Decagon

Decagon reduced Curology's customer support costs by 65% Get in touch to see how we can do the same for your business! Read more: https://lnkd.in/gkSPuh3r

After partnering with Decagon, Curology expanded their support hours from 16 hours, 5 days a week to 24 hours, 7 days a week AND reduced customer support operation costs by 65% ?? Everyone deserves access to expert skincare — no matter where you are or what time of day it is. Reach out to Decagon today to book a demo. #customersupport #supporthours #skincare

Decagon is hiring our first GTM Recruiter! ?? We've raised $100M in funding and are building AI support customers truly love. Now, we need an exceptional recruiter to help scale our GTM function. We're looking for someone who: - Has a proven track record building GTM/Sales teams ?? - Can own full-cycle recruitment end-to-end ?? - Is excited by a growing & fast-paced environment ?? Are you or do you know someone perfect for the role? Please apply or share! Link to the role in the comments ?? #GTMrecruiter #recruiter #hiring #ai #startups #aiagents #hiringGTM

Poor support has a cost that is often over-looked: silently unhappy customers. When customers have an issue, many would rather not reach out at all than fight through yet another disappointing support experience. Whether it's a new buyer returning their first purchase or a life-long customer canceling their subscription, businesses lose revenue from silent churn. But when your business delivers a truly great support experience, customers are motivated to reach out because they trust your business to actually help them. ?? The right AI support agent solution will increase top-of-funnel support ticket volume, but the number of tickets your human agents must process actually decreases. Read more in the comments below ??

I love hearing stories like these! ?? At Decagon, we're pushing the boundaries of AI agent helpfulness. We work closely with our customers to build delightful experiences for their end users.

Seeing Decagon on a lot of market maps recently ?? The rapid pace of gen-AI innovation in 2024 has been incredible to witness, but the space is still young. Sustainable success demands teams building in the space to thoughtfully design robust and comprehensive AI agent systems. At Decagon, we've worked closely with enterprise leaders from diverse industries, ranging consumer to fintech, to deeply understand what is needed for gen-AI agents to power the customer support lifecycle. We've leveraged these learnings to build a fully unified, integrated gen-AI agent system that continuously evolves alongside the rapidly advancing landscape of enterprise AI, adapting to both your business needs and emerging technologies. Thank you Cathy Gao for putting this together!

One of the non-intuitive things we've observed when talking with large customer support orgs is the phenomenon of silently unhappy customers. In particular, when good automation is added to the customer experience, the number of top-of-funnel tickets will increase. This means there's a group of customers with issues that are both not getting served and not getting noticed because it's too effortful for them to contact support. So when, say, a good AI agent is introduced, you not only have the benefit of engaging the folks that would have silently churned, but you will also resolve enough tickets that the final volume that reaches your team goes down. The end result is that the AI agent is not only saving operational costs but driving higher net revenue by engaging more of the customer base. We've seen this firsthand several times, which was very surprising the first few times. Adding a great article written by Kaylee George in the comments! ??

One of the non-intuitive things we've observed when talking with large customer support orgs is the phenomenon of silently unhappy customers. In particular, when good automation is added to the customer experience, the number of top-of-funnel tickets will increase. This means there's a group of customers with issues that are both not getting served and not getting noticed because it's too effortful for them to contact support. So when, say, a good AI agent is introduced, you not only have the benefit of engaging the folks that would have silently churned, but you will also resolve enough tickets that the final volume that reaches your team goes down. The end result is that the AI agent is not only saving operational costs but driving higher net revenue by engaging more of the customer base. We've seen this firsthand several times, which was very surprising the first few times. Adding a great article written by Kaylee George in the comments! ??

We are Vegas bound for @AWS Re:Invent! ?? ? Connect with us December 2-6 to see how our AI agents can elevate your customer support. See you there! #AWSReInvent #DecagonAI

Chat support shouldn't be something you have to endure. It should be delightful ?