This podcast episode critically examines the skepticism surrounding platform-specific Marketing Mix Modeling (MMM) tools, emphasizing the inherent conflicts of interest and biases associated with platforms assessing their own performance. It highlights the privacy implications stemming from recent changes in data regulations and the challenges of transparency in user data handling. Furthermore, the episode discusses the strategic entry of Amazon and Google into the MMM space, pointing out the benefits for brands while simultaneously voicing concerns about the possible bias and privacy issues associated with these tools.