The web analytics team at a content publishing platform is using Crazy Egg to optimize their article layouts. They have identified several actions to effectively interpret heatmap data, despite the complexities involved:
- Action A: Focus exclusively on the hottest areas of the heatmap to determine content placement.
- Action B: Combine heatmap analysis with user feedback for a holistic understanding of user experience.
- Action C: Segment heatmap data by user demographics to tailor content more effectively.
- Action D: Rely solely on scroll depth data to assess article engagement.
Given the goal of enhancing article layout based on user interactions, which combination of actions should the web analytics team prioritize to navigate the challenges of interpreting heatmap data effectively?