May 01, 2021

Certification: Facebook Certified Marketing Science Professional

  • Facebook Blueprint
  • Remote (Online)
Licensure / Certification Digital Marketing Marketing, Advertising & Public Relations

Job / Advertisement Description

Professional-level exam about using data, insights and measurement to make informed marketing recommendations. 

The ideal candidates for this certification have approximately 3 years of career experience with consulting on measurement strategies and executing research, as well as statistics knowledge and data manipulation skills.

Applicable Roles:

  • Media Analyst
  • Data Scientist
  • Quantitative Researcher
  • Measurement Partner
  • Measurement FMP Analyst
  • Consultant (technical)

Certification Exam Content Outline

Before attempting to become a Facebook Blueprint certified professional, we recommend you practice the following skills.

 Assess (24%)

  • Reconcile business goals with KPIs and analysis plans
  • Apply concepts required to inventory and monitor existing data sources
  • Evaluate differences in measurement methodology across channels
  • Communicate assumptions based on situation assessment
  • Validate data quality

Hypothesize (18%)

  • Determine a variable for testing
  • Determine a measurement approach
  • Apply concepts required to formulate a hypothesis to be proven or disproven
  • Determine actions based on hypothesis validation/invalidation

Recommend Measurement Solutions (15%)

  • Make decisions required to design a test addressing the hypothesis
  • Recommend an appropriate Facebook or partner measurement solution
  • Determine feasibility to move forward with a measurement solution

Perform an Analysis (16%)

  • Interpret statistical outputs
  • Analyze data using statistical methods
  • Analyze data using exploratory methods
  • Make decisions and judgments required to create data visualization methods
  • Make decisions and judgments required to write a simple script or query to extract and manipulate data

Generate Insights (14%)

  • Make decisions and judgments required to synthesize the results from statistical and data analyses
  • Apply concepts required to prove or disprove the hypothesis
  • Evaluate the success of the measurement approach

Make Data-Driven Recommendations (13%)

  • Make recommendations for future campaigns based on insights
  • Determine iterative measurement opportunities based on insights
  • Determine opportunities beyond the scope of the measurement approach

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