Predictive AI in Marketing: Exam

Predictive AI in Marketing (Live Skills Test 100 Q&As): The Official SEOSiri Proficiency Exam

The era of reactive marketing is over. Elite marketers no longer just analyze what happened—they predict what will happen next. Predictive AI is the engine that turns historical data into strategic foresight, allowing businesses to anticipate customer needs, prevent churn, and optimize spending before it happens.

From building sophisticated lead scoring models to forecasting lifetime value, mastering predictive analytics separates the data-informed from the data-driven. It is the core competency for driving efficient, proactive growth in a competitive landscape.

The SEOSiri Predictive AI in Marketing Exam is the definitive benchmark of your skills. This rigorous assessment validates your ability to harness data, models, and platforms to make smarter, faster, and more profitable marketing decisions.

Why This Exam Matters: Go Beyond the Dashboard

Any marketer can read a report. A predictive expert builds a forecasting engine. This exam certifies that you have the skills to:

• Master Core Concepts: Understand the models (classification, regression) and metrics (LTV, churn) that power predictive marketing.
• Manage Data & Tools: Know the data requirements and platforms (CDPs, CRMs) needed for accurate forecasting.
• Apply Predictive Strategy: Implement lead scoring, churn prevention, and budget optimization models effectively.
• Measure & Optimize: Analyze model performance, measure ROI against control groups, and ensure continuous improvement.

How the Exam is Structured

This exam is divided into four comprehensive parts:

• Part 1 - Foundational Concepts: Tests your understanding of core models, metrics, and principles of predictive analytics.
• Part 2 - Data & Tools: Validates your knowledge of the data infrastructure and software platforms required for success.
• Part 3 - Strategy & Application: Assesses your ability to apply predictive models to solve real-world marketing challenges.
• Part 4 - Measurement & Optimization: Covers the critical skills of measuring model ROI, monitoring performance, and testing.