In preparation for the 200-101 Facebook Certified Marketing Science Professional exam, you can enroll in any of our curated courses and lessons, in any order.
They are organized by the the same sections you'll find in the exam outline (e.g. Assess). You can also start and stop the courses and lessons at anytime, so come back when you're ready to learn more and pick up right where you left off.
If you prefer more guidance on where to get started, you can also take our free online 30-question practice test. After you complete the practice test, you'll immediately receive a report with eLearning recommendations based on the questions you answered incorrectly. It will also give you a chance to experience the types of questions that are on the certification exam.
If you're ready to take the practice test or take the exam, you can go back to the main certification page.
200-101 Facebook Blueprint Certified Marketing Science Professional
Assess
Learn about the important first step of conducting a proper assessment of your business goals, proposed KPIs and data sources that are in place for proper measurement. You’ll also explore how experimental and observational methods can help measure ad effectiveness.
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Define a Measurable Business Goal
The best-defined goals follow a basic rubric: they are specific, measurable, achievable, relevant and time-bound. In this course, we explore best practices in setting business goals.
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Align KPIs with Business Goals
A KPI is more than a metric— it tells a story about what is happening in a business at the time of measurement. In this course, we explore how to identify a relevant KPI to align with a business goal and how to identify primary and secondary KPIs.
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Evaluate Data Sources
Quality data is important to the success and measurement of your campaigns. In this course, learn how to optimize for high-quality data and determine which data sources to use given a KPI.
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Conduct Experiments to Measure Ad Effectiveness
Learn how to conduct an experiment to determine the effectiveness of your ads.
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Evaluate Advertising Effectiveness with Observational Methods
In this course, you'll learn about common types of observational studies, their uses and limitations.
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Additional Resources
Hypothesize
Explore how you can create a strong hypothesis for testing. This includes choosing the variable(s) to test and the appropriate measurement solution.
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Develop a Hypothesis to Test
A well-structured hypothesis can provide strategists with valuable and actionable insights, whether it is proved or disproved. In this course, we explore how to compose a strong hypothesis and how to identify variables and a test hypothesis. We also lo...
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A Cross-Channel Measurement Approach
The attention advertisers want from audiences is increasingly fragmented across devices, browsers and channels. Advertisers often use a combination of channels to reach audiences, but in today's landscape, it is necessary to develop a cross-channel mea...
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Additional Resources
Recommend Measurement Solutions
Learn about the measurement solutions that are available and most appropriate for your business, based on the business goal and KPI(s) that need to be measured.
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Optimize Campaigns with A/B Testing
A/B testing with Facebook helps you optimize ad campaigns by comparing tactical approaches to variables. In this course, we explore how A/B tests work, when to use an A/B test and how to identify actionable results from a test.
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Brand Lift
This course teaches advertisers how to use Facebook's Brand Lift solution to measure the impact of Facebook ads on brand equity.
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Conversion Lift
This course teaches advertisers how Conversion Lift can help them understand the incremental conversions caused by their Facebook ads. They will also learn how to explain the methodology of Conversion Lift, identify test outputs and interpret test resu...
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Design Effective Tests
In this course, you'll learn how to design a test that can effectively answer your business questions.
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Evaluate and Optimize Your Advertising with Facebook Attribution
In this course, you'll learn how Facebook Attribution works and how you can use it to evaluate and improve your advertising.
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Evaluate Your Marketing Strategy with Marketing Mix Models
In this course, you'll learn how marketing mix models work and how you can use them to evaluate and improve your marketing strategy.
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Additional Resources
Perform an Analysis
Understand how to synthesize the results from across multiple platforms and tools. This includes spotting trends, as well as conflicts, across test results and campaign data.
Generate Insights
Explore the available resources that can help contextualize the insights you derived from your data analysis.
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Make the Most of Marketing Insights
An insight on its own only contains potential value; it doesn't drive marketing strategies as successfully as when it is combined with additional research. In this course, we review sources that can support the creation of a holistic story to inform st...
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Additional Resources
Make Data-Driven Recommendations
Learn how to make appropriate recommendations to media buyers and planners, as well as additional measurement opportunities available to continue on your journey of iterative testing.
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Facebook Ad Delivery System
This course is for advertisers who want to learn more about the Facebook ad auction, advertiser controls, pacing and their impact on delivery.
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Deliver Actionable Media Recommendations
In order to compel action on behalf of media buyers and planners, it is necessary to make credible, actionable recommendations. In this lesson, we explore a series of case examples to observe how insights lead to data-driven recommendations.
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Measurement Opportunities
When you’ve finished running an experiment, it’s important to keep testing and learning. In this course, you’ll learn how and when to retest a hypothesis and test a new hypothesis.
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Additional Resources