Learn how to build predictive propensity models using Machine Learning, GA4, and BigQuery to identify high-value users and dynamically optimize your marketing strategies.
Relying purely on quantitative GA4 metrics creates a distorted view of user behavior. Learn why combining hard data with qualitative user context is essential for accurate analytics.
Explore the technical frameworks used to assign credit to marketing touchpoints. Understand the differences between Last-Click and Data-Driven models, and learn how to select the right approach.
Stop relying on superficial vanity metrics. Learn how to implement conversion tracking and attribution modeling to extract actionable, revenue-focused insights from your website data.
Understand the strategic difference between quantitative market segmentation and qualitative buyer personas, and learn how combining both approaches drives highly targeted marketing.