Table of Contents >> Show >> Hide
- What “Traditional Customer Success” Used to Mean
- Why Traditional Customer Success Is Dying (And Why It’s Not Coming Back)
- The CCO Era: Customer Success as a Company-Wide Growth System
- Slack: The Signal Is Loud When You Hire a CCO
- MuleSoft: When the Product Is “Integration,” Success Must Be Outcomes-First
- OpenAI: The “CCO” Pattern Shows Up When Revenue Leaders Own Customer Success
- The New Customer Success Playbook (CCO Edition)
- Metrics That Prove Customer Success Is Working
- How to Transition Without Starting a Civil War Inside Your GTM Team
- Conclusion: Traditional CS Is DeadLong Live Customer Growth
- Experience Notes: 6 Real-World Patterns That Prove the Shift
- 1) The “Check-In Trap” quietly destroys credibility
- 2) Expansion works best when it’s framed as “the next outcome,” not “the next SKU”
- 3) The strongest CS teams treat usage data like a language they’re fluent in
- 4) Executive alignment is still human work (and it’s worth guarding)
- 5) “Customer Success owns renewals” often backfires unless the model supports it
- 6) The most common “modern CS” failure is trying to transform without changing incentives
Traditional Customer Success isn’t “dead” in the horror-movie sense. It’s dead in the “the old job description no longer pays rent” sense.
The era of Customer Success as a polite renewals nudge (“Just checking in 😄”) is getting replaced by something sharper, more measurable, and a lot more
tied to growth. And when companies start appointing true customer executivesChief Customer Officers (CCOs) at Slack and MuleSoft, plus OpenAI’s revenue
leader explicitly owning customer successyour clues are basically neon.
In 2026, software buyers don’t want a relationship. They want outcomes, adoption, value realization, and proof that the thing they bought is actually being used
by actual humans. The modern customer leader isn’t running a “support-adjacent” team. They’re orchestrating the post-sale growth system: onboarding,
enablement, usage, expansion, renewal, and advocacypowered by data, automation, and (increasingly) AI.
What “Traditional Customer Success” Used to Mean
Let’s define the old model before we bury it with honors:
- CS as a renewals department: The team was measured on churn prevention, not growth.
- CS as a meeting factory: Lots of check-ins, not enough behavior change inside the customer’s org.
- CS as a sidecar: Sales closed the deal; product shipped features; support handled fires; CS was the friendly glue.
- CS as “high-touch for everyone”: Which sounds noble until you try to scale it past 200 accounts.
None of this was evil. It just belonged to an earlier SaaS phase, when growth was easier, competition was lighter, and “renewal risk” wasn’t discussed like a
thriller novel in board meetings.
Why Traditional Customer Success Is Dying (And Why It’s Not Coming Back)
1) Buyers don’t renew feelingsthey renew value
CFO scrutiny is up, procurement is tougher, and “nice vendor” doesn’t survive budget cuts. Customers renew when the product is embedded in workflows, tied to
outcomes, and defended internally by acknowledging real ROI (time saved, revenue created, risk reduced, or cost avoided).
2) Net Revenue Retention (NRR) became the scoreboard
Modern SaaS math rewards expansion, not just survival. That’s why the most important “success” conversation isn’t “How do we prevent churn?” but
“How do we drive adoption that naturally expands usage over time?” When NRR is the headline metric, CS can’t be a cost center. It has to be a growth engine.
3) Product-led growth rewired the customer journey
In a product-led world, the product is doing more of the selling: trials, freemium, viral sharing, in-app onboarding. That means CS can’t rely only on a
handoff from Sales. CS has to read product signals, intervene at the right moment, and convert usage into durable enterprise value.
4) Tech stacks got messier, so “outcomes” got harder
Customers aren’t just “using a tool.” They’re integrating it into identity, security, data flows, governance, and cross-functional processes. That reality
forces CS to become a coordinating function that can align product, services, support, and sales into one coherent path to value.
5) AI changed expectations for speed and scale
Customers now expect faster onboarding, instant answers, smarter enablement, and proactive insights. Meanwhile, CS teams are expected to do more with fewer
humans. That pushes CS toward automation, digital programs, and AI-assisted playbookswithout losing the human layer where it counts.
The CCO Era: Customer Success as a Company-Wide Growth System
Here’s the big shift: a modern Chief Customer Officer (or an equivalent leader with CS in their remit) doesn’t “own renewals.”
They own the machine that produces renewals and expansion.
Traditional CS: “Did they churn?”
Modern CS under a CCO: “Did they achieve outcomes, adopt deeply, expand naturally, and become a reference?”
That sounds subtle, but it changes everything: org design, incentives, tooling, and the relationship between CS and the rest of go-to-market (GTM).
Slack: The Signal Is Loud When You Hire a CCO
Slack made the shift explicit by naming its first Chief Customer Officer, Peter Doolan. That move matters because titles reflect priorities. A CCO is
an executive-level bet that customer outcomes and post-sale growth are strategic, not supportive.
