article thumbnail

Guide to Interpreting Call Center Analytics

Fonolo

Correctly interpreting call center analytics and KPIs is key to improving your operations and your customer’s experience. Today, contact centers are increasingly viewed by businesses as the key to understanding customers. Analytics are also called key performance indicators or KPIs. Every contact center uses them.

article thumbnail

8 Insightful Customer Journey Analytics Examples and Use Cases

Pointillist

Over the past few years, CX leaders have adopted customer journey analytics to connect the dots between customer behavior and the KPIs by which businesses are measured. Leveraging these solutions enables you to aggregate, analyze and act on customer journey data to improve customer experiences and achieve business outcomes.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Call Center Metrics: Examples, Tips & Best Practices

Callminer

. ” Erlang C is a standard formula for determining the number of call center agents are needed based on call volumes, Average Handle Time (AHT), and customer service goals. Measure transfer rates to help reduce call complexity and customer effort. Deploy reliable analytics software with real-time access.

article thumbnail

Understanding your customer effort score (and how to improve it!)

Tethr

We talk a lot about the customer effort score (CES). Between our work in customer experience, the research that went into The Effortless Experience , and our own effort measurement score, the subject comes up, well, kind of a lot. What is your customer effort score? How can I measure effort?

article thumbnail

Understanding the role of artificial intelligence in conversation analytics

Tethr

Here at Tethr, we did the original research around effort reduction, artificial intelligence, and conversation analytics nearly ten years ago. A lot has changed since then, and the discussion around the intersection of effort and AI has evolved well beyond the wildest dreams of anyone involved in those original studies.

article thumbnail

Enjoy a Slice of Customer Data Analytics Pi (e)

CSM Magazine

You may be asking what Pi has to do with customer data analytics in contact centres? So, why don’t we think the same when it comes to analyzing customer data? For example, there is an ongoing paranoia around transcription accuracy and a distrust of insights if a transcription is not 100% accurate.

article thumbnail

7 conversation analytics features to turn you into a customer listening pro

Tethr

We’ve spent more than a decade working with medium to enterprise-level businesses across a range of industries to turn them into voice of customer (VoC) listening leaders. Now, we’ll share six of our most potent conversation analytics features to help you become a customer listening pro yourself. “To