Promotion Analysis and A.I.
This workshop delves into promotion analysis, combining traditional methods with AI-driven techniques to uncover deeper insights. Participants explore classic promotional tools, key metrics, and challenges such as isolating promotional impact amid seasonality and trends. They also learn how AI solutions—including causal machine learning and PCA-based segmentation—can enhance analysis and client comparisons. The session concludes with an overview of essential tools like Python and Scikit-learn, empowering attendees to integrate AI into their promotional strategies.
By the end of this workshop, participants will:
Understand the limitations of traditional methods of analyzing promotions and key metrics, such as promotional lift, incremental sales, and ROI
Discover how to isolate the true impact of promotions using AI-based techniques such as causal machine learning and time-series regression
Explore advanced segmentation methods, such as principal component analysis (PCA), to better understand customer subgroup reactions to promotions
Gain insight into tools like Python and Scikit-learn to integrate AI into promotion analysis workflows
Develop actionable strategies to optimize the effectiveness of promotions through advanced analytics