Some common challenges in model evaluation include:
Data Quality: Inaccurate or incomplete data can lead to incorrect conclusions. Ensuring data integrity is crucial for reliable evaluation. Attribution: Determining which email or touchpoint led to a conversion can be complex, especially in multi-channel marketing environments. Changing Metrics: As your business evolves, the metrics that matter most may change. Staying adaptable and updating your evaluation criteria is essential.