Evolving Customer Success Roles After the Pandemic

Customer Success Managers who only manage relationships will be replaced. Customer Success Managers who manage value will become irreplaceable. That’s the shift happening right now. For years, CS was measured on: -QBRs delivered -Tickets resolved -NPS scores “Strong relationships” But here’s what’s changing... Executives don’t want activity. They want durable revenue. Now, Customer Success is being pulled closer to: • Net Revenue Retention • Expansion targets • Gross churn reduction • Lifetime Value And AI is accelerating this shift. - Reporting? Automated. - Health scores? Automated. - Usage dashboards? Automated. So what’s left for the CSM? 1. Translating customer behavior into revenue strategy. 2. Quantifying risk before churn happens. 3. Identifying expansion paths tied to business outcomes. 4. Feeding product and pricing teams with monetizable insight. This is the rise of the Value Manager. Not a relationship coordinator. Not a reactive firefighter. Not a post-sale support buffer. A revenue strategist embedded in the customer lifecycle. Because here’s the uncomfortable truth: Relationships open doors. Value keeps contracts. The CSMs who thrive in the next 3–5 years will: • Speak in retention impact, not sentiment. • Frame feedback in revenue exposure, not frustration. • Model expansion opportunities, not just suggest them. • Influence product and pricing with financial language. Customer Success is no longer about being liked. It’s about being financially indispensable. So the real question is: Are you managing accounts… Or governing predictable growth? #CustomerSuccess #RevenueRetention #NetRevenueRetention #SaaSLeadership #CSLeadership #ValueRealization #ExpansionRevenue #B2BStrategy

Customer Success didn’t evolve. It split. There are now two versions of the role. Version 1: Relationship manager. 🗓️ Calendar full. 🗒️ Notes in Salesforce. ✅ “Checking in.” 🧑🚒 Heroics at renewal time. Version 2: 👷 System designer. 📈 Data-literate. 🤖 AI-augmented. 🔛 Process-driven. 🪄 Orchestrates outcomes at scale. Most orgs still hire for Version 1 and expect Version 2 results. That gap is why CS feels overwhelmed. The modern CS leader isn’t asking: “How do we manage more accounts?” They’re asking: "What should be automated?" "What deserves human depth?" "Where does AI remove friction?" "How do we turn tribal knowledge into systems?" The CSM role is moving from memory to infrastructure. From: - Manual follow-ups - Subjective health scores - High-touch by default To: - Usage-driven triggers - AI-generated insights - Segmented, intentional coverage models Not every account needs a CSM. Every account needs a success system. The future CSM is not a firefighter. Not a task manager. Not a friendly check-in machine. They are an operator. They read data. They design journeys. They influence product. They leverage AI agents to eliminate noise. CS is no longer a support function. It’s a revenue architecture layer. The teams that understand this will scale. The ones that don’t will burn out talented people trying to manually do what systems should handle. The real evolution? CS stopped being a role. It became a capability. A company-level capability. If success lives inside one person’s inbox, you’re fragile. If it lives inside systems, you’re scalable. That’s the difference between a team that survives and a company that compounds.

I analyzed 3,500+ CX job descriptions from this year, and the results confirm what many of us suspected: Customer Success & Support roles are more technical than ever. Here’s what’s changing: 🔴 𝐓𝐞𝐜𝐡 𝐢𝐬 𝐧𝐨𝐰 𝐚 𝐦𝐮𝐬𝐭-𝐡𝐚𝐯𝐞, 𝐧𝐨𝐭 𝐚 𝐧𝐢𝐜𝐞-𝐭𝐨-𝐡𝐚𝐯𝐞 → CRM, AI, and Salesforce dominate job descriptions. Employers want candidates skilled in automation, integrations, and reporting. 🔴 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐟𝐥𝐮𝐞𝐧𝐜𝐲 = 𝐦𝐚𝐣𝐨𝐫 𝐜𝐨𝐦𝐩𝐞𝐭𝐢𝐭𝐢𝐯𝐞 𝐞𝐝𝐠𝐞 → API, SQL, Python, and JIRA skills are in demand. CX teams are expected to query databases, troubleshoot integrations, and collaborate with product and engineering. 🔴 𝐑𝐨𝐥𝐞𝐬 𝐚𝐫𝐞 𝐛𝐞𝐜𝐨𝐦𝐢𝐧𝐠 𝐦𝐨𝐫𝐞 𝐬𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐳𝐞𝐝 → Support Engineer and Support Ops roles are on the rise, blurring the lines between customer support, product development, and technical operations. 🔴 𝐂𝐨𝐧𝐬𝐮𝐥𝐭𝐚𝐭𝐢𝐯𝐞 𝐂𝐗 𝐢𝐬 𝐭𝐡𝐞 𝐧𝐞𝐰 𝐬𝐭𝐚𝐧𝐝𝐚𝐫𝐝 → The word "training" appeared in 554 job descriptions, showing that many companies expect CX teams to onboard customers, educate teams, and drive product adoption. 𝐓𝐚𝐤𝐞𝐚𝐰𝐚𝐲: Build your technical skills. The industry is shifting toward data-driven, automation-friendly, and tech-integrated CX teams. Are you seeing this shift in your hiring process?

