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Explore the challenges of tracking marketing effectiveness in a privacy-focused era through this 31-minute Data Science Festival talk by Callum Woods. Delve into the limitations of relying solely on machine learning-based attribution solutions and discover how causal learning can empower businesses to make data-driven decisions in an increasingly opaque and unpredictable landscape. Gain insights into navigating the complexities of marketing attribution amidst changing privacy legislation and recent historical events that render past data less reliable for future predictions.