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⇱ Market Intelligence and Performance Analytics | Coursera


Market Intelligence and Performance Analytics

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

Recommended experience

2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

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

Recommended experience

2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Design and conduct comprehensive market research studies.

  • Create executive-level marketing performance dashboards and perform advanced data analysis using industry-standard tools.

  • Develop data-driven marketing strategies.

  • Utilize AI to enhance analytical workflows and present complex insights to leadership.

Details to know

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Recently updated!

April 2026

Assessments

36 assignments¹

AI Graded see disclaimer
Taught in English

Build your subject-matter expertise

This course is part of the AI-Driven Brand Management: Learnings from FANG and FMCG Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • 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 13 modules in this course

This course builds the analytical capabilities needed to measure, interpret, and optimize marketing performance. You'll gain proficiency with essential tools, including Google Analytics 4, Excel pivot tables, Tableau, Power BI, Looker Studio, and BigQuery for data pipeline automation. By the end of this course, you'll be able to design research studies, build executive dashboards, perform regression analysis for attribution, and lead data-driven KPI reviews. These skills prepare you for marketing analyst, business intelligence, and performance marketing roles where data-informed decision-making drives competitive advantage.

Who this is for: Marketing professionals, analysts, business strategists, and emerging leaders looking to leverage data for strategic decision-making. Basic spreadsheet skills are helpful but not required.

This module is for marketers, product managers, and entrepreneurs who need data-driven insights without a big research budget. Learn to design and launch effective surveys that deliver clear, actionable feedback in hours. You will master the distinction between qualitative and quantitative research, learning how leaders like Netflix use surveys to inform decision-making. Step by step, you will construct a well-designed survey, crafting clear questions to capture crucial data for market segmentation. By the end, you will confidently go from a business question to a live survey, gathering targeted market intelligence on demand.

What's included

2 videos2 readings2 assignments

2 videosTotal 13 minutes
  • Why Netflix Doesn't Guess7 minutes
  • Google Forms: A Practical Walkthrough6 minutes
2 readingsTotal 18 minutes
  • The Two Sides of Insight: Qualitative vs. Quantitative8 minutes
  • The Question-Crafter's Toolbox10 minutes
2 assignmentsTotal 45 minutes
  • Customer Demographics Survey Kit30 minutes
  • Hands-On Learning: Refining and Justifying a Survey15 minutes

This intermediate module is for marketers, sales coordinators, and analysts needing to analyze, not just view, raw data. The ability to summarize large datasets is critical, and this module demystifies one of Excel’s most powerful tools: the Pivot Table. You will learn to define "correlation" and then, in a hands-on workflow, take a standard sales CSV file and build a pivot table from scratch to summarize performance by region. You will gain the confidence to transform overwhelming data into a clear, actionable sales report for leadership and to understand what the numbers truly suggest.

What's included

2 videos1 reading3 assignments

2 videosTotal 9 minutes
  • How Pivot Tables Fast-Track Your Data5 minutes
  • From CSV to Pivot Table in Minutes4 minutes
1 readingTotal 6 minutes
  • Spotting Trends: An Introduction to Correlation6 minutes
3 assignmentsTotal 55 minutes
  • Regional Sales Report Project30 minutes
  • Knowledge Check: Data Analysis Kickstart10 minutes
  • Hands-On Learning: Defining Correlation15 minutes

This intermediate module is for marketers and analysts looking to master traffic analysis in Google Analytics 4. Knowing where your audience comes from is essential for smart marketing. This module demystifies GA4 by focusing on core metrics. You will learn to differentiate between a "user" and a "session," navigate the interface to identify your top traffic channels, and interpret data through real-world examples from companies like HubSpot. By the end, you'll be able to produce a clear, concise traffic report and explain its implications, enabling you to deliver actionable insights and make smarter marketing decisions.

What's included

3 videos1 reading3 assignments

3 videosTotal 12 minutes
  • How Top Companies Use Traffic Analysis4 minutes
  • A Guided Tour of the GA4 Interface4 minutes
  • Finding Your Top Traffic Channels in GA44 minutes
1 readingTotal 10 minutes
  • The Core of GA4: Understanding Users vs. Sessions10 minutes
3 assignmentsTotal 35 minutes
  • Mini Traffic Report15 minutes
  • Hands-On Learning: Navigating the Traffic Acquisition Report15 minutes
  • Knowledge Check: Users, Sessions, and Channels5 minutes

This intermediate module is for aspiring brand managers and marketers who need to translate data into a clear story of brand health. Success is about knowing which numbers matter and what they're telling you. This module provides a practical guide to KPI tracking, helping you develop a repeatable system for monitoring performance. You will learn to define and identify critical brand KPIs—from Share of Voice to website sessions—and pull this data from platforms like Google Analytics 4 and social media dashboards. Through hands-on practice, you will build the skill of updating a weekly KPI tracker, ensuring you can deliver accurate reports.

