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May 18, 2020
Hearing directly from agents related to their working conditions, scheduling, and company policies provides invaluable insights, that data collection alone will not. This blog highlights some of AnswerOn’s generational-focused research findings, which centered around comparing two age groups: 18-28 year-olds and agents 29 or older. Read More
Mar 13, 2020
High levels of employee churn have been standard in the financial services industry for years. Recently, those already high levels are on the rise. Why are employees leaving their roles at increasing rates? Here is an overview of what attrition looks like in the financial services industry and what companies can do to curb it. Read More
Jan 17, 2020
Employee attrition rates tend to soar in January. Why are workers more likely to leave at the beginning of the year? We identify some of the common reasons that cause employees to resign and look at some measures to help reduce rates of attrition. Read More
Dec 09, 2019
For decades, the practice of driving revenue has been through bringing in new business – and new customers. If you solely focus and succeed in acquisitions, you won’t account for customers leaving you. Not only does subscriber churn affect your net business, it also carries other hidden costs. Read More
Oct 25, 2019
It’s no secret that high rates of employee turnover result in financial losses for a company. Where does the money go? Every step of the employment process has hidden expenses, even steps like listing a job or hiring someone. However, in call centers, one cost stands out from the rest: training and onboarding new employees. Read More
Sep 24, 2019
Managers and executives know that call centers can be costly parts of business. Yet, many common call center practices thought to help reduce costs cause problems themselves. If your company wants to reduce costs funneling into contact centers, consider these two techniques and their pros and cons. Read More
Jul 09, 2019
Often used interchangeably, data modeling and data analytics evaluate separate components of data. Data modeling requires setting parameters on data to better understand it.On the other hand, data analysis considers the data itself, allowing you to make informed business decisions. Here are some distinguishing qualities between modeling and analytics. Read More
Jun 07, 2019
Here are several common reasons that agents leave after the onboarding process, and how AnswerOn’s solution can help call centers know which agents are at-risk and, most importantly, the proactive action that can prevent them from leaving. Read More
May 03, 2019
With today’s technological capabilities, we have access to numerous sources of qualitative and quantitative data. However, an exhaustive amount of raw data fails to reveal patterns that describe churn rates. Moving from raw data to predictable data requires a data mining process. Read More