The generalist CSM model is becoming outdated. As customer needs grow more complex and outcome-driven, leading organizations are restructuring their Customer Success teams with specialized roles, smarter coverage models, and scalable engagement strategies to meet the moment. We’ve already seen the shift toward scaling Customer Success—now, we’re witnessing a new evolution: delivering high-touch, personalized experiences at scale. This transformation is accelerating the move away from the generalist CSM model. Here’s what we're seeing: 🔹 Strategic Value-based CSMs → Focus: Executive alignment, business outcomes, long-term value realization → Look for: Consultative thinkers, commercial acumen, relationship builders with enterprise experience 🔹 Adoption/Product Consultants → Focus: Driving usage, behavior change, and time-to-value → Look for: Enablement, change management, persona-based engagement 🔹 Technical Advisors → Focus: Deep technical guidance, product integration, onboarding success → Look for: Product depth, cross-functional collaboration, IT & DevOps fluency 🔹 Renewal Analysts → Focus: Churn prediction, risk mitigation, contract forecasting → Look for: Data-savvy, RevOps fluent, outcome-oriented The Shift in Models: From 1:1 to Scalable Coverage Organizations are also moving from traditional 1:1 account ownership to specialized and shared coverage models to drive efficiency and outcomes across the full customer base: 🔸 Dedicated (1:1): Best for top Strategic/Enterprise accounts needing white-glove services/custom planning 🔸 Pooled/Pod Models: Shared CSM resources based on triggers (e.g., lifecycle stage, risk signals), supported by playbooks and automation 🔸 Digital-Led: Tech-touch engagements at scale, powered by AI, in-product guidance, success centers, and lifecycle campaigns 🔸 Hybrid Models: Blend high-touch and digital support based on customer segmentation, value potential, or complexity Why Make the Shift? Because expecting one person to be a product expert, change manager, data analyst, and executive whisperer is unrealistic. Why condition your customers to expect high-touch support across every product—often delivered inconsistently—when you can instead scale the right expertise, at the right moment, through the right channels? Specialized roles and right-fit coverage models enable teams to scale effectively, align to customer needs, reduce burnout, and ultimately drive retention and growth. How is your team evolving to meet modern customer expectations? Which role or model has made the biggest impact? #CustomerSuccess #CSMStrategy #OrgDesign #DigitalCS #Scale #Leadership #PostSalesTransformation #CustomerExperience

In the past month I’ve spoken with execs of varying sized software companies, all sharing a very similar initiative for 2025: They’re pivoting their post-sales strategy from a traditional customer success motion, to more heavily focused on a consultative, revenue-generating account management org. And so, it got me thinking: 1) Why this shift is happening so much these days?, and 2) How should companies can go about successfully making this shift? (**post continued in the comments**) 1️⃣ WHY THIS IS HAPPENING Lets be clear - this isn’t a subtle change. It’s a deliberate and strategic response to broader shifts in how B2B tech companies operate and compete. It’s also tempting to say it’s just about maximizing revenue from existing accounts. Sure that's a big part of it, but the reality is deeper and more nuanced. First off, customer expectations are evolving. Your clients today aren’t looking for “responsive” CSMs—they need proactive business partners. They want vendors that understand their priorities, anticipate their needs, and deliver measurable outcomes. Most important - the want to grow their business through the solutions they've bought, and they need help doing so. In addition, buyers are more scrutinized than ever - renewal conversations are now treated with the same rigor as new sales discussions. CFOs, procurement teams, and executives want to see clear ROI before they renew or expand their spend. The pressure on YOUR champion to prove value to their own stakeholders has risen drastically, and they're passing that responsibility onto their vendors (eg. your CSM/ AM) Finally, the commoditization of features has changed the game. With technology advancing so rapidly, product differentiation between vendors is shrinking. So, the experience customers have AFTER purchase—how they’re supported, grown, and enabled—is becoming the key driver of competitive advantage. 2️⃣ HOW TO PURSUE THIS CHANGE Shifting to a revenue-driven, consultative post-sales model is not just about renaming roles from CSM to AM - it’s a systemic change in how the org operates. Here’s how to make it work: a) Audit Your Customer Journey: Start by mapping the current customer experience. Identify where value delivery breaks down—whether it’s onboarding, feature adoption, or renewal / expansion conversations. The goal is to pinpoint where your team can drive both customer outcomes and revenue opportunities. b) Up-skill Your Post-Sales Team with Sales Competencies: Moving to an account management team means equipping your post-sales reps with skills like business case development, strategic account planning, and ROI storytelling. For example, train your team on how to identify cross-sell opportunities by analyzing usage patterns or how to build expansion cases that align with the customer’s long-term goals.