What's included

2 videos2 readings3 assignments

2 videosTotal 14 minutes
  • Why Consistent Tracking Matters: The Netflix Story7 minutes
  • A Guided Tour of Your Data Sources7 minutes
2 readingsTotal 13 minutes
  • The Brand Manager's KPI Glossary7 minutes
  • The Weekly Rhythm: Your Step-by-Step Tracking Process6 minutes
3 assignmentsTotal 25 minutes
  • Prepare the Monday Meeting KPI Report10 minutes
  • Hands-On Learning: Update the Weekly KPI Tracker10 minutes
  • Knowledge Check: KPI and Dashboard5 minutes

This intermediate module is for marketers and analysts looking to turn spreadsheets into compelling data stories. In a data-driven world, visualizing business metrics is crucial for communicating insights and influencing strategy. This module provides a hands-on introduction to Business Intelligence (BI) using Google Looker Studio. You will learn to connect a raw data source to the platform and build your first insightful visualization: a bar chart to track monthly brand search volume. You will not only build the report but also learn how to interpret the trends you uncover, turning raw numbers into an actionable story.

What's included

2 videos1 reading3 assignments

2 videosTotal 11 minutes
  • How Spotify Sees the Music5 minutes
  • From CSV to Chart in Looker Studio6 minutes
1 readingTotal 15 minutes
  • What is Business Intelligence (BI)?15 minutes
3 assignmentsTotal 35 minutes
  • Business Intelligence Report15 minutes
  • Hands-On Learning: Connect Your Data Source15 minutes
  • Knowledge Check: BI Fundamentals5 minutes

This intermediate module is for marketing and product professionals who want to master the end-to-end market research process. You will learn to design and execute a professional survey in SurveyMonkey, just as companies like LEGO and Airbnb do to inform strategic pivots. The module then guides you through one of the most critical research skills: synthesis. You will learn to combine primary survey data with secondary industry reports to build a robust narrative, culminating in a compelling insights deck that recommends specific, actionable product tweaks. You’ll leave with a repeatable framework for turning business uncertainty into data-driven action.

What's included

4 videos2 readings3 assignments

4 videosTotal 22 minutes
  • How Airbnb Designed for Trust6 minutes
  • A Guided Tour of SurveyMonkey5 minutes
  • How Netflix Connects the Dots6 minutes
  • Building Your 10-Slide Insights Deck6 minutes
2 readingsTotal 20 minutes
  • The Anatomy of a Great Survey Question10 minutes
  • The Art of Synthesis: Combining Primary and Secondary Data10 minutes
3 assignmentsTotal 50 minutes
  • Market Insights30 minutes
  • Hands-On Learning: Drafting Your 15-Question Survey15 minutes
  • Knowledge Check: Survey Design Principles5 minutes

Can you prove the connection between ad spend and sales to optimize your budget? This hands-on module is for marketing professionals ready to make decisions with statistical confidence. It demystifies regression analysis, the process used by leading companies to determine true marketing ROI. You will learn to design dashboard mockups that tell a clear story, interpret complex statistical outputs, and translate your findings into a data-driven budget proposal. By the end, you'll be able to confidently recommend which channels to invest in and which to cut, transforming you from a data reporter into a strategic business advisor.

What's included

3 videos2 readings3 assignments

3 videosTotal 17 minutes
  • Anatomy of a Strategic Dashboard6 minutes
  • Building the Data-Driven Recommendation4 minutes
  • From Statistics to Strategy: Interpreting the Report7 minutes
2 readingsTotal 30 minutes
  • Decoding Regression: Finding Your Marketing ROI15 minutes
  • How to Tell a Story with Data15 minutes
3 assignmentsTotal 55 minutes
  • The Marketing Analytics Brief30 minutes
  • Hands-On Learning: Dashboard Design Blueprint15 minutes
  • Knowledge Check: Core Concepts10 minutes

This intermediate module helps marketers and analysts measure what truly matters in GA4. Go beyond surface-level metrics to track specific user actions, like video views or form submissions, and connect them directly to your marketing spend. Using Google Tag Manager and GA4, you will learn to configure, validate, and track custom events that align with your business goals. You'll translate raw event data into a powerful cost-per-event analysis and generate an insights memo with clear, data-driven recommendations for budget reallocation, empowering you to prove campaign ROI and make smarter investment decisions.

What's included

2 videos2 readings3 assignments

2 videosTotal 12 minutes
  • The True Cost of a Click6 minutes
  • Introducing Google Tag Manager (GTM)6 minutes
2 readingsTotal 20 minutes
  • Anatomy of a Custom Event10 minutes
  • Step-by-Step Guide: Configuring a Form Submission Event10 minutes
3 assignmentsTotal 65 minutes
  • Campaign Optimization Project30 minutes
  • Hands-On Learning: Configuring and Validating Your First Custom Events30 minutes
  • Knowledge Check: Events and GTM5 minutes

This intermediate module is for data analysts, marketers, and BI professionals aiming to master automated data workflows. If you're ready to move beyond manual report building, this module is your next step. You'll learn to architect a robust pipeline that funnels data from ads, CRM, and web analytics into BigQuery. Using SQL, you will write transformation scripts, automate data refreshes with Cloud Functions, and build a live dashboard in Looker Studio. Crucially, you'll implement data-auditing processes to ensure accuracy. By the end, you'll have built a complete, automated BI pipeline that provides reliable, timely insights stakeholders can trust.

