Strategy and GrowthRevenue Operations
What if your company’s next growth problem isn’t in sales?
As a company grows, so do its processes, teams, data and technology. The problem begins when that complexity grows faster than the organization’s ability to manage it. RevOps offers a different way to look at growth: not as the sum of marketing and sales, but as a system.
When a company needs to grow, the first instinct is usually to look at sales. Do we need more opportunities? More salespeople? A bigger pipeline? Better conversion? It makes sense. But it can also lead to the wrong diagnosis, because a company can have a strong sales team and still have a growth problem.
The problem may lie in how Marketing generates and hands off demand. In what Sales promises before the close. In how Delivery receives the client. In data that doesn’t match across systems. In processes that depend on specific people. In technology that adds complexity instead of reducing it. Or in an organization that kept adding capabilities without designing how they should work together. In that scenario, selling more doesn’t necessarily solve the problem. It can amplify it. That is the conversation Revenue Operations opens up.
Revenue Operations (RevOps) is the discipline that designs and manages the system through which an organization turns market opportunities into sustainable revenue. It connects strategy, marketing, sales, delivery, customer success, processes, data and technology under a single decision-making logic.
Growth creates silos before silos stall growth
Companies organize by function for a logical reason: specialization. Marketing builds marketing capabilities. Sales builds commercial capabilities. Operations builds delivery capacity. Customer Success manages the relationship once the deal is closed. Each team goes deep in its own field and, for a while, that works very well.
The problem begins when specialization turns into fragmentation. Each function starts to see a different slice of reality: Marketing sees demand; Sales, the pipeline; Operations, capacity; Customer Success, retention; Finance, profitability. Each one is right within its own boundaries. None of them sees the whole business. And leadership is left with an increasingly difficult task: rebuilding the entire company from partial perspectives.
In a small company, that rebuilding happens almost effortlessly. The founders are in every conversation, the team shares an office or a chat channel, and coordination happens informally. But informal coordination doesn’t scale. As more people, markets, products, channels, tools and processes come into play, what used to be solved with a conversation starts to require meetings, reconciliation spreadsheets and people dedicated to translating what one team says to another.
The structure that enabled growth can become the structure that prevents scale.
In Revenue Architecture, Jacco van der Kooij argues that the departmental model tends to produce exactly these effects: silos, duplicated effort, coordination problems and a lack of alignment among teams that, in theory, pursue the same goal. Stephen G. Diorio and Chris K. Hummel reach a similar conclusion in Revenue Operations: marketing, sales and service shouldn’t be managed as disconnected components, because growth depends on them working as a system.
The practical consequence is less obvious than it seems. The problem isn’t that departments exist. The problem begins when the company optimizes departments instead of optimizing the system that produces revenue.
Growth
More revenue, more clients, more activity. The resources required grow at the same pace.
Scalability
More output without a proportional increase in costs, people or complexity.
Conceptual illustration. Source: Advisent®.
RevOps isn’t just about aligning Marketing, Sales and Customer Success
The most common definition of RevOps says it’s about aligning marketing, sales and customer success. It’s accurate, but incomplete. It describes a desirable symptom (alignment) without explaining what produces it or what sustains it as the company changes.
A more useful definition for leadership is this: Revenue Operations is the discipline that designs and manages the system through which an organization turns market opportunities into sustainable revenue. Seen this way, RevOps isn’t a sales support function. It spans strategy and processes, people and data, technology and the way decisions are made. It touches marketing, sales, customer success and delivery, but also pricing, forecasting, automation, governance and, increasingly, the use of artificial intelligence.
Gartner reached a similar conclusion from its analysis of commercial organizations. In 2021, it described the RevOps model as an end-to-end approach: instead of functions handing clients off to one another while using different technologies, people and processes, leading organizations align the technology, data and KPIs of sales, marketing and customer success to gain a complete view of the revenue engine, under a single go-to-market model.1
The difference isn’t semantic. If RevOps is an expanded version of Sales Ops, the conversation ends with the CRM and the reports. If it’s the discipline that designs how the company produces revenue, the conversation starts much earlier: with who the company sells to, what it promises and how it delivers.