What Slack’s CCO-style approach represents
- Value realization as a discipline: Slack (as part of Salesforce) formalized value realization thinkingmeasuring and communicating the value teams get from Slack.
- Adoption over activity: Modern collaboration tools succeed when behavior changes: channels replace email, workflows replace status meetings, and knowledge becomes searchable.
- Expansion as the “result,” not the “ask”: In many SaaS models, expansion happens when usage becomes unavoidable.
One of the most practical takeaways from the Slack school of thought is this: if your contract structure or commercial model allows it, CS should spend more
time engineering adoption than negotiating renewal friction. When customers can clearly defend the tool internally, renewals get easierand expansion shows up
like a happy accident that you actually designed.
MuleSoft: When the Product Is “Integration,” Success Must Be Outcomes-First
MuleSoft’s world is not “click a button and feel productive.” Integration and automation are foundational. That means customers only feel value when the
platform is connected to real systems, used by real teams, and delivering real business outcomes (faster launches, fewer manual processes, cleaner data flows,
safer governance).
MuleSoft has publicly used the Chief Customer Officer title in its leadership ecosystem, including speaker materials for MuleSoft CONNECT 2022 (where Terry Tripp
was listed as Chief Customer Officer). Titles aside, what matters is the operating philosophy: customer success has to drive value realization across
complex implementations.
Why MuleSoft-style CS kills the “renewals-only” model
- Time-to-value is not optional: If integrations stall, customers don’t “pause.” They churn or downshift.
- Success is cross-functional: CS must coordinate services, support, partner ecosystems, and customer engineering.
- Expansion is built into maturity: Once one business unit succeeds, the next one wants in. That’s expansion driven by outcomes.
In other words: if your product is infrastructure, CS can’t survive as a calendar-and-churn function. It has to be a programmatic engine that drives delivery,
adoption, and executive confidence.
OpenAI: The “CCO” Pattern Shows Up When Revenue Leaders Own Customer Success
OpenAI is a special case that proves the rule. While “Chief Customer Officer” isn’t the headline title in recent announcements, OpenAI appointed Denise Dresser
as Chief Revenue Officer with a scope that explicitly includes enterprise and customer success. That’s a big deal.
Translation: customer success isn’t parked in the corner as a cost center. It’s part of the commercial growth system.
In fast-scaling enterprise businessesespecially with transformational tech like AIcustomer success becomes inseparable from revenue strategy:
adoption, governance, risk management, and measurable value are what turn curiosity into long-term contracts.
Why OpenAI’s approach accelerates the end of “traditional CS”
- AI outcomes are measurable (and expected): Productivity gains, time saved, and workflow transformation can be tracked.
- Enterprise adoption requires trust: Security, privacy, compliance, and governance are success requirements, not “nice-to-haves.”
- Change management is the product: You’re not just shipping a tool; you’re changing how knowledge work happens.
When your CRO is accountable for customer success, the org is effectively saying: “Renewals and expansion will be earned through outcomes at scale.”
That’s the modern CCO mindset, even if the title on the business card differs.
The New Customer Success Playbook (CCO Edition)
If the old playbook is dead, what replaces it? Here’s the modern version that CCOs and CS-forward CROs tend to build:
1) Segment your customers like a grown-up
Not every account needs high-touch. The modern model uses tiers and routes customers into the right motion:
tech-touch (digital), pooled CSM, named CSM, strategic/enterprise pods, or services-led.
2) Instrument the product and treat usage like truth serum
CS can’t run on vibes. You need telemetry: activation, feature adoption, depth of use, breadth across teams, and signals of stagnation.
Health scoring should be actionable, not decorative.
3) Define “value realization” in plain English
Customers don’t buy “features.” They buy outcomes. A CCO-led org defines value plays (time savings, cost reduction, risk reduction, revenue lift),
ties them to customer goals, and then measures progress.
4) Build expansion into the success plan (without making it gross)
Expansion shouldn’t feel like a surprise pitch. It should feel like the next logical step on the customer’s roadmap:
“Now that Team A achieved X, Team B can achieve Y faster.”
5) Use AI to scale the boring parts, not the important parts
AI is perfect for summarizing usage trends, drafting QBR narratives, answering repetitive questions, routing tickets, and triggering playbooks.
Humans should handle executive alignment, complex change management, and high-stakes outcomes.
Metrics That Prove Customer Success Is Working
If you want CS to be treated like a revenue engine, you have to measure it like one. Here are modern, board-friendly metrics:
| Metric | What It Tells You | Why It Matters Now |
|---|---|---|
| NRR (Net Revenue Retention) | How much existing customers grow (or shrink) | Signals whether success drives expansion, not just survival |
| GRR (Gross Revenue Retention) | How well you retain revenue excluding expansion | Shows foundational retention health |
| Time-to-Value | How fast customers reach meaningful outcomes | Shorter time-to-value lowers churn and boosts advocacy |
| Adoption Depth & Breadth | How embedded the product is across use cases/teams | Predicts renewals and expansion more reliably than meeting counts |
| Outcome Attainment | Progress toward customer-defined goals | demonstrates real ROI and strengthens renewal justification |
How to Transition Without Starting a Civil War Inside Your GTM Team
Killing “traditional CS” doesn’t mean firing your team. It means redesigning their mission, tools, and incentives.
