Campaign Analytics

Overview

Reference No	TGS-2020001441
Part of	Graduate Certificate in Customer Analytics
Duration	3 days
Course Time	9:00am - 5:00pm
Enquiry	Please contact ask-iss@nus.edu.sg for more details.

Campaign Analytics course will enable participants to harness the power of data analytics to design, execute, and monitor marketing campaigns with the aim of achieving tangible business growth. In today's business landscape, companies have access to vast customer databases that can be utilized to facilitate personalised, one-to-one marketing in conjunction with traditional mass communication tools.

Professionals in this field need to be adept at setting up tests within both traditional and digital realms and be skilled at executing thorough analysis, interpreting results, and assessing return on investment (ROI). Successful planning, optimisation, execution, and measurement of such campaigns necessitate a deep understanding of campaign management concepts, methods, analytical tools, data modeling techniques, and key performance indicators (KPIs) to support decision-making and action.

Our hands-on course offers practical guidance on selecting the optimal mix of media channels and measuring campaign effectiveness. We delve into advanced topics such as Generative AI applications in campaign analytics. Through a series of interactive workshops, participants will gain proficiency in using a variety of software tools including R, Python, and JMP to apply these concepts in real-world scenarios.

This course is part of the Data Science and Graduate Certificate in Customer Analytics Practice Series offered by NUS-ISS. It is the third course in a series of three courses for the Graduate Certificate in Customer Analytics.

Candidates interested in Stackable Certificate Programme in Data Science must complete two Fundamental Certificates before registering for this certificate as this is a certificate at specialist level.

Upcoming Classes

Class 1 21 Feb 2026 to 07 Mar 2026 (Full Time)

Duration: 3 days

When:

Feb:

21(Sat), 28(Sat)

Mar:

07(Sat)

Time:

9:00am - 5:00pm

Key Takeaways

By the end of the course, participants will gain the following skills and insights:

Comprehensive Understanding of Media Landscape: Acquire in-depth knowledge of the media landscape and its pivotal role in shaping marketing strategy.
Audience Targeting: Utilise advanced techniques for effective audience targeting and personalised recommendations.
Measuring media efficiency and effectiveness : Apply advanced analytics modeling solutions to assess both short-term and long-term impacts of media channels on crucial business KPIs.
Generative AI Applications: Harness the power of Generative AI techniques for campaign analytics, enhancing campaign effectiveness and engagement.

Who Should Attend

Marketing practitioners and data analysts preferably with more than two years of experience
Professionals who have an active interest in campaign analytics and consumer insights domain
Marketing Managers, Media Managers, Senior Marketing Analysts and Marketing Analysts
Business Development Managers, Senior Business Analysts and Business Analysts
Data Managers, Senior Data Analysts, Senior Information Analysts, and Information Analysts

Prerequisites

Participants are required to have completed the Statistics Bootcamp II course prior to attending this course.
Participants also need to have a strong interest and knowledge in basic predictive modelling and be familiar with R/Python. The workshops will be conducted in R/Python and JMP.

What to Bring

No printed copies of course materials are issued.
Participants must bring their internet-enabled computing device (laptops, tablet etc) with power charger to access and download course materials.

If you are bringing a laptop, please see below for the tech specs:

	Minimum	Recommended
Operating Systems	• Windows 7, 8, 10 or • Mac OS	Laptop running the latest version of either Windows or Mac OS
System Type	32-bit	64-bit
Memory	8 GB RAM	16+ GB RAM
Hard Drive	256 GB disk size
Others	• An internet connection – broadband wired or wireless • Installation permissions (non-company laptops) • Keyboard • Mouse/Trackpad • Display • Power adapter (laptop battery might run out)	DirectX 10 graphics card for graphics hardware acceleration

Additional Software Requirements:
• JMP
• R/ Python

What Will Be Covered

Throughout the course, participants will delve into the following key areas:

Media Landscape Analysis: Gain a deep understanding of the media landscape and identify key decisions essential for effective campaign management. Learn to define relevant KPIs crucial for assessing campaign performance.
Campaign analytics techniques for audience targeting and personalized recommendations.
Marketing Mix and Attribution Modelling to accurately measure the ROI of different media channels and to assess the impact of different media channels on campaign effectiveness.
Generative AI Applications: Explore the applications of Generative AI in campaign analytics. Discover how AI-driven insights can optimise campaign performance and deliver tailored experiences to target audiences.

Fees & Subsidies

Fees for 2024

	Full Fee	Singaporeans & PRs (self-sponsored)
Full course fee	S$2700	S$2700
ISS Subsidy	-	(S$270)
Nett course fee	S$2700	S$2430
9% GST on nett course fee	S$243	S$218.70
Total nett course fee payable, including GST	S$2943	S$2648.70

Note:

All fees and subsidies are valid from January 2024, unless otherwise advised.
All self-sponsored Singaporeans aged 25 and above can use their SkillsFuture Credit to pay for course fees. For more information about SkillsFuture Credit, click here.
From 1st January 2024, the GST will be increased to 9%.

Certificate

Certificate of Completion
Participants have to meet a minimum attendance rate of 75% and are required to pass the assessment to be issued a Certificate of Completion.

Join Us

Preparing for Your Course

NUS-ISS Course Registration Terms and Conditions

Find out more.

NUS-ISS and Learner’s Commitment and Responsibilities

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WIFI Access

WIFI access will be made available to participants.

Venue

NUS-ISS
25 Heng Mui Keng Terrace
Singapore 119615

Click HERE for directions to NUS-ISS

In the event of a change of venue, participants are advised to refer to the acceptance email sent one week prior to the commencement date.

Course Confirmation

All classes are subject to confirmation and NUS-ISS will send an acceptance email to participants one week prior to the commencement date. Confirmed registrants are to attend and complete all lectures, class exercises, workshops and assessments (where applicable). Additionally, all responses to feedbacks and surveys conducted by NUS-ISS and its partners must be submitted. All training and assessments will be delivered as described in the course webpage.

General Enquiry

Please feel free to write to ask-iss@nus.edu.sg if you have any enquiry or feedback.

Course Resources

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