The funnel explains the sale. It doesn’t necessarily explain revenue
For service companies, this distinction is critical, because much of the value is created (or destroyed) after the contract is signed.
Imagine a consulting firm that sells a USD 50,000 project. Sales hits its target. The CRM marks the opportunity as won. The dashboard adds the revenue to the quarter. So far, everything points to a good sale.
Then a different story begins. The scope was poorly defined. Some promises made during the negotiation turn out to be hard to deliver. The handoff between sales and delivery is weak, and the delivery team discovers in the first week what the client takes for granted. The project consumes more hours than budgeted, the margin shrinks and the client ends up dissatisfied. There’s no renewal, no expansion and no referral.
Was it a good sale? From the pipeline’s perspective, yes. From the revenue system’s perspective, probably not.
The classic sequence of lead, opportunity, proposal and close describes how a contract is won, but it falls short of explaining how economic value is created. In services, the relevant cycle is longer: it starts with the market and demand, moves through qualification and the sale, and continues with onboarding, delivery, retention, expansion and advocacy.
- What the sales funnel measures
- What determines whether the sale created value
- 01MarketWhere to compete
- 02DemandGenerate qualified interest
- 03QualificationChoose who to sell to
- 04SaleAgree on scope, price and promise
- Closed WonThis is where the traditional sales funnel ends
- 05OnboardingTransfer context and expectations
- 06DeliveryDeliver on the promise, with margin
- 07RetentionSustain the relationship
- 08ExpansionGrow the value of the account
- 09AdvocacyTurn clients into references
Every transition carries information, ownership, cost and conversion. Source: Advisent®.
Every transition in that sequence carries information that can be lost, has an owner (or should), involves a cost and a conversion rate, and can create or destroy value. Those handoffs are where much of the revenue leakage happens: revenue the company had already won in the market and then loses to internal friction, eroded margins or clients who don’t renew.
A company can have a revenue problem that never shows up on its sales dashboard.
The optimization paradox
There’s an uncomfortable idea at the heart of RevOps: every department can improve its metrics while the company gets worse as a system.
Marketing can lower its cost per lead by increasing volume at the expense of quality. Sales can improve its conversion rate by offering terms that erode margin. Operations can raise team utilization by reducing its flexibility to handle the unexpected. Customer Success can bring churn down through discounts. Finance can cut costs by restricting the capacity everyone else needs to grow.
Each of these decisions is rational from where it’s made. Each owner can back it up with data. And yet the combined result can be irrational: more leads that don’t buy, more sales that leave no margin, more retained clients who aren’t profitable.
Optimizing every part doesn’t guarantee optimizing the system.
What RevOps ultimately changes is the unit of analysis. The question is no longer how to improve each department, but which combination of decisions produces the best economic outcome across the entire revenue lifecycle. It’s a harder question, because it forces the company to accept that sometimes one team has to let one of its own metrics slip so the company as a whole can improve. But it’s the only question that makes it possible to manage growth for what it is: a collective outcome.
LATAM is digitizing its companies. That doesn’t mean it’s integrating them
Recent regional evidence points to a tension that many Latin American organizations will recognize. ManageEngine’s study on digital transformation in Latin America, based on a survey of 1,000 business and IT decision-makers in Brazil, Mexico, Colombia, Chile and the Dominican Republic, describes companies that adopted technology at high speed and now face the cost of that accumulation.2
Source: ManageEngine, Digital Transformation Landscape in Latin America 2026. Survey of 1,000 decision-makers in five countries.
These figures should be read precisely: they describe the organizations surveyed, not every company in the region. Even so, the pattern is telling. Among the participants, technology adoption doesn’t appear to be the main problem. The difficulty lies in what happens next.
Digitization and integration are different problems.
Every department can digitize successfully and, at the same time, make the company more fragmented. Marketing adopts its automation platform; Sales, its CRM and prospecting tools; Delivery, its project management software; Finance, its ERP. Each decision improves local productivity. But if no one designs how those tools share information and which definition of the client prevails, the company ends up with more data and less certainty. The technology challenge is no longer just adoption. It’s orchestration.
