Which of the following outputs would provide an insight into customer responsiveness to specific offers?

The output that provides insight into customer responsiveness to specific offers is propensity. Propensity refers to the likelihood or probability that a customer will respond positively to a given offer based on their historical behavior, characteristics, and preferences. By analyzing propensity scores, businesses can identify which customers are most inclined to accept an offer, allowing for more targeted marketing efforts and improved decision-making in campaign strategies.

Propensity models leverage data to assess customer segments and individual behaviors, enabling organizations to tailor their messaging and offers to those most likely to respond favorably. This strategic approach helps enhance customer engagement and optimize marketing resources by focusing on high-potential candidates.

Other options, while related to customer engagement and decisioning, do not specifically measure this aspect as directly as propensity. Performance typically indicates the results of a campaign or offer after execution, while acceptance rate describes the proportion of customers who accept an offer but doesn't provide predictive insights. Evidence could refer to data supporting a decision but lacks the direct link to customer responsiveness that propensity delivers.