Coursera

Marketing Data and Performance Measurement

Coursera

Marketing Data and Performance Measurement

Access provided by Saudi Aramco Technical Services Professional Academy

Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

8 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

8 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Validate live marketing data and monitor campaign performance.

  • Analyze conversion funnels and audience behavior patterns.

  • Build dashboards and visualizations for marketing reporting.

  • Evaluate marketing ROI using attribution and analytics models.

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

19 assignments¹

AI Graded see disclaimer
Taught in English
Recently updated!

June 2026

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This course is part of the Product Marketing Manager with AI Professional Certificate Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
  • 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 from Coursera

There are 9 modules in this course

Learners will master the foundational skill of dividing website traffic into meaningful audience segments by analyzing demographic, behavioral, and traffic source data in Google Analytics to identify profile misalignments between actual visitors and target customer profiles that waste marketing budget.

What's included

2 videos1 reading1 assignment

Learners will master the essential skill of validating real-time marketing data quality by calculating variance against historical baselines and analyzing cross-metric patterns in Google Analytics to detect tracking failures, bot traffic, and referral spam before making costly budget allocation decisions based on flawed analytics.

What's included

3 videos1 reading3 assignments

Learners will master visual project management fundamentals by creating structured campaign workflows with clear timelines, task assignments, and stakeholder collaboration.

What's included

2 videos2 readings2 assignments

Learners will master sprint retrospective techniques to systematically analyze campaign performance, extract actionable insights, and implement process improvements for future marketing initiatives.

What's included

2 videos1 reading3 assignments

Learners will master the systematic process of using Google Analytics model comparison tools to analyze user behavior patterns and align marketing campaigns with specific market demand phases for optimal targeting and performance.

What's included

3 videos3 readings2 assignments

Learners will master comprehensive attribution frameworks to evaluate true campaign effectiveness across multiple channels, quantify cross-channel impact beyond simple last-click analysis, and develop data-driven budget reallocation strategies.

What's included

1 video2 readings4 assignments

Learners will master essential spreadsheet techniques to transform raw marketing campaign data into organized, analyzable formats using pivot tables and performance metrics calculations.

What's included

3 videos1 reading1 assignment

Learners will master the interpretation of time-series marketing data through line chart analysis, distinguishing between meaningful business signals and random fluctuations to inform strategic marketing decisions.

What's included

3 videos1 reading2 assignments

his module focuses on building a complete Marketing Performance Portfolio that simulates real-world responsibilities of a marketing analyst in a direct-to-consumer (DTC) company. Learners work with marketing data to validate its accuracy, analyze conversion behavior through funnel exploration, design an executive-level KPI dashboard, and make a data-driven recommendation for budget allocation. The module emphasizes four core skills: data verification, funnel analysis, dashboard design for executive decision-making, and ROI justification using attribution models. By the end of the project, learners produce a polished slide deck that communicates performance insights clearly to non-technical stakeholders and supports strategic marketing decisions with evidence-based reasoning.

What's included

3 readings1 assignment

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Instructor

Professionals from the Industry
487 Courses112,316 learners

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¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.