Artificial intelligence makes RevOps more important, not less
Artificial intelligence is rapidly reducing the cost of tasks that until recently took up much of a sales team’s time: account research, prospecting, lead scoring, message personalization, forecasting, reporting, customer support, conversation analysis, content production and workflow automation, including agents capable of running entire sequences.
It’s tempting to conclude that technology will solve coordination problems on its own. Experience suggests otherwise. Automating a broken process doesn’t make it a good process; it just runs it faster and at greater scale.
Source: Salesforce, State of Sales, 7th edition (2026). Survey of 4,050 sales professionals in 22 countries.3
Salesforce’s data points in the same direction as the regional study: the obstacle to getting value from AI isn’t just a lack of tools, but too many of them, poorly connected.
AI on top of a fragmented architecture doesn’t necessarily create intelligence. It can create automated fragmentation.
The questions that follow are less technological than they seem. If different systems hold different versions of the same client, which one does the agent use? If Marketing and Sales define an opportunity differently, what does the model learn? If the process is poorly designed, what exactly are we optimizing? And if the company doesn’t know where it’s losing revenue, what should AI be trying to improve?
None of these questions is answered by buying software. They’re answered by defining how the business works. That’s why the relationship between RevOps and artificial intelligence is one of dependence: AI amplifies the quality — or the lack of quality — of the architecture it runs on. And the ability to automate is growing faster than many organizations’ ability to decide what’s worth automating.
The company that buys is changing too
While organizations debate how to integrate their teams, their clients have already changed how they buy. A Gartner survey of 646 B2B buyers, published in March 2026, found that 67% prefer a rep-free buying experience and 45% used artificial intelligence during a recent purchase.4
It would be a mistake to read those numbers as the end of consultative selling. In May 2026, Gartner reported that 69% of B2B buyers prefer to validate AI-generated insights with sales reps.5 Buyers don’t want to do without people; they want them to show up at the right moment and bring something they couldn’t find on their own.
What buyers expect is a demanding combination: autonomy and expertise, digital channels and human conversation, speed and context. That experience can’t be designed from a single department. If the content the client reads says one thing, the salesperson another and the delivery team a third, the inconsistency becomes visible immediately.
Clients don’t experience the org chart. They experience a company.
From departments to architecture
If the problem is one of design, the solution can’t start with technology. Yet many RevOps initiatives start exactly there, with the question of which software to implement. It’s one of the reasons why implementing a CRM isn’t the same as implementing RevOps.
The right starting questions are different. How does this business produce revenue? What journey turns an opportunity into a profitable client? Which processes make that journey possible? What information is needed at each stage? How is the performance of the whole measured? Only then does it make sense to ask which technology can help execute it better.
That change in sequence is at the core of what van der Kooij calls Revenue Architecture. In his book, the author organizes the design of a recurring revenue business into six interdependent models: the revenue model, the data model, the mathematical model, the operating model, the growth model and the go-to-market model. The framework belongs to van der Kooij; what matters for leadership is its premise: revenue is the outcome of an architecture that can be designed, measured and improved, not the spontaneous sum of each team’s effort. Advisent®’s interpretation is straightforward: technology should be a consequence of the business architecture, not a substitute for it.
Before: independent silos
- Marketing
- Sales
- Delivery
- Customer Success
- Data
- Technology
Each team optimizes its own goals, data and tools.
After: one connected system
Revenue System
- Marketing
- Sales
- Delivery
- Customer Success
- Data
- Technology
Shared definitions, ownership, metrics and information across the lifecycle.
Source: Advisent®.
Advisent® Revenue System™
To work through these questions with leadership teams, Advisent® uses a proprietary framework: the Advisent® Revenue System™. It isn’t an academic theory, nor does it claim to be. It’s a diagnostic framework for analyzing how the strategic, commercial and operational decisions that produce revenue connect with one another. It’s organized into five layers, each tied to a management question.
- 1StrategyWhere and how do we want to grow?
- 2Revenue JourneyHow does an opportunity become economic value?
- 3OperationsWho does what, when, with what information and under what criteria?
- 4IntelligenceWhat do we need to know to make better decisions?
- 5EnablementWhich technology capabilities help us run the system better?
People and Governance cut across all five layers. Proprietary diagnostic framework. Source: Advisent®.
