CX and CSAT Solutions

The voice of the customer across every channel

Customer experience is constantly developing due to customers’ changing needs and expectations and advancements in technology. By combining artificial and human intelligence, businesses can provide a better and more efficient customer service, giving your team the right knowledge when they need it. Combine historical customer experience analytics, NPS, sentiment, identification of broken processes and other performance features, and the result is a truly compelling solution that delivers business efficiencies.

Do you want to better understand and improve your agent training requirements?

A combination of real-time and post-processed analytics can help businesses to quickly analyse and identify conversational shortcomings and training opportunities. Contexta360’s interactive coaching tools, conversational highlights and task assignment ensure that your agents are always well trained and equipped to provide world-class service.

Are you dealing with your customer calls first time?

The contact centre relies heavily on measuring and analysing first contact resolution. First contact resolution has a large influence on customer satisfaction scores, and a high first contact resolution rate is associated with a high level of customer satisfaction. This critical metric, along with many others, can be automatically analysed within the Contexta360 dashboard, providing you with a comprehensive view of the situation.

Do you understand your broken processes and how to fix them?

Missed KPIs, inefficiencies, bottlenecks and customer and staff complaints are all signs of broken processes. Your team may feel as if it is putting in more effort than ever to complete simple tasks. Identifying these issues can be time-consuming and may lead to inaccurate results. Contexta360 uses advanced analytics tools to discover topics and trends automatically. This can help to identify where processes are failing and the root cause.

Do you know why your customers are calling you?

Businesses receive thousands of calls every day, but there is rarely any intelligence available to show why they are being called. Understanding why customers call enables businesses to modify their messaging and processes and reduce the number of calls. Contexta360 helps businesses to identify friction points and the measures and processes that need to be changed to reduce costs and improve operations.

Are you still relying on static surveys to determine CSAT success?

Customer satisfaction surveys and feedback are vital aspects of building better products and anticipating customers’ wants and needs. However, static surveys are hard to scale and customers do not want to complete them. By installing conversational intelligence and automatic summarisation, your business can gain insights from the conversation itself.

Are you measuring your agents' mood and wellbeing?

Customer experience metrics can be influenced by the way your staff enage with them. By automatically analysing sentiment, over talk, silence and more, Contexta360 gives a red, amber and green status for all metrics, both post call for many groups or for single calls in real time, enabling team managers to understand staff wellbeing and take positive action.

Do you know how much effort your customers spend resolving issues?

The customer effort score (CES) highlights how much effort your customer spends resolving issues, as well as workload and process simplicity. Contexta360 provides innovative data modelling to capture all topics, intent and business metrics to determine the best way for your company processes to be understood. As a result, businesses can make meaningful changes that produce measurable results through understanding what is working and what is not.

Do you need better customer retention intelligence?

Some businesses never measure customer retention, others calculate how many customers they have at the end of the year versus the start. Contexta360 analyses all conversations and can automatically sort them into areas of interest using advanced topic detection coupled with deep-learning capabilities. This means that you will know when your customers are unhappy and the probability that they will leave. This information will be at your fingertips and presented as data-driven analysis or in real time.