Marketing Analytics

Marketing Analytics: Turning Campaign Data into Better Decisions

A practical, business-focused guide to measuring performance, proving impact, and improving marketing results

Marketing Analytics: Turning Campaign Data into Better Decisions logo
Quick Course Facts
16
Self-paced, Online, Lessons
16
Videos and/or Narrated Presentations
5.3
Approximate Hours of Course Media
About the Marketing Analytics: Turning Campaign Data into Better Decisions Course

Marketing Analytics: Turning Campaign Data into Better Decisions is a practical course for anyone who wants to measure marketing performance with confidence and use data to make smarter decisions. You’ll learn how to connect campaign activity to business outcomes, improve reporting quality, and turn raw data into clear actions that strengthen results.

Master Marketing Analytics To Improve Campaign Performance

  • Build a clear measurement framework that aligns marketing activity with business goals
  • Learn how to choose meaningful KPIs and avoid misleading metrics
  • Understand data sources, tracking basics, and governance best practices for reliable reporting
  • Use analysis, experimentation, and attribution to improve marketing decisions across channels

A practical, business-focused guide to measuring performance, proving impact, and improving marketing results

This Marketing Analytics course takes you through the full process of measuring and improving modern marketing. Starting with the foundations of marketing measurement, you’ll learn how to define objectives, select the right KPIs, and build a framework that supports better decision-making across campaigns and channels. The course also explains how marketing data is collected, how to spot common data quality issues, and how to create reports that stakeholders can trust.

As you progress, you’ll explore descriptive analytics, segmentation, funnel analysis, channel comparisons, retention, and customer value so you can understand what is happening and why. You’ll also cover testing and experimentation, attribution models, forecasting, and budget planning, giving you a more strategic view of performance. With practical guidance on dashboards, reporting, and optimisation, this course helps you create a repeatable Marketing workflow that supports ongoing improvement.

By the end, you’ll be able to interpret marketing data with more clarity, communicate insights more effectively, and make better choices about where to invest time and budget. You’ll finish with the skills to measure what matters, prove impact, and use Marketing Analytics to drive stronger results across your campaigns.

Course Lessons

Full lesson breakdown

Lessons are organized by topic area and each includes descriptive copy for search visibility and student clarity.

Foundations of marketing measurement

1 lesson

Marketing analytics is the practice of using campaign and customer data to understand what is working, what is not, and why. In this lesson, learners define marketing analytics in business terms, see …

From strategy to measurable outcomes

1 lesson

Lesson 2: Defining Business Goals and Marketing Objectives

18 min
This lesson shows how to move from broad business strategy to clear marketing objectives that can actually be measured. You will learn how to connect marketing work to business outcomes, choose the ri…

Building a useful measurement framework

1 lesson

Lesson 3: Choosing the Right KPIs

20 min
Choosing the right KPIs starts with the business question, not the dashboard. In this lesson, you will learn how to separate business outcomes , marketing KPIs , and operating metrics , so you measure…

How marketing data is collected

1 lesson

Lesson 4: Understanding Data Sources and Tracking Basics

20 min
This lesson explains how marketing data is collected and why the source of the data matters before you trust any report or dashboard. Learners will see the main tracking touchpoints across websites, a…

Making the numbers trustworthy

1 lesson

Lesson 5: Data Quality, Governance, and Common Pitfalls

18 min
This lesson shows how to make marketing data trustworthy before using it to make decisions. You will learn how bad tracking, inconsistent definitions, missing context, and weak governance create misle…

Interpreting what happened

1 lesson

Lesson 6: Descriptive Analytics: Reading Performance Reports

20 min
In this lesson, you will learn how to read marketing performance reports with confidence and turn raw numbers into a clear picture of what happened. We focus on descriptive analytics : what changed, w…

Finding patterns in customer behaviour

1 lesson

Lesson 7: Segmentation and Audience Analysis

20 min
This lesson shows how to use segmentation and audience analysis to find meaningful patterns in customer behaviour. You will learn how to group customers by what they do, who they are, and how they res…

Understanding conversion flow

1 lesson

Lesson 8: Funnel Metrics and Journey Analysis

20 min
This lesson explains how to read the conversion funnel as a sequence of measurable steps, from first visit or ad click through to purchase, signup, or another key outcome. You will learn how to define…

Comparing marketing channels

1 lesson

Lesson 9: Channel Performance Across Search, Social, Email, and Web

22 min
This lesson shows how to compare performance across search, social, email, and web without getting misled by channel-specific metrics. You’ll learn which KPIs matter for each channel, how to line up a…

Measuring long-term impact

1 lesson

Lesson 10: Cohorts, Retention, and Customer Value

22 min
This lesson explains how to measure long-term customer impact using cohorts, retention, and customer value. You will learn how to group customers by acquisition timing or behavior, track how many retu…

Using experiments to improve decisions

1 lesson

Lesson 11: Testing and Experimentation Basics

20 min
Testing and experimentation help marketers separate real improvement from guesswork. In this lesson, you’ll learn how to use simple experiments to answer business questions such as whether a new subje…

Assigning credit carefully

1 lesson

Lesson 12: Attribution Models and Their Limits

22 min
This lesson explains how attribution models assign marketing credit across channels and touchpoints, and why no single model tells the full truth. You will compare common models such as first-touch, l…

Turning analysis into communication

1 lesson

Lesson 13: Dashboards and Reporting for Stakeholders

18 min
This lesson shows how to turn marketing analysis into dashboards and reports that stakeholders can actually use. You will learn how to choose the right metrics, organize information by audience, desig…

Using data to guide investment

1 lesson

Lesson 14: Forecasting and Budget Planning

20 min
This lesson shows how to turn campaign results into a practical budget plan. You will learn how to use historical performance, simple forecasting methods, and scenario planning to estimate future resu…

Improving live marketing activity

1 lesson

Lesson 15: Applying Insights to Campaign Optimisation

20 min
This lesson shows how to turn marketing analytics into practical campaign optimisation . You will learn how to read performance signals, identify what is actually causing results, and decide which cha…

Creating a repeatable process

1 lesson

Lesson 16: Building a Practical Marketing Analytics Workflow

18 min
This lesson shows how to turn marketing analytics into a repeatable workflow that teams can actually use week after week. Instead of treating reporting as a one-time task, you will learn how to define…
About Your Instructor
Professor Christina Ross

Professor Christina Ross

Professor Christina Ross guides this AI-built Virversity course with a clear, practical teaching style.