Optimize Growth: Map and Evaluate ROI is a beginner-level course designed for aspiring business analysts, marketers, and strategists who want to master the foundational skills of driving and measuring business growth. This course will equip you to move beyond ideas and build compelling, data-backed business cases. You will learn to apply the Ansoff Matrix, a powerful strategic framework, to systematically identify and map potential growth opportunities, from market penetration to diversification.

Optimize Growth: Map and Evaluate ROI

Optimize Growth: Map and Evaluate ROI
This course is part of Marketing Analysis and KPIs Specialization

Instructor: LearningMate
Included with
Recommended experience
What you'll learn
Map growth with the Ansoff Matrix and evaluate campaign ROI and KPIs to make data-informed business decisions.
Details to know

Add to your LinkedIn profile
February 2026
See how employees at top companies are mastering in-demand skills

Build your subject-matter expertise
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate

There are 2 modules in this course
In this module, you will learn how to move from abstract ideas to a structured growth plan. We will introduce the Ansoff Matrix, a powerful framework for identifying four key growth pathways. You will learn to classify strategic initiatives like NVIDIA's pivot to AI and then apply this framework to a business scenario. You will also learn how to attach numbers to your strategy by performing sensitivity analysis to forecast potential revenue, a critical skill for gaining stakeholder buy-in.
What's included
2 videos2 readings2 assignments
In this module, you will learn how to measure what matters. We will cover how to evaluate the effectiveness of a campaign by comparing actual results to your initial targets. You will learn to calculate ROI, analyze key performance indicators (KPIs), and, most importantly, uncover the "why" behind the numbers by identifying variance drivers. This module will empower you to create reports that not only show what happened but also provide clear, data-driven recommendations for what to do next.
What's included
2 videos1 reading2 assignments
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructor

Offered by
Explore more from Business Strategy
Why people choose Coursera for their career

Felipe M.

Jennifer J.

Larry W.

Chaitanya A.

Open new doors with Coursera Plus
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy
Frequently asked questions
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
More questions
Financial aid available,
¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.





