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Program overview

Web Experimentation Core (Strategist) Exam Blueprint

The Web Experimentation Core (Strategist) exam has 30 multiple-choice questions, one scenario and one rationale question. You have 75 minutes and need 70% overall to pass. It covers 5 domains: Web Experimentation Fundamentals, Audience Targeting and Personalization, Experiment Analytics and Results Interpretation, Advanced Experimentation Techniques and Statistical Foundations and Data Analysis. You need Optimizely Foundations first. Certifications are valid for about one year.

This exam is for
Strategist
Designs experience strategy, experimentation roadmap, and optimization frameworks

You decide what to do and why — choosing the right product or feature for a business goal, planning experimentation and optimization roadmaps, and articulating cross-product value to stakeholders. This exam confirms strategic judgment rather than hands-on execution: knowing when and why to use a capability, not how to click through it.

Typical rolesDigital StrategistsCustomer Success ManagersEngagement LeadsPlatform ConsultantsPartner Success
Question types & scoring
MCQScenarioRationale
Count3011
Min pass≥70%≥65%≥65%
70% overall to pass · 32 items total
Domains
5
weighted areas
Time limit
75 min
 
Attempts
3
per quarter
Retake
2 days
cooldown if not passed

Web Experimentation Fundamentals

25% weight~8 questions
Topics covered:A B TestingMultivariate TestingVisual EditorExperiment CreationExperimentationExperiment Types Comparison

Audience Targeting and Personalization

20% weight~6 questions
Topics covered:Audience TargetingUser ContextVisitor GroupsReal Time SegmentsContent PersonalizationBehavioral TargetingGeo TargetingCustom Attributes

Experiment Analytics and Results Interpretation

25% weight~8 questions
Topics covered:Experiment AnalyticsStatistical AnalysisConfidence IntervalsResults InterpretationData VisualizationGoal ConfigurationEvent TrackingAnalytics IntegrationConversion TrackingRevenue Metrics

Advanced Experimentation Techniques

20% weight~6 questions
Topics covered:CmabMachine LearningForced DecisionsMutual Exclusion GroupsExperiment PrioritizationTraffic AllocationResults DocumentationProgram Management

Statistical Foundations and Data Analysis

10% weight~3 questions
Topics covered:Stats EngineStatistical AnalysisHypothesis TestingConfidence IntervalsFunnel Analysis