Which of the following describes a predictive campaign best?

Prepare for the Genesys Cloud CX Outbound Exam with engaging quizzes, featuring multiple-choice questions and detailed explanations. Boost your confidence and pass your exam with ease!

A predictive campaign is best described as one that uses historical data and algorithms to anticipate agent availability and consumer response, enabling organizations to optimize the dialing process and improve efficiency. This involves analyzing trends in agent performance and customer behavior to forecast when an agent will be likely to be available to handle an incoming call or when a customer is most likely to answer a call.

By focusing on predicting when both agents and customers are available, such campaigns maximize contact rates and enhance the overall productivity of the outbound calling efforts. This predictive approach leads to higher success rates in connecting with customers while minimizing wasted time and resources.

Other options, while they may relate to outbound calling campaigns broadly, do not capture the essence of what makes a predictive campaign distinct and effective. Randomly dialing numbers does not incorporate predictive insights, and multiple agent assignments or a focus solely on telemarketing activities may not involve the predictive analytics that define the nature of a predictive campaign.

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