Insights from customer support can have a profound effect on your customer relationships and retention.
When customer success is equipped with actionable customer sentiment, they’re better equipped to address recurring issues—with the precise, clear-cut data they need to retain customers.
“Customer Success + Support Data = Improved Customer Relationships”
Join us on December 12 in Mountain View for an evening of learning, sharing, and networking with fellow customer support leaders and enthusiasts.
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SupportLogic users are invited to join in these interactive sessions designed to help teams utilize SupportLogic to its fullest extent.
During this session on August 16th at 10:00 AM PT / 1:00 PM ET, SupportLogic Founder and CEO Krishna Raj Raja will review product releases from the first half of the year and present releases planned for the second half. Krishna will be joined by SupportLogic’s Chief Customer Officer, Judith Platz.
The role of the support agent is transforming, and assisted support is here to stay. Support agents are now more than just problem solvers – they play a critical role in shaping customer experiences and influencing customer satisfaction. To adapt, companies must offer a hybrid support model: Assisted and Autonomous.
The SX Live virtual conference is back from June 13-15, 2023. It’s three days packed with keynotes from industry heavyweights, success stories “from the field”, and breakout sessions with forward-thinking practitioners. We’re bringing together customer support and success professionals to discuss the latest trends in technology, customer pain points, and best-practices shaping the ever-changing realm of support.
Come Relax and Recharge with us on the Second Floor of the Moscone Center at Pulse.
In an environment with hiring freezes and a greater focus on efficiency, you’re expected to deliver positive customer experiences with fewer resources.
Join Harish Batlapenumarthy and Joe Andrews on April 11th to learn how Auto QA solves this issue, allowing you to confidently QA 100% of your cases and accurately predict customer satisfaction metrics.
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