Course Information

  • Sessions 1 day
  • Duration 7.5 hrs
  • Level Beginner
  • Assessment NA

Venue

12 Woodlands Square #07-85/86/87 Woods Square Tower 1, Singapore 737715. 5 mins walk from Woodlands (NS9) MRT station.

The venue is disabled-friendly.

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Certification

  • Certificate of Completion from Tertiary Infotech - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Infotech.

Mastering Service Branding Strategies to Grow Your Business

Course Code: C233

What's This Course About

In today’s competitive business landscape, strong service branding is essential for differentiation and long-term success. This course provides a deep dive into service branding strategies, covering key aspects such as brand positioning, communication strategies, and customer experience. Participants will explore real-world examples of service branding success and understand how branding initiatives impact business performance. Through structured frameworks, they will learn how to develop and implement effective service branding strategies that foster customer loyalty and enhance brand perception.

By the end of the course, participants will be equipped with actionable insights to evaluate branding effectiveness and measure its impact on business growth. The course also provides methods to assess key branding metrics, ensuring organizations can refine and optimize their branding strategies for sustained competitive advantage. Whether you’re a business owner, marketing professional, or brand strategist, this course will empower you to elevate your service brand and drive business success.

Funding Options

No funding available for this course.

For Wsq funding, please cheackout the details at WSQ - Service Branding Strategies to Elevate Your Business

Course Fee

$350.00 (GST-exclusive)
$381.50 (GST-inclusive)

Course Date

Course Time

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Additional Note

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

Post-Course Support

  • We provide free consultation related to the subject matter after the course.
  • Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts.

Cancellation & Reschedule Policy

  • You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commences.
  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% for any paid amount.
  • Note the venue of the training is subject to changes due to availability of the classroom.

Course Details

Course Details

What You'll Learn

Topic 1: Understanding Service Branding and Its Business Impact

Role of service branding in an organization’s branding strategy

Importance and benefits of service branding initiatives

Impact on business performance and competitive advantage

Topic 2: Developing an Appreciation for Service Branding 

Exploring real-world examples of service branding success

Identifying how service branding creates a competitive advantage

Appreciating service branding’s role in market differentiation

Topic 3: Service Branding Communication Strategy & Customer Experience

Understanding an organization’s branding strategy and its role in service branding

Frameworks for developing and implementing a service branding strategy

Strategies to champion service brand adoption

Differentiating service brands for a competitive advantage

Topic 4: Evaluating the Impact of Service Branding Initiatives

Methods for evaluating service branding effectiveness

Measuring the impact on business performance

Key metrics for assessing branding success

Course Info

Promotion Code

Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.

Minimum Entry Requirement

Knowledge and Skills

  • Able to operate using computer functions
  • Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

  • Positive Learning Attitude
  • Enthusiastic Learner

Experience

  • Minimum of 1 year of working experience.

Target Age Group: 21-65 years old

Minimum Software/Hardware Requirement

Software:

You can download and install the following software:

Hardware: Windows and Mac Laptops

Job Roles

Job Roles

  • Brand Manager
  • Marketing Director
  • Customer Experience Manager
  • Business Development Manager
  • Service Branding Consultant
  • Digital Marketing Specialist
  • Public Relations Executive
  • Corporate Communications Manager
  • Product Marketing Manager
  • Market Research Analyst
  • Advertising Strategist
  • Sales and Marketing Manager
  • Social Media Marketing Manager
  • Content Marketing Strategist
  • Customer Success Manager
  • Entrepreneur / Business Owner
  • UX/UI Designer (Brand Experience)
  • Retail Marketing Manager
  • Franchise Development Manager
  • Loyalty Program Manager

Trainers

Trainers

Richard Wan

Richard Wan is an ACLP-certified lecturer and software consultant with over 40 years of experience in software and hardware development, spanning AI, computer vision, and machine learning. He began his programming career with 8-bit computing in the late 1970s and went on to earn his M.Sc. in Electrical Engineering (Computer Vision) from the University of Wisconsin–Madison. His professional contributions include co-founding multiple high-tech companies, pioneering digital publishing technologies, and leading AI-driven software development in healthcare, defense, and manufacturing.

Richard has taught a wide range of technical courses, including machine learning with Scikit-Learn, deep learning with TensorFlow and PyTorch, and computer vision with OpenCV. In predictive analytics, he emphasizes the use of PyTorch for building deep learning models that can forecast trends, detect anomalies, and classify outcomes. His teaching approach blends decades of hands-on development with structured, beginner-friendly instruction, equipping learners with practical skills to transform data into prediction.

Review

Customer Reviews (44)

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