“Your call is important to us” has become a common line in the world of call centers and contact centers. But how long are your customers willing to wait for a response from your customer service agent? We can predict the sentiment with the key performance indicator, known as Average Wait Time (AWT).
CSAT score or CSAT is a customer satisfaction score. This metric is typically measured by surveying customers at various points in their buying journey. CSAT scores can be measured after a purchase, whilst onboarding for a new service, or after an interaction with customer support. The score itself is vitally important to organizations. CSAT helps businesses determine in which areas they are excelling and which they could improve to ensure their customers are satisfied with their experience.
We are midway through 2022. Contact center trends that were forecasted at the beginning of the year have had sticking power and we have seen a common theme emerge as the months have passed. The theme: Strategic organizations are centralizing their operations around consistency.
Customers care about their interactions with your business more than ever before. By unearthing the customer data insights your business call center is already collecting, businesses can better meet customers’ expectations, and improve their overall customer experience. Call center analytics makes it easy to understand your customers.
In a call center, few things are as mission-critical as having adequate information. Being able to understand how each individual, team, product, and channel is performing together at any given point in time helps with agile decision-making and building positive customer experiences. The best way to get the information you need? Call center analytics.
Call centers and contact centers are fast-paced environments with a variety of tasks, processes, and team members. However, due to these fast-paced environments, things can also easily fall apart quickly. High call volumes, long queue times, over or understaffing issues, and customer escalations are just a few examples of how a perfectly regular day in a contact center can turn ugly. Call center management is a complex skill to master, but fortunately, with the right tools, strategies, and mindset, the skill becomes more achievable.
If you have ever read any of our other blogs (which we highly recommend) you might notice that we use the terms call center and contact center interchangeably. We do this because we provide software that can benefit both call centers and contact centers but there is actually a difference in business application.
When you think of common analytics tools, what first springs to mind? Perhaps, Google Analytics? Good guess. It is a super popular tool. In fact, 29 million sites on the internet use Google Analytics. But, Google Analytics is not an analytics tool but actually a reporting tool. Now you may be thinking…. Is there a difference between reporting and analytics? The answer is YES!
In the world of business intelligence, “data” and “analytics” are often terms used when discussing tools your business should or could be using more efficiently. But it gets confusing really quickly when you start looking into how to actually use and analyze data. Things quickly become about programming languages, machine learning, and artificial intelligence. Or you click one too many times and you get into the weeds of advanced statistical analysis and regression models or predictive modeling.
We have all been there. You finally get a few minutes to make the call you have been putting off all week. You dial in and get put on hold. After waiting for what feels like an eternity you give up and hang up the phone, abandoning your call. A company’s call center abandonment rate is one of the most important key metrics to monitor and also one of the simplest to improve with the right modifications to your procedures.