What's included

5 videos3 readings5 assignments

5 videosTotal 28 minutes
  • The Anatomy of a Modern BI Pipeline7 minutes
  • Connecting Data Sources to BigQuery6 minutes
  • The High Cost of Stale and Inaccurate Data6 minutes
  • Refreshing Queries in BigQuery: Manual Workflow3 minutes
  • From BigQuery to Looker Studio6 minutes
3 readingsTotal 14 minutes
  • ETL vs. ELT and Essential Pipeline Concepts6 minutes
  • A Practical Guide to Data Auditing4 minutes
  • Beyond Schedulers: The Power of Event-Driven Pipelines4 minutes
5 assignmentsTotal 80 minutes
  • Build Your BI Pipeline30 minutes
  • Hands-On Learning: Create and Configure a BigQuery Dataset15 minutes
  • Knowledge Check: Pipeline Concepts10 minutes
  • Knowledge Check: Data Auditing Scenarios10 minutes
  • Hands-On Learning: Create a Simple Looker Studio Chart15 minutes

This intermediate module is for business analysts, marketers, and data professionals aiming to master predictive sales forecasting. For those already familiar with Power BI, you'll move beyond basic reports to build dynamic models that project quarterly sales based on different media spend scenarios. You'll get hands-on experience creating "what-if" parameters, designing interactive scenario slicers, and validating your model against actual results to deliver high-precision forecasts. By the end, you will have a powerful, reusable framework for making data-driven budget decisions that directly impact sales outcomes, turning you into a strategic forecasting expert.

What's included

4 videos2 readings3 assignments

4 videosTotal 24 minutes
  • The High Cost of Bad Forecasts5 minutes
  • How-To: Build Your First Forecast Model7 minutes
  • Why a Forecast is a Living Model?5 minutes
  • How-To: Refining Variables to Improve Accuracy7 minutes
2 readingsTotal 14 minutes
  • Structuring Your Data for a Powerful Forecast7 minutes
  • Measuring the Gap: How to Stress-Test Your Forecast7 minutes
3 assignmentsTotal 65 minutes
  • Full-Cycle Sales Forecast & Refinement30 minutes
  • Hands-On Learning: Assembling Your Forecast Dashboard30 minutes
  • Knowledge Check: Forecasting Fundamentals5 minutes

This intermediate module is for professionals who aim to lead impactful, data-driven performance conversations. Inspired by data-centric companies like Amazon and Netflix, you will learn to shift from reactive problem-solving to proactive decision-making. You will build a real-time KPI dashboard in a BI tool such as Tableau to give leaders instant visibility into business health. The module culminates in you leading a simulated monthly KPI review, where you'll diagnose performance gaps and present clear, actionable recommendations. You'll be equipped to transform standard meetings into high-stakes decision-making forums that drive accountability and results.

What's included

2 videos1 reading3 assignments

2 videosTotal 11 minutes
  • Inside the Amazon WBR6 minutes
  • From Data to Dashboard: Building Your First KPI Tile5 minutes
1 readingTotal 15 minutes
  • The Anatomy of a High-Impact KPI Dashboard15 minutes
3 assignmentsTotal 38 minutes
  • KPI Leadership Simulation18 minutes
  • Hands-On Learning: Designing Your Dashboard Layout15 minutes
  • Knowledge Check: KPI Concepts5 minutes

This module introduces how generative AI tools can enhance the analytical skills you've developed throughout Long Course 4. You'll explore practical applications of data interpretation, insight summarization, and presentation development while learning to verify the accuracy of AI-generated analysis.

What's included

3 readings1 assignment

3 readingsTotal 14 minutes
  • How AI Is Transforming Marketing Analytics3 minutes
  • Responsible AI Use in Analytics4 minutes
  • Using AI to Accelerate Analysis Workflows7 minutes
1 assignmentTotal 5 minutes
  • Graded Quiz: AI-Assisted Data Analysis and Insights5 minutes

This capstone project challenges you to synthesize all analytical skills from this long course into executive-ready deliverables. You'll build a comprehensive marketing performance dashboard and create an insights report that answers leadership's core question: how is marketing driving business results?

What's included

2 readings1 assignment

2 readingsTotal 20 minutes
  • Why This Project Matters10 minutes
  • Your Project Blueprint: Requirements and Evaluation10 minutes
1 assignmentTotal 180 minutes
  • Project: Marketing Performance Dashboard and Insights Report180 minutes

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Frequently asked questions

No. The course is designed for intermediate learners, providing step-by-step guidance in using analytical tools and interpreting marketing data.

You'll gain proficiency in Google Analytics 4, Excel, Tableau, Power BI, Looker Studio, and BigQuery, essential tools for modern marketing analytics.

You'll learn to leverage AI for accelerating data interpretation, generating insights, and drafting reports while maintaining critical human oversight.

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.

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.