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How AI analytics can improve call center performance

Callminer

This blog explores how AI analytics has improved call centers beyond its basic functions, empowering them to drill down important metrics, review conversations, and better understand customers.

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2020 Call Center Metrics: 6 Key Metrics for Your Call Center Dashboard

Callminer

At the heart of most technological optimizations implemented within a successful call center are fine-tuned metrics. Keeping tabs on the right metrics can make consistent improvement notably simpler over the long term. However, not all metrics make sense for a growing call center to monitor. Peak Hour Traffic.

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The Power of Data Analytics in Contact Centers: Driving Insights and Improving Performance

CCNG

With the advent of data analytics, these centers are not just handling customer inquiries; they are also becoming a goldmine of information that can revolutionize decision-making processes and enhance overall performance. The Impact of Data Analytics in Contact Centers: 1. Considerations When Implementing Data Analytics: 1.

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Call Center Metrics Best Practices

Callminer

Obtaining useful metrics on daily operations in your call center can help to improve many aspects of your business. However, there is quite a bit more to making effective use of call center metrics than merely amassing data and generating reports. The Importance of Metrics in Call Center Operations. Choosing Appropriate Metrics.

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The Health of the Contact Center: Are You Ready for 2019?

A survey of 1,000 contact center professionals reveals what it takes to improve agent well-being in a customer-centric era. This report is a must-read for contact center leaders preparing to engage agents and improve customer experience in 2019.

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How to Use Data Analytics to Improve E-Commerce Conversion Rates

OctopusTech

Using data analytics allows you to identify trends and opportunities that enhance conversion rates, converting more visitors into paying customers. Exploring E-Commerce Conversion Rates Conversion rates are the most important metrics of any organization from a sales perspective.

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Transitioning off Amazon Lookout for Metrics 

AWS Machine Learning

Amazon Lookout for Metrics is a fully managed service that uses machine learning (ML) to detect anomalies in virtually any time-series business or operational metrics—such as revenue performance, purchase transactions, and customer acquisition and retention rates—with no ML experience required.

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Study: The Health of the Contact Center

What does it take to engage agents in this customer-centric era? Download our study of 1,000 contact center agents in the US and UK to find out what major challenges are facing contact center agents today – and what your company can do about it.

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Executive Report: The Customer Data Too Often Overlooked by the C-Suite

A recent Calabrio research study of more than 1,000 C-Suite executives has revealed leaders are missing a key data stream – voice of the customer data. Download the report to learn how executives can find and use VoC data to make more informed business decisions.

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Google Analytics 4: The Ultimate Call Center Guide for a Stress-free Transition

Google Analytics has been a core tool for marketers for many years. And, not too much has changed–until Google Analytics 4 (GA4). In our eBook, Google Analytics 4: The Ultimate Guide , we’ll empathize over the frustrations of the new platform, then arm you with the tools you need to transform roadblocks into opportunities and success.

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The Challenges of Omnichannel: Why so Many Contact Centers Struggle with Digital Self-Service

To find how contact centers are navigating the transition to omnichannel customer service, Calabrio surveyed more than 1,000 marketing and customer experience leaders in the U.S. about their digital customer communication strategies. Read the report to find out what was uncovered.