Reducing Call Center Agent Churn with Predictive Analytics

Reducing Call Center Churn

Do you have a call center and want to keep your best employees from leaving?  Want to know what traits of an employee make them most likely to leave?  Apply call center predictive analytics to your employee data to determine why your employees are leaving.  Hiring the wrong employee waste time and money.  Focus on hiring the best candidates based on your historical employee data.

Save money by reducing turnover and training cost on call center agents.  Leverage contact center predictive analytics to reduce call center churn.

Organizations that have many employees that are in high turnover positions such as call centers, sales teams, or temporary agencies. All of these roles could benefit from building models to determine why employees are leaving.

Predicting employee churn using data mining and analytics can help to reduce and retain top talent. The impact of churn can be in both time and money. Time to train new hires and get them up to speed on your systems and processes. Monetary cost associated with posting for new roles, paying 3rd party agencies, paying overtime to the remaining staff and investing in employees only to have them leave within six months to a year.

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