5 examples of AI in the contact center
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The Team at CallMiner
September 13, 2017
Definition of Call Center Statistics
Call center statistics are data gathered about enterprise call centers that empirically illustrate both the internal and external relationships these centers have within the business environment in which they operate. They cover a variety of other areas including technological change, changes in consumer attitudes, and competitive considerations.
This takes a number of different forms and results in a diverse range of situational observations. The most obvious statistics hit on structural realities, such as the fact that nearly 3 in 4 businesses were already expanding their use of virtual agents in their call center teams throughout 2015. However, this is just the beginning. Taken in tandem, this compilation traces the contours of an ever changing, yet vital, landscape and seeks to impose clarity on an area where inefficiencies are all too often – and incorrectly – passively accepted as inevitable.
Examples of Call Center Statistics
Of course, no two organizations are alike. What may be a vital piece of information for one may be obscure if not meaningless to another, just as management best practices will vary from call center to call center. However, the compilation below is intended to be as universal as is feasible. There is a sampling of facts and figures from the key areas mentioned above: structural, technology, consumer attitudes, and competition.
Structural
Technology
Consumer Attitudes
Competition
Benefits of Call Center Statistics
Call Center Statistics are a window into the current trends, best practices, and ongoing realities modern day call centers face on a daily basis. They are a compass for both upper and lower management to better understand the role these centers are playing, as well as the impact they are or might have, on ROI.
Beyond their meaning in isolation, paying attention to year over year fluctuations in call center statistics provides companies with valuable business intelligence. They allow for a proper evaluation of macro-level trends, leading to more informed decision making about strategic approach, resource allocation, and the elimination of inefficiencies.
What are Call Center Metrics?
As demonstrated above, call center statistics are an important tool providing valuable macro-trend insight to management. However, this just scratches the surface. Call centers pose a different set of challenges and realities for any given business. While the broader trends are useful, they should in no way be considered monolithic. An internal measurement and auditing of vital metrics is necessary in all cases.
These internal observations complement the broader scope and utility of call center statistics. When used together properly, they allow internal trends and processes to be monitored or even benchmarked against ongoing macro-level trends to ensure maximum efficiency and effectiveness at any given time.
CallMiner is the global leader in conversation analytics to drive business performance improvement. Powered by artificial intelligence and machine learning, CallMiner delivers the industry’s most comprehensive platform to analyze omnichannel customer interactions at scale, allowing organizations to interpret sentiment and identify patterns to reveal deep understanding from every conversation. By connecting the dots between insights and action, CallMiner enables companies to identify areas of opportunity to drive business improvement, growth and transformational change more effectively than ever before. CallMiner is trusted by the world’s leading organizations across retail, financial services, healthcare and insurance, travel and hospitality, and more.