Strategy: where and how to grow
The first layer defines the playing field: market, ideal customer profile, segmentation, value proposition, positioning, pricing, go-to-market model and growth objectives. Many failures that surface further down, in the pipeline or in delivery, originate here: clients who should never have been sold to, or prices that don’t reflect the true cost to serve.
Revenue Journey: from opportunity to economic value
The second layer describes the full journey: demand, qualification, sale, onboarding, delivery, retention and expansion. It’s the operational translation of the revenue lifecycle and the place where the handoffs that, in Figure 2, separate a sale from a profitable client become visible.
Operations: who does what, when and under what criteria
The third layer brings the journey down to execution: processes, ownership, handoffs, service level agreements between teams, responsibilities and governance. This is the layer where coordination stops depending on goodwill and starts depending on design.
Intelligence: what we need to know to decide better
The fourth layer brings together data, KPIs, attribution, forecasting, unit economics, dashboards and customer intelligence. Its purpose isn’t to produce more reports, but a shared reading of the business, often called revenue intelligence.
Enablement: technology in service of the system
The fifth layer includes CRM, automation, integrations, business intelligence, sales technology, artificial intelligence and agents. It sits deliberately at the end: its role is to enable decisions made in the layers above.
Two dimensions cut across all five layers. People: the capabilities, roles and incentives that make the design work in practice. And Governance: who decides, under what rules and on what cadence the system is reviewed.
Technology should enable the architecture. Not define it.
Does your company need RevOps?
The question is often framed the wrong way. A company doesn’t necessarily need a RevOps department; it may need the discipline before the function. For many mid-sized organizations, the first step isn’t hiring a team, but adopting a different way of designing and governing growth, whether through internal capabilities or a RevOps as a Service model.
If your company wanted to double its revenue tomorrow, could it do so with its current architecture?
Some signals help answer that. Marketing and Sales use different definitions for the same concept. There’s no single reliable source of data. Sales doesn’t know what happens after the close, and Delivery doesn’t know what was promised before it. Forecasting relies too heavily on individual judgment. The company measures leads but doesn’t know how many profitable clients each channel generates. Automations operate as islands. Dashboards show different versions of the business. No one can clearly identify where revenue is being lost. And every new problem is solved with a new tool.
A single signal doesn’t prove a RevOps problem. The combination may indicate that the system is losing coherence as it grows. That’s the starting point for assessing whether your company is ready for RevOps.
Don’t start by transforming the entire company
Once the problem is identified, the temptation is to design a comprehensive transformation. It’s usually a mistake. Diorio and Hummel argue that revenue transformations work better as a sequence of connected, executable, financially meaningful and scalable actions than as a monolithic program. The order matters as much as the content.
The first move is to understand before intervening: map the revenue lifecycle as it actually works today (not as it appears in the corporate presentation) and identify where revenue is being lost. That diagnosis often reveals that the biggest losses aren’t where the organization was looking for them.
The second move is to build a common language. Unify definitions (what a qualified lead is, when an opportunity advances, what an active client means), assign clear owners to every stage and every handoff, and establish shared metrics that require teams to look at the same outcome. Without this step, any later investment in technology reproduces the existing fragmentation.
Only then does it make sense to work on the infrastructure: design the data architecture, audit the technology stack to find out what’s redundant, what’s missing and what overlaps, and integrate the systems that need to share information. Automation comes next, applied to processes that are already stable; automating a process that still changes every month only multiplies rework.
Artificial intelligence finds its place at that point, where it increases the team’s capacity, the speed of execution or the quality of decisions, not as an end in itself. The cycle closes with measurement and iteration: a revenue system isn’t implemented once; it’s governed continuously.
Growing isn’t the same as building a company that can grow
Van der Kooij proposes evaluating a business’s performance across three simultaneous dimensions: growth, efficiency and customer impact. The idea, which belongs to his Revenue Architecture framework, is useful precisely because it prevents looking at a single variable.
A company can increase its revenue and reduce its margin. It can add clients and, at the same time, increase its churn. It can accelerate acquisition and erode the experience of existing clients. It can automate more and control less. In all of these cases, the headline metric goes up and the company becomes more fragile.