Here’s a practical transition plan:
- Clarify ownership: Who owns renewals? Who owns expansion? Who owns outcomes? Ambiguity breeds turf wars.
- Redesign roles: Separate onboarding specialists, pooled CS, strategic CS, and services where needed.
- Update compensation: Pay for outcomes and growth signals (NRR, expansion influence), not just activity.
- Standardize success plans: Make them outcome-based, measurable, and shared with the customer.
- Operationalize QBRs: Less slide theater, more usage evidence, ROI, and next-step roadmap.
The punchline: the best CS orgs aren’t “nicer.” They’re clearer. Clear goals, clear data, clear ownership, clear value.
Conclusion: Traditional CS Is DeadLong Live Customer Growth
Slack’s CCO move signals that customer outcomes deserve executive ownership. MuleSoft’s CCO pattern reflects how complex platforms require
success leadership that can drive adoption and measurable impact. OpenAI’s revenue leader explicitly owning customer success shows where this is headed:
customer success is becoming inseparable from the commercial engine.
So yestraditional customer success is dead. But what replaces it is better:
a modern, data-driven, outcomes-first customer growth function that earns renewals by making the product indispensable.
Experience Notes: 6 Real-World Patterns That Prove the Shift
Below are experience-based patterns (built from common SaaS operating realities and widely shared best practices), written in the “this is what actually happens”
tone you hear after the cameras turn off. No fairy tales. No “10x overnight” nonsense. Just the stuff that keeps showing up when companies try to evolve beyond
traditional Customer Success.
1) The “Check-In Trap” quietly destroys credibility
A lot of teams start with good intentions: weekly calls, friendly follow-ups, and lots of “How’s it going?” energy. Then customers get busy, attendance drops,
and CS starts sounding like a calendar reminder with a pulse. The moment customers feel like meetings exist to protect your renewal, not to accelerate their
outcomes, your influence shrinks. Modern CS flips the script by showing up with evidence: usage trends, adoption blockers, stakeholder maps, and a single
recommended next step that moves the customer toward a defined outcome.
2) Expansion works best when it’s framed as “the next outcome,” not “the next SKU”
The most effective expansion conversations don’t start with pricing. They start with progress: “You achieved X in Team Ahere’s how to replicate that success
for Team B.” Customers rarely wake up excited to buy more software. But they do wake up excited to solve a painful problem faster. When CS ties expansion to
operational winsfewer manual handoffs, faster approvals, lower risk, fewer errorsexpansion feels like momentum, not pressure.
3) The strongest CS teams treat usage data like a language they’re fluent in
High-performing CS orgs don’t just “check dashboards.” They translate signals into actions. A drop in weekly active usage becomes an outreach play with a
hypothesis (“New workflow launched, but enablement didn’t reach frontline users”). A spike in one feature becomes an internal alert to Sales (“This account is
behaving like the accounts that expand into the enterprise tier”). Customers can argue with opinions. They rarely argue with their own behaviorespecially when
you present it respectfully and connect it to their goals.
4) Executive alignment is still human work (and it’s worth guarding)
AI can automate summaries, draft QBR narratives, and identify risk signals. But executive alignment remains a human sport. When a deal is strategic, the success
leader has to build trust with sponsors, navigate politics, and align multiple departments on what “success” means. This is where CCO-style leadership matters:
it creates a consistent executive rhythmclear outcomes, clear scorecards, clear next stepsso customers feel like they’re partnering with an organized company,
not a collection of disconnected departments.
5) “Customer Success owns renewals” often backfires unless the model supports it
In many companies, CS owning renewals sounds efficientuntil you realize renewal conversations can hijack the entire customer relationship. When CS is forced to
spend most of its time negotiating terms, chasing signatures, and managing procurement friction, it has less time to drive adoption. Some businesses solve this
by splitting roles (CS drives outcomes; a renewals manager runs procurement). Others keep CS involved but protect their bandwidth with automation and clear
escalation paths. The rule of thumb: don’t let renewal mechanics consume the people responsible for customer outcomes.
6) The most common “modern CS” failure is trying to transform without changing incentives
Teams announce a new strategy“We’re outcomes-first now!”but still reward the old behaviors: meeting volume, shallow QBRs, and renewal save rates.
Then everyone wonders why nothing changes. The organizations that actually evolve tie compensation and performance to modern indicators:
time-to-value improvements, adoption milestones, NRR influence, referenceability, and measurable outcome attainment. People don’t ignore strategy because
they’re bad. They ignore it because the scoreboard still belongs to the old world.
Put these patterns together and you get the real reason traditional Customer Success is dying: it’s too vague, too manual, and too disconnected from the
metrics that companies now live and die by. CCOs (and CROs who own customer success) are the organizational responsean attempt to turn customer success into a
measurable, scalable growth system.