Let's walk through the 10 most important customer service metrics, explain what benchmarks to aim for, and show you how to improve them.
Discover customer service training best practices to boost skills, enhance employee training for customer service, and learn how to train customer service teams effectively.
Discover the benefits of nearshore outsourcing vs offshore and onshore outsourcing. Learn how nearshore outsourcing companies can help you scale efficiently.
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Discover how AI is revolutionizing customer experience! In our latest webinar recap, top CX experts reveal actionable insights and practical strategies for integrating AI into your support operations.
Let's compare in-house vs outsourcing customer support, explore how AI-powered solutions fit into the mix, and break down costs, scalability and quality control.
Struggling to keep customers from slipping away? It’s time to turn churn prevention into a proactive strategy. In this blog, we uncover hidden churn signals across support and success interactions and show you how to harness the power of AI and smart escalation management.
Data cleansing (or cleaning), is used to refer to the process of detecting and correcting inaccurate, corrupt or unusable data. It is an essential step before any data analysis project, since every step after it assumes the data is “clean” or, in other words, trustworthy and accurate.
In Part 1, we were introduced to the main data types and what you need to look out for in your dataset before you set out to clean it. Here, we will be taking a look at the actual cleaning steps required to get your data ready for service.
The outsourcing industry is notoriously confusing and we’ve all heard horror stories about what can happen if you choose the wrong vendor. We compiled a list of six questions you should absolutely ask each outsourcing vendor that you consider to help determine if they will provide a quality service.
An effective customer service strategy is a cornerstone for building lasting customer relationships, driving customer loyalty, and enhancing overall brand reputation.
