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The Evolution of Customer Relationship Management: A Look at the Last Five Years

SugarCRM

When you think about Customer Relationship Management (CRM), sales and contact management may be the first thing you associate with it. The ability to track individual customer interactions and analyze that data is a game-changer, especially in an age where customers crave a personalized experience.

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Elevating Customer Support: Five Goals to Strive for in 2024

TeamSupport

Either way, before you pop that bottle of champagne, it’s time to start thinking about New Year’s resolutions for your customer support team. In today’s increasingly competitive marketplace, people—particularly those in customer support—are key to setting your company apart from the crowd. Needless to say, the stakes are high.

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Making Self-Service More Intelligent

DMG Consulting

Leveling Up Bots Intelligent self-service applications are based on several AI technologies, including machine learning, advanced speech technologies (e.g., natural language processing (NLP), natural language understanding (NLU), and natural language generation (NLG)), deep neural networks, and predictive analytics.

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A History of Customer Support Technology

TeamSupport

Here’s a look back at how customer support technologies evolved over the last century, and a peak at where they’re going next. 1960s-1970s: Emergence of Call Centers The concept of providing on-demand customer support began with call centers in the 1960s. In the late 1990s, live chat support emerged as a popular communication channel.

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Unleashing the Power of Real-Time Data: Enhancing Customer Understanding

ECXO

Real-time data analytics and CDP adoption are gaining traction in Europe and across the globe IT leaders last year told IDC that investing in technology to achieve real-time decision making was a top priority. Start where you are. You probably already have a 190-degree view of your customers. This year is no different.

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The Power of Hyper-Personalization in the Contact Center

Fonolo

Let’s start with some definitions. Hyper-personalization in the contact center is a customer experience strategy that uses advanced technologies and data analytics to deliver tailored interactions. This blog will explore the concept of hyper-personalization to understand its benefits, discuss strategies and consider examples.

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Interaction Analytics: Listening in on the Omnichannel Customer Journey

DMG Consulting

For example, to increase the value of surveying/voice-of-the-customer applications, vendors have started to embed interaction analytics capabilities into them to help structure free-form customer feedback. Sentiment analysis, for example, provides insights into the experience of both the customer and the employee.