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We also benchmark your NPS against industrystandards, providing critical insights that show where you stand compared to competitors. Are they frustrated by long waittimes? Run a correlation analysis to look at how NPS connects to key factors (like response times, product quality, or ease of use).
It involves measuring customer effort on customer service interactions, such as the number of customer emails received, the length of customer waittimes, and the number of customer complaints. Compare your score to industrystandards (by region, country, industry).
Optimize Average Handle Time (AHT) AHT measures the average time spent on a customer interaction, including talk time, hold time, and after-call work. Benchmark: Many organizations aim for an AHT of 480 seconds (8 minutes), depending on industrystandards. Use AI-driven analytics to identify bottlenecks.
For instance, McKinsey.com found that using advanced real-time analytics: reduced average handle time by up to 40%, increased self-service containment rates by 5 to 20%, cut employee costs by up to $5 million, boost the conversion rate on service-to-sales calls by nearly 50%, all while improving customer satisfaction and employee engagement.
Plagued by long waittimes, agents dealing with inadequate or incomplete access to information and a disconnect from digital channels, contact centres are struggling to meet customer service expectations. Chatbots also lend themselves well to gamification around content awareness, skills training and performance improvements.
Long waittimes and poor service can drive customers to abandon calls. Define Clear QA Standards First thing first, before implementing best practices, it is crucial to establish clear QA standards. These standards should include: Hold Times: What is the acceptable waitingtime for customers?
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