift studies

Understand the role of media mix modelling in evaluating long term portfolio effectiveness

Measure, evaluate, and optimise digital marketing campaigns to enhance overall marketing effectiveness.

Student Effort Hours:
Student Effort Type Hours
Autonomous Student Learning

144

Lectures

24

Total

168


Approaches to Teaching and Learning:
Not yet recorded

Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Not applicable to this module.
 

Assessment Strategy  
Description Timing Component Scale Must Pass Component % of Final Grade In Module Component Repeat Offered

Not yet recorded.


Carry forward of passed components
Not yet recorded
 

Not yet recorded

Please see Student Jargon Buster for more information about remediation types and timing. 

Not yet recorded