Remove Average Handle Time Remove Case Study Remove Metrics
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Creating a Custom Zendesk IVR Integration for a Multinational Communications Corporation: A Case Study

BlueOcean

By developing a custom Zendesk IVR integration for a global communications leader, Blue Ocean eliminated manual data entry, reducing average handle time by 53 seconds and boosting customer satisfaction ratings by 34%. Ready to reduce your call handle times and boost customer satisfaction? as part of our QA process.

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Case Study: A Strategic Approach to Driving Revenue Through Upselling

24-7 InTouch

By using our approach, the brand saw an increase in average order value and significant improvements in key performance metrics like voice of the customer (VOC) and average handling time (AHT). The post Case Study: A Strategic Approach to Driving Revenue Through Upselling appeared first on IntouchCX.

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Case Study: Boosting Efficiency in the On-Demand Workforce With AI Solutions

24-7 InTouch

Brands in this sector struggle with maintaining seamless operations and providing effective real-time support to freelance workers and customers, leading to inefficiencies and increased average handling time (AHT). Learn more about how you can implement AI-powered solutions to elevate your brand today.

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Call Center Metrics & KPIs to Measure Agent Performance

Balto

There are many metrics and KPIs (Key Performance Indicators) that give you insights into agent productivity, customer satisfaction, and employee satisfaction. These metrics can significantly improve your decision-making process and make your agents and customers happier. Key Metrics for Measuring Agent Performance. Call Volume.

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NEW Ways to Supercharge Contact Center FCR and AHT Performance

CX Global Media

Common KPIs like First Contact Resolution (FCR) and Average Handle Time (AHT) might be common KPIs but they ways they are being improved upon are very dynamic. Recently one of our BPO customers did a case study. Managing those metrics (FCR and AHT) is not where performance and change comes from.

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AI for CX 101: Conversational AI Metrics that Matter

Netomi

Metrics are critical in order to gauge the performance of both support teams and the technology solutions behind them in any project. In our customer case studies , we frequently talk about milestones such as our customers reaching deflection rates of X%, yet what do these terms really mean? Deflection Rate.

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[White Paper] Frost & Sullivan: The Analytics-Driven Contact Center

Aspect

Many organizations are beginning to understand just how interdependent these metrics are on one another. Run more accurate staffing forecasts that put the right agents in the right place at the right time to effectively manage customer traffic . A nalytics can help agents be more productive.