- Data Quality: Poor data quality can lead to inaccurate predictions and ineffective campaigns. - Complexity: Building and maintaining predictive models requires specialized skills and resources. - Privacy Concerns: Collecting and using customer data must be done in compliance with privacy regulations to avoid legal issues. - Integration: Ensuring that the predictive model integrates seamlessly with existing marketing platforms can be complex.