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Monitoring the latest contact center trends 2021

Spearline

In a survey conducted by CGS , it was interesting and reassuring to know that customers still rely on voice as their number one method of communicating with a customer service agent. Fig 1: Screenshot taken from GCS' infographic survey ' Is Covid-19 Illuminating Cracks in Customer Service? '

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4 Steps to Build a Call Center Training Program that Works

SharpenCX

When PwC surveyed 15,000 consumers, they found that 1 in 3 customers leave a brand they love after just one bad experience. They also encourage self-coaching. Step 3: Use speech analytics to anticipate training needs. With speech analytics, your team can convert every day conversations into helpful transcripts.

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Is the Contact Center a Good Career? Tenured Agents Say Yes

Balto

We surveyed over 620 tenured agents to understand if they view the contact center as a strong career path, and the answer was a resounding yes. In our survey, 46.7% In our survey, we found that 62.96% of tenured agents had a mentor at work. Key word: opportunity.

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10 Best Call Center Software: 2023 Updated List

JustCall

Did you know the global call center AI market will increase 10x by 2030, reaching the $9,949.61 Call Whispering Coach your reps during live calls when the deal is going south. It comes with advanced features like real-time call transcription, AI scoring, moment analysis, sentiment analysis, coaching insights, and live agent assist.

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How to Fix Onboarding, According to 400+ Contact Center Employees

Balto

Coach your agents on how to improve at their jobs, and provide specific feedback where possible. Proper coaching will help those that may be struggling, and will advance those that are already doing a good job. Send a post-onboarding survey to your new agents: Did this program help them in their role? CSAT Surveys.

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AI Conversational Intelligence Revealed: The Future is Here!

SmartKarrot

Conversational Analytics for different departments 1. Here are some keyways in which AI is being used in customer success: Data analysis & presentation: AI can analyze large volumes of customer data from various sources, including CRM systems, social media, and customer feedback surveys.