Key Takeaways
By the end of this course, participants will be able to:
- Apply customer segmentation techniques to identify high-value customer groups and develop differentiated value propositions.
- Design omnichannel personalisation strategies using consumer analytics, AI and customer insights.
- Apply predictive analytics, RFM analysis and Customer Lifetime Value (CLV) modelling to improve customer retention and profitability.
- Apply recommender systems to personalise customer experiences and increase engagement.
- Leverage AI to generate, compare and evaluate customer engagement, retention and personalisation strategies.
- Translate customer analytics into evidence-based customer decisions and actionable business strategies that improve customer experience and business performance
Who Should Attend
This course is designed for professionals in customer analytics, marketing, customer experience, digital transformation and product management who wish to leverage analytics and AI to improve customer engagement, retention and business performance. It is particularly suitable for customer experience, CRM and marketing professionals, customer insights and analytics practitioners, product and service managers, business analysts and consultants.
Pre-requisites
Participants should have a basic understanding of business data and an interest in applying analytics and AI to customer-related challenges. Prior completion of Data-Driven Consumer Business Models is preferred. Some familiarity with basic statistics and analytics as well as Python programming would be beneficial.
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
|
What Will Be Covered
- Customer Segmentation & Value Proposition: Apply customer segmentation, behavioural analytics and dimensionality reduction techniques to identify high-value customer groups and develop differentiated value propositions.
- Omnichannel Personalisation: Leverage campaign analytics, AI and sentiment analysis to deliver personalised customer experiences across channels and touchpoints while evaluating next-best actions and engagement strategies.
- Customer Relationship Analytics: Build customer retention strategies using predictive analytics, Customer Lifetime Value (CLV) modelling and RFM analysis to maximise long-term customer value.
- Customer Loyalty & Advocacy Analytics: Apply recommendation systems, and community analytics together with AI-assisted decision support to strengthen customer loyalty, advocacy and sustainable business growth.
Fees & Subsidies
SkillsFuture Singapore (SSG) Funding 2026 (Effective 1 July)
| Fee Component | Full Course Fees | Singapore Citizens & PRs Aged 21 Years and Above (70% Funding Support) | Singapore Citizens Aged 40 Years and Above (90% Funding Support) | Enhanced Training Support for SMEs (ETSS) (90% Funding Support) |
|---|
| Full Course Fee | S$3,800.00 | S$3,800.00 | S$3,800.00 | S$3,800.00 |
| SSG Funding | - | S$2,660.00 | S$2,660.00 | S$2,660.00 |
| Nett Course Fee | S$3,800.00 | S$1,140.00 | S$1,140.00 | S$1,140.00 |
| 9% GST on Nett Course Fee | S$342.00 | S$102.60 | S$102.60 | S$102.60 |
| Additional Funding if Eligible Under Various Schemes | - | - | S$760.00 | S$760.00 |
| Total Nett Course Fee Payable, Including GST | S$4,142.00 | S$1,242.60 | S$482.60 | S$482.60 |
|---|
Note:
- SSG Funding is available to qualified individuals, subject to meeting the attendance requirement and passing of assessment.
- 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.
- SME fees are applicable only to participants who are sponsored by small and medium enterprises.
- SSG funding is subjected to availability.
Certificate
The ISS Certificate of Completion will be issued to participants who have attended at least 75% of the course and pass the required assessments.
Preparing for Your Course
NUS-ISS Course Registration Terms and Conditions
Find out more.
NUS-ISS and Learner’s Commitment and Responsibilities
Find out more.
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.