Which of the following can be applied to predict the likelihood of engagement,purchase conversion,and referral behaviors?

A) Propensity models.
B) Cluster analysis.
C) Filtering models.
D) Social intelligence models.
E) All of these.

Propensity models can be used to predict the likelihood of engagement, purchase conversion, and referral behaviors by analyzing patterns in customer behavior data and identifying the factors that contribute to these behaviors. Cluster analysis is a statistical method used to group similar sets of data together, but it may not specifically predict the likelihood of these behaviors. Filtering models are used to segment a larger dataset into smaller subsets based on predefined criteria, but may not specifically predict the likelihood of these behaviors. Social intelligence models may be useful for analyzing social media data to gain insights into customer behavior, but may not provide a predictive model for future customer behavior. Therefore, A) Propensity models are the best choice for predicting the likelihood of engagement, purchase conversion, and referral behaviors.