Using A/B Tests and Econometric Methods for Data Driven Decision Making

Training Provider: SINGAPORE MANAGEMENT UNIVERSITY
Course Reference: TGS-2023037558
S$600
Original: S$2,000
Save S$1,400

About This Course

Upon completing this course, participant is able to:•Deepen their understanding of the role human memory plays in decision-making, specifically the impact of labeling effects and semantic networks on association.•Appreciate the influence of social norms on judgments and decisions, and understand how to effectively utilize social norms in marketing strategies.•Recognize the prevalence and impact of misperceptions regarding social norms, and understand their causes and consequences.•Acquire knowledge on pre-suasion strategies and their effectiveness in shaping customer journeys.•Comprehend the methodologies employed for testing Behavioural strategies, including A/B testing (Randomized Controlled Trials) and various econometric methods.•Gain practical experience in designing and executing A/B tests, interpreting their results, and making data-driven decisions.•Understand advanced econometric designs, including natural experiments, propensity scoring, regression discontinuity, difference-in-differences, and synthetic control methods.•Work collaboratively in a group setting to apply learned concepts and methods to a real-world scenario.

What You'll Learn

In this course, participants will deepen their understanding of the role that human memory plays in decision-making. Following this, they will study the influence of social norms, specifically how the perceptions and choices of others can shape an individual's judgments and decisions.In the latter part of the course, participants will be introduced to the methodologies employed for testing Behavioural strategies. This segment provides a comprehensive understanding of A/B testing and econometric methods, underscoring their critical role in evaluating Behaviourally-informed strategies. Participants will gain hands-on experience in designing and executing these tests, interpreting the results, and making informed, data-driven decisions.

Entry Requirements

N/A

Course Details

Duration 15 hours
Language English
Training Commitment Not specified
Total Enrolled 80 students
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Note: To apply for this course, visit the SkillsFuture website or contact the training provider directly.

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