Course Summary
This is a two day hands on course designed for professionals who want to use analytics more effectively in marketing strategy, customer understanding and campaign optimisation.
Participants will learn how to analyse customer behaviour, assess campaign performance, build data driven customer personas and use analytics to support better marketing decisions. The course also covers practical methods such as A/B testing, multi channel attribution, predictive analytics, customer journey mapping and data visualisation. The programme connects marketing analytics with real business outcomes. Participants will explore how analytics can improve targeting, budget allocation, customer engagement, campaign effectiveness and growth strategy.
The course also introduces current developments in AI driven marketing analytics, machine learning applications and responsible data use. Participants will learn how to apply analytics while considering data ethics, privacy and responsible decision making. By the end of the course, participants will have a clearer framework for using marketing data to generate insight, improve performance and support business growth.
Frequently Asked Questions
What is this course about?
This course is about using marketing analytics to support better customer understanding, campaign optimisation and business growth.
Participants will learn how to collect, analyse and interpret marketing data, then apply the insights to improve customer segmentation, campaign performance, attribution, experimentation and strategic decision making.
What are the learning outcomes?
By the end of this course, participants will be able to:
- Apply advanced data collection, management and analysis techniques to improve marketing performance
- Analyse customer behaviour and identify meaningful audience segments
- Develop data driven customer personas based on marketing insights
- Use predictive analytics to support forecasting, planning and customer understanding
- Assess campaign effectiveness through multi channel attribution and A/B testing
- Apply AI, machine learning and marketing mix modelling to support strategy and budget allocation
- Use data visualisation techniques to communicate insights more clearly
- Understand privacy, ethics and responsible data use in marketing analytics
What are the course modules?
The course covers the following practical modules:
- Marketing Analytics Landscape
- Advanced Data Collection and Management
- Customer Segmentation
- Customer Persona Development
- Hands On Workshop: Creating Customer Journey Maps
- Case Study Review and Discussion
- Exploring AI Driven Marketing Analytics Tools
- Advanced Predictive Modelling and Machine Learning
- Multi Channel Attribution Modelling
- A/B Testing and Experimentation Masterclass
- Privacy and Ethics in Marketing Analytics
Each module connects marketing analytics concepts with practical business application, including customer understanding, campaign measurement, experimentation, data visualisation and growth strategy.
Who should attend this course?
This course is suitable for:
- Marketing Managers and Executives
- Digital Marketing Managers
- Brand Managers
- Customer Experience Managers
- CRM and Loyalty Managers
- Performance Marketing Specialists
- Campaign Managers
- Content and Social Media Managers
- Business Analysts supporting marketing teams
- Data and Business Intelligence professionals working with marketing data
- Business owners responsible for marketing growth
Who is the lead trainer?
Elizabeth Taylor
META Certified AI & Digital Marketing Trainer, Professional Speaker, and LinkedIn Top Voice
The lead trainer is Elizabeth Taylor. Elizabeth is an experienced Business & Marketing trainer with over 25 years of expertise in business strategy, training, and execution. Passionate about bringing clarity to the evolving world of digital marketing, she equips professionals with the strategies and tools needed to grow their businesses. Elizabeth specializes in business and marketing audits, digital marketing training, and 1-on-1 business coaching. Her client portfolio includes global brands like Apple, Moët, Novartis, and L’Oréal, as well as SMEs across industries such as coaching, food & beverage, fashion, and non-profits. Previously, Elizabeth spent 12 years in professional academia, tutoring digital marketing for Ascento Learning & Development and Google Squared, and teaching UK-based CIM marketing courses. She also built her early career in the entertainment industry, leading marketing campaigns for Warner Bros. and Universal Pictures, including major franchises like Harry Potter and Fast and Furious.
How long is this course?
This is a two day corporate training course.
What are the date and venue details?
- The public training for this course has concluded for the current year.
- This course is available for in house training.
How much is the course fee?
- For public training, the course fee is RM3,500 per participant. The fee includes applicable taxes and one night stay at the event hotel. A group fee of RM3,150 per participant is available for registrations of three participants and above.
- For in house training, fees are quoted based on the programme scope, number of participants, delivery format and customisation requirements.
Is this course HRD Corp claimable?
- For public training, this course is 100% HRD Corp claimable for eligible employers, subject to HRD Corp approval and the applicable claim process.
- For in house training, HRD Corp claimability depends on employer eligibility, course approval and submission requirements.
How do I learn more or register?
- To learn more, download the course brochure from the right panel.
- For public course registration, complete the registration form in the brochure and email it to registration@skill-lyft.com.
- For in house training enquiries, contact Skill-Lyft and our team will advise on programme scope, customisation, dates and the next steps.
- Last updated: July 2026
