5 Useful Ways to Utilize Data to Boost Customer Experience within Your Contact Center

A contact center is more than just a support center; it offers actionable insights into the way that a company chooses to treat its customers. The level of customer support a contact center provides can determine the difference between a company that fails its customers, and one that supports them. It is easy to maintain excellent customer service when we enhance customer and agent experience. Still, how a company navigates dissatisfied customers is a true testament to its core values and overall sustainability. With that in mind, how your team manages its contact center is directly correlated to customer retention and loyalty.

With such a heavy task on their shoulders, contact center managers can’t operate with absence of insights. Instead, they must utilize customer interaction insights to build and sustain a brand’s image. Automated processes and software that allows contact center managers to collect data for creating robust online experiences, satisfied customer and effective sales techniques.

Admittedly, it can be hard to shift to purposeful data collection as many brands are focused on model performance, email volume, real-time chat metrics, and call volumes instead of the actual wealth of information hidden inside each customer interaction. Sticking to pure metrics in lieu of performance metrics is a missed opportunity to sharpen customer experience and marketing efforts. Here are just a few methods to revisit how you interpret your contact center data and metrics in the future.

Build Customer Loyalty

Since contact center agents act as the front line of defense, it is necessary that they’re well-trained to acquire and retain customers. Brands must identify their customer preferences through past conversations and must train agents on how to handle such difficult interactions.

The key to increase brand loyalty is engaging and delighting customers. When contact center agents have visibility of previous customer lifecycle and interactions, they can easily determine the likes and dislikes of those customers. This further leads to providing positive customer experiences, higher customer retention and improved brand loyalty.

Get to Know the Customer

Reading or typing out a script that answers a customer’s questions but does not enhance their experiences is a missed opportunity for companies. Customers don’t tend to think separately about their experiences. If you don’t spend time boosting their confidence in your brand, they will reconsider their entire perception with your brand.

The best way to uplift customer experience and use it to your advantage is by taking some time to understand the consumers you are interacting with. Marketers can use data from interactions to help team members better understand the brand and the customers interested in it. This information creates actionable insights to help team members better engage the consumers.

Boost Conversion Rates

Of course, the overall goal of team members at a contact center is to boost conversation rates, and data provides insights on how to do so. Identifying customer sentiments from interactions is a great way to determine the trends influencing customer experiences. Sentiment analysis is a valuable tool for defining effective rebuttals for improving customer experiences, identifying critical behaviors leading to success and driving revenue impact.

Identifying Customer Expectations

Want to know the best ways that increases conversion rates? It starts with identifying customer expectations from your brand and then taking extra steps to deliver it. The trick is identifying behaviors that lead to excellent customer service, which as highlighted earlier, can be found in your data.

In most cases, you will find that customers simply want to be heard and listened to. While the approach may vary based on your customer base, customers appreciate a brand that offers them a personalized experience paired with a short handle time.

Self Service analytics identifies the customer touchpoints that can be automated via IVR or automated Live Chat. As a result, technology will assist your customer 24*7*365 for common concerns, while your contact center agents can focus on more strategic conversations requiring human assistance. This improves your contact center productivity by reducing the queue length and reduces customer frustration due to longer wait times.

Understand the Complexity of Your Data

Contact centers, and the brands that run them, need to make the data from customer interactions actionable. Your goal when structuring the data is not just to improve customer experiences, but also to analyze the information for developing your brand.

Contact centers and live chats are a great way to identify customer behavioral patterns and understand their expectations. Data is always your friend. So, use the opportunities it presents to your company wisely. By turning data into actionable insights, you can grow your company and build a happy customer base while doing it.

During the pandemic customers became much more dependent on contact centers for customer service. As most daily functions transferred to digital platforms, a growing number of consumers learned how to navigate the world of instant chat, email support, and phone support. In today’s business place digital service is now well-established. Businesses moving forward need to ensure their contact centers are up to offering comprehensive customer service.

If you need help managing or creating a highly-effective contact center that is data-driven, contact Etech Global Services today.

By |2022-05-06T03:54:33-06:00May 5, 2022|

Author

David Carrizales is Senior Vice President over Etech’s On-Shore and Nearshore Operations with an added responsibility for Etech’s Global Training and Development Department. His responsibilities include overseeing Etech’s 6 on-shore centers and our Nearshore, Montego Bay, Jamaica center with focus on contact center operational strategies by conducting needs assessments, performance reviews, capacity planning, and cost/benefit analyses; identifying and evaluating operations state-of-the-art technologies; defining user requirements; production, productivity, quality,

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