In B2C marketing, the ability to extract meaningful insights from data is often hindered by bias, scarcity, and inconsistency. Kyle explores how synthetic data modeling, powered by Generative AI, is transforming the way marketers enhance datasets, improve predictive accuracy, and drive better decision-making. He breaks down key techniques for generating realistic synthetic data, mitigating bias, and automating feature selection to create more robust marketing models. All of this with a step-by-step case study for an online retailer.

Walk away equipped with:

• Best practices for generating and validating high-quality synthetic marketing data
• Techniques to reduce bias and fill data gaps for more accurate customer insights
• A clear framework for integrating synthetic data into predictive modeling and AI-driven marketing strategies