Speech analytics that turns insights into outcomes.

Powered by AI & machine learning, Tethr analyzes 100% of customer interactions in your contact center to lower costs, reduce churn, and increase sales across omnichannel conversations.

• Automatic QA of calls, chats, cases, and more • Predictive CSAT
• Out-of-the-box, actionable insights • Ensure compliance on every call
• Identify and reduce repeat calls • Improve contact center KPIs

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Get a demo to see how Tethr turns insights into action.

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Leverage contact center voice analytics today.

Want to analyze and score agent and team performance, build lasting customer loyalty, eliminate high-effort experiences, and reduce operational costs? Voice analytics platform Tethr is the best way to get the data and research-backed guidance you need to improve your call center performance.

Analyze every customer call, and get coachable insights to improve your contact center.

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Personalized agent coaching

Zero in on issues right when they happen with Tethr’s laser-focused scoring, and provide call center agents with recent examples and real solutions.

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Nurture customer loyalty

Reduce churn and build loyalty at the same time by identifying and eliminating areas of friction in your contact center. 
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Improve first call resolution

Leverage insights in Tethr’s voice analytics tools to empower your agents with the training and information they need to resolve more customer issues on the first call. 

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Automate QA

Use speech analytics to automate call center QA, so you can base findings on comprehensive call data and not sporadic evaluations. 

High-impact agent coaching.

Spinning your wheels analyzing call center data that doesn’t improve performance? Our pre-built dashboards give you quick access into analysis of your customer interactions. In moments, you can view insights and see the metrics that matter now.

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Analyze every conversation

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Today’s customer service leaders struggle with…

Increasing customer expectations

Time-consuming compliance screening

Decreased customer loyalty

Coaching based on limited call sampling

High agent attrition rates

Speech analytics can help you combat these issues.

Frequently asked questions

What is the purpose of contact center analytics software?

Call center analytics software automatically analyzes your call center operations and agent performance and provides actionable insights for your organization.

While some call center software analyzes metrics that focus solely on call volume, agent productivity, and others, Tethr gives you a full picture of both your customer experience and agent performance.

Some of these metrics include customer satisfaction, customer engagement, and a customer effort score. We also use various customer data sources to understand customer trends, such as churn risk.

What is speech analytics software?
Speech analytics software, also called voice analytics software or conversation intelligence software, is a platform that analyzes customer interactions, such as phone calls or chat messages, to extract valuable insights and improve communication strategies. This software can help companies improve customer service, cut costs, reduce churn, and increase revenue. Companies use speech analytics software to gain insight into customer expectations, customer behaviors, and sentiment analysis. They can also gain contextual information about key metrics for customer service department performance and individual agents' performance.
What are the advantages of using contact center analytics software?

Advanced analytics tools combine artificial intelligence, existing data, and call center predictive analytics to help improve your call center’s performance.

Using a combination of the data we extract from your customer engagement channels and machine learning, we allow you to easily spot problems in your contact centers, accurately measure customer satisfaction and agent behaviors, and identify customer trends.

You can use these actionable insights to drive business outcomes, such as improving customer loyalty.

How can a contact center measure agent performance?

A good customer service agent can provide an excellent customer experience while reducing the cost of services. Tethr taps into the power of machine learning and artificial intelligence to measure how effective call center agents handle customer feedback and customer relationships.

We score each agent and team based on the agent’s impact and on the call difficulty, and provide succinct, actionable information that tells you what your call center team is doing right – and what they need to fix.

Our call center data analytics software analyzes data from contact centers such as average handle time and other key performance indicators, but also works on improving customer satisfaction by measuring and identifying other agent behaviors such as uncertainty, confusion, and negative language.

Can call center analytics tools also measure other types of customer interactions?

We know your customers don’t always speak directly to call center agents. We have many customers who use Tethr to analyze the call center operations, but we don’t stop there.

Our suite of contact center analytics solutions can also analyze conversations you have via web conference, chatbots, live chat, and case management. We also offer integrations with customer relationship management platforms and several cloud service providers.

What is the voice of the customer?
The voice of customer (VOC) refers to the customer feedback about a particular product, service, or experience. It is important for companies to listen to the voice of the customer to understand their overall customer experience and customer journey and identify what's needed to improve their offerings. Companies often collect voice of customer data from customer surveys, but increasingly, companies rely on artificial intelligence tools to capture actionable insights about customer sentiment from customer support team conversations and sales calls.
What is voice analysis software?
Voice analysis software is a technology that analyzes conversations using AI and machine learning to determine customer and agent engagement, customer sentiment, and effort level. It is often used in call centers and customer service settings to improve communication between customer service agents and customers.
What are customer service metrics?
Customer service metrics are performance indicators that measure how well a company is serving its customers. Examples of these metrics include average handle time, response time, resolution time, customer effort score, customer retention rate, and customer satisfaction scores.
What is a call center agent performance scorecard?
A call center agent performance scorecard is a tool that measures the performance of call center agents based on various metrics such as call volume, call duration, customer satisfaction, contact resolution rates, and more. Scorecards help managers identify areas for improvement and track progress over time.