22 speech analytics use cases in operation in France
In today's world, speech analytics represents a major innovation for customer contact centers.
To help you picture everything speech analytics can do for you, Batvoice AI reveals below 22 use cases already in operation in France at many companies across different industries, such as telecommunications, insurance, banking and energy.
What is speech analytics?
Speech analytics, or voice analytics, is a technology that analyzes interactions between customers and agents by collecting and leveraging the voice data from customer calls.
Traditionally, this technology is used in customer relations to better understand the voice of the customer, which makes it essential in call centers.
Combined with quality management or quality monitoring, speech analytics also analyzes the agents' voices in addition to the customers'. This approach makes it possible to validate quality and compliance checks on interactions more efficiently.
Let's look more concretely at how speech analytics can improve customer satisfaction, quality, productivity and conversions in your company through these 22 use cases.
Improve satisfaction
1. Reduce repeat calls
To improve customer satisfaction, voice analytics identifies the recurring reasons for repeat calls so you can put countermeasures in place proactively. This increases first contact resolution, reducing the need to call back about the same request.
2. Identify pain points in the customer journey
Call analysis highlights friction points in the customer journey, so you can quickly target and eliminate these pain points. These continuous adjustments help make the customer experience much smoother.
3. Identify recurring questions to digitize
By examining the common topics raised in calls, you can decide which questions could be handled by FAQs and digital guides to reduce call volume and relieve agents.
4. Identify processes to improve
Analyzing call reasons also helps identify internal processes that need improvement. By better understanding these gaps, you can refine your processes to improve customer experience and loyalty.
5. Identify calls with a churn risk
Detecting certain emotions and language patterns during calls can indicate that customers are dissatisfied or about to leave. By identifying these risks early, you can step in quickly before the customer decides to turn to a competitor.
6. Identify calls with low CSAT to trigger a customer callback
Combining speech analytics with CSAT tools lets you spot calls that received a low customer satisfaction score. This gives you the opportunity to call these customers back to solve their problems, improve their experience and turn potential detractors into promoters.
7. Prioritize retention and customer experience actions
Analytics data lets you rank and prioritize retention actions. Taking a targeted approach helps you focus your efforts where they will have the greatest impact on customer satisfaction and retention.
Improve quality
8. Improve customer scripts and track quality processes
Speech analytics also fits into quality management processes. By analyzing conversations, supervisors can identify areas for improvement in customer scripts and track the results of the solutions put in place.
9. Surface agent issues (compliant/non-compliant calls)
By evaluating every call, you can determine whether it complies with your company's quality standards. This lets you quickly address recurring problems and take the necessary steps to improve the customer experience.
10. Make compliance scores reliable across in-house and outsourced sites
Consistent evaluation across in-house and outsourced teams is important to guarantee a uniform customer experience. You can use a platform like Batvoice AI to centralize data and check that interaction quality is at the same level everywhere.
11. Get a comparative view of quality across sites
With speech analytics, you can easily compare performance and quality across your different sites. This gives you an overview and helps you identify the teams that need more attention.
12. Run more automated quality evaluations
Normally, only 1% of calls are listened to, whereas automated evaluations make it possible to analyze 25 times more calls with no additional manual effort. As a result, supervisors get a much more complete and reliable picture of agent performance.
13. Target training and make upskilling more reliable
With precise insights into agent performance, you can better target the training each agent needs. This ensures faster, more effective upskilling that addresses individual needs specifically.
Increase productivity
14. Reduce time spent on quality and compliance evaluations through automation
Automating quality and compliance evaluations can greatly improve efficiency. On average, Batvoice customers spend half as much time on each evaluation and 30% less time on their quality processes as a whole.
15. Reduce time spent on call tagging and improve its quality
Call tagging is often a laborious process. Voice analytics can make it faster and more accurate. Based on the content of each call, it automatically identifies relevant tags, freeing your team from this time-consuming task for higher-value work.
16. Automate reporting
You can schedule regular reports and receive them by email to track performance, identify trends and adjust your strategies accordingly. This ensures faster decision-making based on hard data.
Improve conversion
17. Identify recurring objections
Voice analytics helps you spot frequent customer objections during sales calls. By better understanding what stops your customers from buying, you can adapt your approach and give your agents the resources they need to handle these objections effectively.
18. Identify agents' areas for improvement and conversion drivers
Call analysis lets you assess each agent's sales performance. By identifying areas for improvement, you can offer targeted training to strengthen their skills and increase their conversion rates.
19. Identify inbound calls with a sales opportunity
Spotting calls that offer sales opportunities is crucial to growing your revenue. Once speech analytics has identified them, the platform automatically schedules targeted callbacks to seize these opportunities.
20. Identify up-sell opportunities
With detailed conversation analysis, you can detect up-sell opportunities that often go unnoticed. Your teams can then adapt their pitch in real time to offer higher-end products or services when relevant, increasing company revenue.
21. Track and verify that agents offer additional services
For a sound conversion strategy, it is important to check that your agents systematically offer additional services to customers when relevant. Voice analytics makes this possible by listening to and evaluating calls to ensure every opportunity is seized.
22. Track and improve cross-sell and up-sell offer rates
Speech analytics lets you track the frequency and effectiveness of the up-sell and cross-sell offers made by agents. By analyzing conversations, you can identify the right moments for these offers and optimize your sales scripts and strategies.
