The Quintessential Customer Relations Guide for the Software Industry

Products and services in the software industry require a level of customer support that involves technological support as well as high quality customer service. Below are a few tips to serve as a software customer relations guide that are sure to drive customer retention and loyalty.

Yonyx enables organizations to create decision tree driven interactive guides for troubleshooting or how-to related customer self service.

Never forget that ‘the customer is the king’.

It can be easy to get lost in the technical aspects of the software industry, but the customer drives sales just as much as in any other industry. As a result, improving customer care is the main focus of the software customer relations guide.

Automated support is a requirement, not an option.

Customers overwhelmingly prefer self service with access to online troubleshooting support 24×7. Don’t let your competitors gain an advantage by failing to adopt automated support according to the software customer relations guide.

Connect to customers in real-time via social CRM.

Automated support should also be intertwined with social media in a robust social CRM campaign. Any software customer relations guide will stress the importance of connecting to customers through social media outlets and then switching to other channels of support.

Provide regular software updates.

All types of software require constant updating and monitoring to ensure proper function. Customers benefit from software updates and more detailed troubleshooting information, which makes customer relations in the software industry an ongoing affair.

[button_box header=”” buttontext=”Sign Up for a Free-For-Life Account” link=”https://corp.yonyx.com/sign-up“][/button_box]

Develop interactive decision trees for troubleshooting, call flow scripts, medical appointments, or process automation. Enhance sales performance and customer retention across your call centers. Lower costs with customer self-service.

Interactive Decision Tree