Two Proven Tips to Improve Your Customer Service

It’s essential that you have fantastic customer service if you hope to beat out your competition. You can try to offer your products and services at good values or create captivating ads and creative customer support techniques but if you don’t treat your customers well, they will look for somewhere else to do business.

You need to do more than attract new customers if you hope to stay in business. Maintaining loyal customers should receive more of your attention than attracting new customers, as loyal customers have the potential to bring you up to 50% of your revenue. In addition, loyal customers are likely to give you good reviews online or recommend you to their friends and family.

So, how can you create the best possible customer experience so you can maintain loyal customers? Yonyx enables organizations to create multi-media flowcharts that provide customers an interactive self-service experience similar to interacting with a live Agent.

1) Always answer the phone!

Every time the phone rings you have the opportunity to help a customer and represent yourself as a courteous, professional business. If your customer keeps calling and you don’t answer or make an effort to call them back, they aren’t going to want to do business with you again.

2) Remember to listen

Customers also value that you listen to them when they talk to you. If they have suggestions or complaints, take them to heart. No one knows more than your customers whether you offer an enjoyable shopping experience. Listening to your customers can make you more successful

Yonyx enables organizations to generate creative customer support, good social CRM and customer experience that provide customers an interactive self-service experience similar to interacting with a live Agent customer support analyst.

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Create interactive decision trees for customer service management, cold call scripts or self-service. Improve sales performance metrics and customer delight across your call centers.

Interactive Decision Tree