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Analyse all customer interactions with interaction analytics
Interaction analytics analyses various forms of customer interactions coming into the contact centre, such as phone calls, emails, chats, and social interactions. This analysis uses advanced technologies, including natural language processing (NLP) combined with speech analytics, to extract valuable insights.
Customer interaction analytics enable businesses to gain a deeper understanding of customer behaviours, preferences, as well as their sentiment. By analysing the content, tone, and context of customer interactions, contact centres can identify trends, patterns, and areas for improvement. The insights gained from interaction analytics can then be used to enhance the overall customer experience, improve agent performance, and drive strategic decision-making across the business.
Understand and improve the customer experience with interaction analytics
By analysing customer interactions, contact centres can identify pain points, common issues, and areas where customers may be dissatisfied. This information can be used to make process improvements, address customer concerns more effectively, highlight a business case to deploy innovative technology solutions such as IVA, or Agent Assist and ultimately enhance the overall customer experience.
We deep dive in to how you can reduce contact centre overheads using AI
Achieving the balance between delivering high-quality customer experience and maintaining financial stability within your contact centre requires careful navigation. This handy guide explains how you can achieve exactly this.
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Enhance agent performance using data to identify areas for improvement
Customer interaction analytics enables contact centres to evaluate agent performance by analysing factors such as call handling times, adherence to scripts, and customer satisfaction ratings.
By identifying areas for improvement and providing targeted coaching and training, contact centres can help agents develop the skills and knowledge needed to deliver exceptional service.
Read our AI Driven Contact Centre Guide
This handy guide has been put together to showcase how combining the latest AI and innovative technology enables you to deliver next-level CX as well as cost reductions in your contact centre.
Monitor levels of compliance that contact centre agents are delivering during interactions
Interaction analytics can also be used to ensure compliance with regulatory requirements and industry standards.
By monitoring customer interactions for compliance issues, contact centres can identify and address potential risks, such as breaches of data privacy or non-compliance with company policies.
Seamlessly integrate data and analyse all customer interactions
Interaction analytics is a vital tool in today’s omnichannel customer service landscape, where interactions occur across various platforms. It seamlessly integrates data from multiple channels into a centralised system, enabling businesses to analyse and compare customer interactions comprehensively. Interaction analytics serves numerous practical purposes. It facilitates quality assurance and scoring, allowing managers to monitor interaction quality and provide feedback for improvement, as well as enhancing the overall customer experience by identifying recurring issues and areas of dissatisfaction. This enables contact centres to address customer pain points effectively.
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