I was listening to a panel of Customer Success (CS) leaders recently, and wow—this function is in the middle of a massive transformation! The world has shifted from growth at all costs to real focus on usage: In the last couple of years, every B2B company has struggled with customer retention even more than customer acquisition. You want to drive churn down? Usage. You want to drive downgrades down? Usage. You want to drive upgrades up? Usage. Customer Success needs to drive usage but also make sure that the entire company is focused on usage. CS leaders need to be more like marketers: They can’t just react to problems; they need to actively engage customers, much like marketers do. Proactive, engaging experiences build loyalty, not just putting out fires. The goal? Make CS as compelling and essential as your best marketing campaign. CS leaders need to go from operating in silos to orchestrating the entire customer journeys: Disconnected teams create disconnected experiences. CS leaders are stepping into a new role: journey orchestrators. They’re aligning sales, marketing, and support to deliver a seamless, cohesive customer journey. It’s no longer enough to excel at your piece of the puzzle—CS must ensure the whole puzzle comes together. CS leaders cant just deliver results on heroics, they need excellence in CS systems. Relying on heroic individual efforts isn’t sustainable. CS needs the right systems, tools, and data to operate at scale. Real-time product insights aren’t a nice-to-have—they’re a must. Excellence in systems, not just effort, is what will drive success in the age of usage. CS leaders have a tough job. So help them help you. Whether it’s investing in tools, aligning teams, or driving a culture of customer-centricity, the better your CS function, the stronger your business. 

🚨 The Hard Truth About Customer Success (aka as what I learned from looking in the mirror this past week) Here’s the uncomfortable truth: Most Customer Success Managers today aren’t really "doing" Customer Success. They’re often running renewals. They’re starting to chase expansions. They’re still solving tickets/customer issues. That’s Account Management in disguise, versus a healthy blend of the two disciplines (CSM+AM). And now comes the bigger challenge: AI is coming for those motions. 🩺 Health scores to help predict renewals? Automated. 📬 “How are things going?” emails to source for risk and growth opportunities? Automated. 📈 Data gathering and reporting to determine how well we're engaging and solving problems? Automated. If your CSM team is built around defensive renewals and low-value tasks, the future is clear: AI will do it faster, cheaper, and better. And as I looked in the mirror, I had to wonder: ⁉️ Is this what I've asked my CSM team to do this year? ⚡ So what should great CS leaders do next (aka get real with yourself, David)? To thrive in the AI era, Customer Success has to evolve: 1️⃣ Redesign roles around outcomes, not tasks. Make your CSMs strategic advisors who link product use to business value. Have I teed up our CSMs to speak to the core business impact of our product and solutions? 2️⃣ Build change management muscle. Train teams to drive adoption across complex organizations, not just manage accounts. Our customers need to think differently to make the most of our unique insights, and our teams need tools, playbooks, and space to help enable and drive that change. 3️⃣ Automate the “busy work.” Embrace AI to handle reporting, nudges, and playbook triggers so your people can focus where machines can’t. We've started that process, and now is the time to double down. 4️⃣ Elevate your metrics. Track ROI delivered, time-to-value, and advocacy, not just NPS or renewal risk. Again, we've started this process but need to ensure it gets priority against all the other competing pressures that pull on our amazing CSMs time. 5️⃣ Develop future-ready skills. Upskill your team in storytelling, financial fluency, and consultative leadership. These are the differentiators AI can’t replace. 🏁 The challenge for all of us. Stop rebranding Account Management as Customer Success, and vice versa. I'm more convinced than ever these two disciplines converge (QUICKLY) when it's the right fit for your GTM. It's the journey we are on at DISQO. And when your GTM doesn't call for it, stop pretending. Start building teams that engineer outcomes into the customer journey. Because here’s the reality: AI won’t kill Customer Success. Complacency will. #CustomerSuccess #Leadership #AI #FutureOfWork #CreateTheFuture #GrowthMindset #DigitalTransformation #CustomerExperience #Innovation #BusinessOutcomes