The answers to those questions separate a company that has grown from a company that can grow. The first depends on favorable conditions and extra effort. The second has a system that turns opportunities into value in a repeatable way.
The next growth leap may not require more marketing, more salespeople or more technology
It may require better architecture. A company can have good marketing and good sales and still have a weak revenue system. It can have a good CRM with unreliable data. Plenty of automation on top of poorly designed processes. Plenty of artificial intelligence and little clarity about what it should solve.
The shift RevOps proposes can be summed up in five moves: from departments to systems; from activity to outcomes; from acquisition to lifecycle; from tools to architecture; from growth to sustainable growth.
Does the organization have a system capable of turning more opportunities into more value without multiplying its complexity at the same time?
The next growth leap doesn’t always require adding something new. Sometimes it requires everything the company has already built to start working as a single system.
Frequently asked questions about RevOps
What is RevOps?
RevOps, or Revenue Operations, is the discipline that designs and manages the system through which an organization turns market opportunities into sustainable revenue. It brings strategy, marketing, sales, delivery, customer success, processes, data and technology together under shared definitions, ownership and metrics, so growth becomes more predictable, efficient and scalable.
What is the difference between RevOps and Sales Ops?
Sales Ops focuses on running the sales team: territories, quotas, CRM, reporting and sales productivity. RevOps has a broader scope: it covers the entire client lifecycle, from demand generation to delivery, retention and expansion, and aims to optimize the economic outcome of the whole rather than the performance of a single department.
Is RevOps only for SaaS companies?
No. RevOps became popular in software companies, but it applies to any organization with a recurring sales process. It is especially relevant for B2B service companies, because much of the value is won or lost after the close: in the agreed scope, in the handoff to delivery, in project margin and in renewal.
Does a company need a RevOps team?
Not necessarily. Many companies need the discipline first and the function later. Adopting RevOps means agreeing on shared definitions, assigning owners to each stage of the revenue cycle and measuring shared outcomes. That can be driven by an in-house team, a dedicated owner or external support, depending on the organization’s size and complexity.
How are RevOps and artificial intelligence related?
Artificial intelligence reduces the cost of tasks such as prospecting, scoring, forecasting, reporting and customer support, but its results depend on the quality of the processes and data it runs on. RevOps provides that foundation: consistent definitions, integrated information and stable processes. Without it, AI tends to automate existing fragmentation instead of resolving it.
How can you tell if a company needs RevOps?
Common signals include different definitions between Marketing and Sales, no single source of data, forecasts that depend on individual judgment, a disconnect between what is sold and what is delivered, and dashboards that show different versions of the business. One signal alone isn’t enough; a combination of several usually points to a system problem.
Sources and further reading
Research sources
- Gartner. “Gartner Predicts 75% of the Highest Growth Companies in the World Will Deploy a RevOps Model by 2025.” Press release, May 17, 2021. gartner.com
- ManageEngine. Digital Transformation Landscape in Latin America 2026. Survey of 1,000 business and IT decision-makers in Brazil, Mexico, Colombia, Chile and the Dominican Republic. manageengine.com
- Salesforce. State of Sales, 7th edition, 2026. Survey of 4,050 sales professionals in 22 countries, conducted August–September 2025. salesforce.com
- Gartner. “Gartner Sales Survey Finds 67% of B2B Buyers Prefer a Rep-Free Experience.” Press release, March 9, 2026. Survey of 646 B2B buyers, August–September 2025. gartner.com
- Gartner. “Gartner Survey Finds 69% of B2B Buyers Turn to Sales Reps to Validate AI-Generated Insights.” Press release, May 20, 2026. businesswire.com
Conceptual bibliography
- Stephen G. Diorio and Chris K. Hummel. Revenue Operations: A New Way to Align Sales & Marketing, Monetize Data, and Ignite Growth.
- Jacco van der Kooij. Revenue Architecture.
- Brent Keltner. The Revenue Acceleration Playbook.
Advisent® Revenue System™ is a diagnostic framework developed by Advisent®. The Revenue Architecture models and the dimensions of growth, efficiency and customer impact belong to Jacco van der Kooij.
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