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. “How can you ensure that your support team is still providing personable, conversational support at scale?” ” So as customersupport becomes increasingly digital-first, how can you ensure that your support team is still providing personable, conversational support at scale?
Customersupport is more business-critical than ever. But in today’s fast-paced world, your customersupport can only be as effective as the technology that underpins it. Study after study shows that the vast majority of support teams are unhappy with their current customersupport tech stacks.
We have become synonymous with making personal and conversational interactions the bedrock of a great customersupport experience. At the heart of that reputation is our belief that great support is about more than just managing and closing tickets. What is customersupport? Customersupport should be personal.
Simultaneously, support teams are struggling with spikes in conversation volumes. A proactive customersupport approach is the key to regaining control. The typical support “strategy” is to let common issues roll in for support reps to address. What is proactive customersupport?
Today, the discipline is increasingly interwoven with other vital go-to-market motions — including sales and customersupport — and is responsible for all business elements associated with marketing, including the tech stack. As marketing becomes more tech-driven, the role of marketing operations (MOps) is getting more complex.
We share their advice for other leaders looking to expand their customer care to more languages and timezones. The ROI of global customersupport. Setting up global customersupport requires dedication and investment. So excellent global customersupport can be a source of revenue. Increased revenue.
Prashanth Chandrasekar, CEO @ Stack Overflow recently shared with our community the four key pillars he feels are necessary to propel a company to scale upward. Is your product sound, and does it solve a big problem for customers, enough for you to scale? The four key pillars he lays out are: Product market fit & expansion.
The internet is also driving an explosion in customer choice, allowing them to easily switch to businesses who provide better experiences. Delivering those better experiences requires a fundamentally new way to do customersupport, a messenger-based approach that works at internet scale.
Automation supercharges support, empowering teams to provide personal support at scale without overstretching your team – and our data shows support leaders are hungry for more. . The results reveal a clear appetite and need for automation to meet the challenges of a rapidly evolving support environment: .
Lucid launched in 2010 (before PLG was a term), and their team had an intense focus on product early on, so much so that the COO at the time read through hundreds of thousands of customersupport tickets to hear directly from customers. In their first year, they had their first paying customer.
Check out the low down on our sponsors for SaaStr Scale who are helping to make this event happen. Gainsig ht works to help businesses build deep and lasting relationships with their customers through their very own Customer Success platform. Freshworks. Unlocking the magic of communications that are improving human experience.
In the not-too-distant past, customersupport was seen as a hassle, a cost that had to be borne but which was really just a tax on success. If it wasn’t for those pesky customers with problems, profits would be through the roof, right? There is no escaping the fact that supporting your customers costs money.
Help desk metrics are measurements that allow you to track your performance and effectively adjust your strategy to provide better customersupport. They’re vital for gauging whether or not your current customersupport solutions are meeting the needs of your customers and your organization. Resolution Time.
You can talk about the roadmap or sales strategy until you’re blue in the face, but if you don’t have the team to do it at scale, there’s no point in talking a ‘big game.’ .” Founders should spend 20-30 percent of their time soft recruiting execs. Nothing else matters, right?
This year, we launched Scale , a new content strand focusing on how industry leaders are propelling their companies forward by keeping their customers front and center. . When we created Scale, we had no idea what the year would hold in store; we simply knew that investing in long-term customer relationships was the key to success.
The Conversational Support Funnel can help you stay on top of your support, without increasing your overhead. Below, we share our favorite tips for proactively and automatically resolving queries, at scale. The post Tips for creating a great customersupport experience during the holidays appeared first on Inside Intercom.
Lesson #1: Invest In CustomerSupport Early Cloudinary strongly believes that customer success and support are enablers of PLG growth and aren’t just a cost center. That was a hard lesson for the Cloudinary team: investing vs. scaling. Key Takeaways Think of customersupport and success as a growth lever.
We recently released more than 20 new features that make Intercom better at handling complex queries and therefore a better tool for offering world-class support at scale. The features combine to allow for sophisticated ticketing workflows behind the scenes, but with all the advantages that make our Messenger so popular with customers.
AI-powered Customer Onboarding and CustomerSupport We’re seeing a lot of companies using either AI tools they built themselves or through 3rd-party AI SaaS vendors have success helping users understand a new behavior or use a product for the first time. What’s Currently Working in AI for SaaS 1.
Tailored, in-context experiences have become table stakes, making the one-size-fits-all approach to customer communication a thing of the past. With that in mind, the challenge businesses now face is striking the right balance between personalization and scale – which, historically, has been a tricky line to walk.
At Box, there was a culture and mindset shift early on that customer-facing teams shouldn’t live in silos. Every customer-facing team is on the renewals team: customer success, sales, product, customersupport, marketing, and of course, renewals.
From reactive to proactive customersupport. That’s where customer success differs from customersupport. Traditional customersupport is reactive; something has to stop working before the customer reaches out with an issue. On the other hand, customer success is proactive.
As more and more business moves online, and customer expectations have risen accordingly, the demands on support teams have soared – it often feels like teams now need superhuman speed just to keep up. Ultimately, customersupport reps are in need of tools that help them do their jobs more efficiently, effectively, and enjoyably.