Customer Success Is Entering Its Strategic Era Customer Success is no longer fighting for legitimacy. It is fighting for clarity. As organizations mature, the question is no longer whether CS matters. The question is whether leaders are willing to let it operate as a strategic function instead of a reactive one. The future of Customer Success will be defined by three shifts. First, CS will move from account management to value orchestration. The strongest teams will stop tracking usage in isolation and start translating adoption into business outcomes that executives actually care about. Second, CS will become a primary signal for business health. Not through anecdotal feedback, but through disciplined operating models that connect customer behavior to revenue risk and opportunity early. Third, CS leaders will be expected to influence decisions far beyond their department. Product prioritization. Go to market strategy. Retention forecasting. CS will no longer be downstream. It will be embedded. Customer Success is becoming less about service and more about stewardship. Organizations that recognize this will scale with intention. Those that do not will continue to mislabel CS as a cost instead of a growth lever. #CustomerSuccess #CSLeadership #FutureOfCustomerSuccess #RevenueLeadership #ExecutiveLeadership #CS2026

Most Customer Success teams think they’re evolving. They’re not. They’re just doing the same job… faster. Right now, “AI in CS” looks like: • Call summaries • Email drafting • Notes filled in automatically Congrats — you saved 30 minutes. You didn’t change anything. Meanwhile, the best teams are quietly rebuilding the entire function. Not around CSMs. Around systems. Here’s the uncomfortable truth: Customer Success is no longer a people scaling problem. It’s a systems design problem. And the data is already pointing there: • Teams are shifting from activity → outcomes • GRR is overtaking NRR • Digital is becoming the default, not a segment • CS is moving under Revenue This is not a tweak. This is a rewrite. What’s actually happening behind the scenes: AI → finds risk + expansion signals Ops → turns signals into workflows Digital → executes at scale CSMs → step in only when it matters That’s the new stack. Now here’s where this goes next: 📍 2026 Most teams realize “AI for productivity” was a dead end. The shift begins toward AI for decision-making. Still messy. Still fragmented. But the direction is clear. 📍 2027 CS orgs split in two: Teams running: • AI-driven prioritization • Automated plays • Systematized coverage Teams still: • Manually reviewing accounts • Guessing where to focus • Hiring to keep up The performance gap becomes impossible to ignore. 📍 2028 The model fully flips: • AI agents handle onboarding + low-touch renewals • Every account is continuously monitored • “Next best action” is automated • CSMs become strategic advisors, not firefighters At this point, scaling CS with headcount alone looks insane. Here’s the part no one wants to say out loud: If your CS org still depends on humans to: • Read customer data • Spot risk • Decide what to do …it’s already broken. The winners won’t be the teams with better playbooks. They’ll be the teams that don’t rely on humans to run them. This isn’t about adding AI. It’s about replacing your operating model. And most teams haven’t even started. #AIPoweredCS #FutureOfCS

I spent the last 2 weeks mapping out how Customer Success is changing across 2024, 2025, and 2026. And a pattern jumped out immediately. 📌 In 2024, Customer Success looked like this: → Proving CS isn’t just support → Defending headcount during efficiency cycles → Chasing churn after it already showed up → Reporting on activity, NPS, and health scores that felt important Most CS teams were busy explaining their value instead of shaping outcomes. 📌 In 2025, Customer Success starts to shift: → Retention moves from “reported” to “forecasted” → Outcomes matter more than usage → AI supports analysis, not just automation → CS leaders are pulled into planning conversations earlier This is the uncomfortable middle. Old metrics stop working. New expectations aren’t fully defined yet. Here’s the pattern most people are missing: 📌 In 2026, CS won’t be judged on what it does. It will be judged on what it prevents. → Revenue leakage that never happens → Churn that never surprises Finance → Expansion that’s modeled, not hoped for → Fewer “why didn’t we see this coming?” conversations CS becomes less visible because the system works. And that’s the paradox. The better Customer Success gets, the quieter it looks on the surface and the more essential it becomes underneath. By 2026, CS isn’t fighting for a seat at the table. It’s shaping the questions leadership asks before decisions are made. That’s the shift.