But maybe not while you are scaling, you can often afford to invest more if you have funding. One you may not have heard but it’s a good one — is Hire One Customer Success Manager for every $2m in ARR. This is pretty much where most of us end up at, at scale. Sales +Marketing Expenses < First Year ACV = Success
You ideally need to close the first 10–20 customers yourself, and then hire sales folks to help. Have everyone in the company do customersupport. Everyone will understand feature gaps and priorities much better if every engineer and every salesperson also has to do support calls and tickets. Don’t expect magic.
Jason recently opened up an AMA on Twitter Spaces to answer questions about how to scale faster. And I’ve watched them fairly quickly scale, to soon they’ll be at 10 million in revenue. As they scaled, they radically changed how they did sales. Jason Lemkin: Okay. Let’s get it going. Times are good.
Agile principles can be a North Star for time-strapped support teams, helping them to keep the customer’s needs at the heart of their decisions so they can provide fast, personal support at scale. At WeTravel , adopting agile has allowed our small support team to focus on delivering big value to our customers.
How Much of CustomerSupport Will AI Replace? The Top 10 Customer Success Metrics Investors Care About in 2025 with Gainsight CEO Nick Mehta #4. The Revenue Playbook: Ripplings Top 3 Growth Tactics at Scale with Rippling CRO Matt Plank Redpoint: 31% of All VC Money Last Year Went Into Just 20 Deals #3.
The New AI ROI Framework Before investing in AI, Calendly’s team evaluates four key factors: Customer value (will this meaningfully improve outcomes?) Cost structure (can we sustainably deliver this?) Data quality requirements User experience impact 4.
Agentin: Autonomous Agents for CustomerSupport What They Do : Agentin has built an autonomous agent platform that handles complex customersupport workflows from end-to-end without human intervention. Why It Matters : Customersupport teams are drowning in tickets, with resolution times getting longer, not shorter.
How can we keep creating a unique customersupport experience even as we get an increasing number of messages from customers? Delivering exceptional customersupport has always been at the core of Buffer’s mission. This is a question that is always on my mind.
But it also might start to analyze customers’ behavior in online webinars, conversations with customersupport and sales teams, and more - all of which is unstructured data stored in video & raw text & audio files. Data lakes allow for the storage of both structured and unstructured data at scale.
Not too long ago, customersupport was viewed as a cost center, not a value driver. It was seen as a necessary part of a business, but not something that drove revenue or influenced customers’ buying decisions. Study after study shows how important a great customer experience is to today’s consumers. That time is over.
Companies like Bamboo HR and Scale AI are already automating their entire sales and revenue operations using AI-powered customer conversation analysis. That’s not hyperbolethat’s the new competitive reality. Just talking about AI isnt enough. They need to be using it to improve efficiency every single day.
In the world of customer success, there’s a constant pressure to scale while maintaining that personal touch that keeps customers loyal and engaged. The challenge is that traditional customersupport tools are not built to handle “human touch” at scale. AI can unlock empathy at scale.
Over the course of the past year, the customersupport landscape has changed for good. As brick-and-mortar businesses closed worldwide, companies and customers alike had to pivot to digital-first ways of doing business. Over half (53%) of support teams have seen a meaningful increase in support queries since COVID-19 hit.
Customers will prefer interacting with an AI that knows the product perfectly over a junior rep who needs three days to respond. This is already happening in customersupport, and sales is next. The key is to start small, figure out what works, and scale from there. And it’s accelerating. Much more here:
Secureframe has everyone on their customer success team calculate their book of business by hand to see their net revenue retention, so that they truly understand what goes into the calculation, what impacts it, and how they can better take action on it. Scale the GTM engine. It’s the responsibility of the entire company.
And it makes sense: in order to be around to support your customers well into the future, you need a solid foundation for scale. . But obsessing over efficiency can mask what’s most important, and most rewarding, to support teams – actually helping customers. The evolution of customersupport.
paying customers in SaaS. And it’s very hard to support them with any customersupport or salespeople at that price point. At $12 a year, how much can you spend on live support? So almost everyone finds a way to get customers to pay $10 a month instead, and you have a $100m+ business, worth $1B+ that can IPO.
On Tuesday, Theory held an event with [Dave Morse] formerly at Hebbia & Scale AI , Flo Crivello from Lindy , Paul Yacoubian from Copy.AI , & Chris Chang from Gradient to discuss how AI changes these practices. Only VCs care about the word agents / agentic : for most enterprises, agents mean a customersupport agent.
Customer Success wants to automate away small customers. Support is overwhelmed with Free and Small users if they get support at all Product is under pressure to ship the big features for the big dollars, and stops investing in the long tail You just plain run out of internal champions for your Long Tail.
The customer success team would like help deploying the software to new customers. After scaling sales enablement successfully, the next step is to understand where your customers are. Most of the time, customers suggest these integrations as part of their feedback to account management and customersupport.
That’s Freemium at scale. 25% of the savings are coming from customersupport. It takes Wix 5 quarters to get profitable on a new customer. While that’s OK with 110%+ NRR, it also burns significant cash at scale. Because getting that NRR up, and getting them to buy even more from you, is often harder.
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