Most mid-market companies have a version of this problem: marketing measures MQLs, sales measures closed deals, and customer success measures NPS. Each team believes it is performing. The CEO looks at the aggregate and wonders why revenue is not growing as fast as the individual team dashboards suggest it should be. That gap is a RevOps problem. Revenue Operations is the function built to close it.
Revenue Operations, or RevOps, has moved from a buzzword to a business imperative in a remarkably short window. What started as an experiment in SaaS companies trying to connect their sales and marketing data has become one of the most consequential organizational decisions a mid-market CEO or PE operating partner can make. The data behind that claim is clear, and the case for acting on it is getting harder to ignore.
What RevOps Actually Is
Revenue Operations is the organizational function that aligns marketing, sales, and customer success around shared data, shared processes, and shared accountability for revenue outcomes. It is not a technology stack. It is not a rebrand of sales operations. It is a structural decision to stop letting the functions that drive revenue operate independently, with different metrics, different tools, and different definitions of a qualified lead.
Gartner defines RevOps as a 'buyer-centric go-to-market operation' that integrates the people, processes, and technology of marketing, sales, and customer success into a unified system optimized for revenue predictability and growth.[1] The practical translation: RevOps means that every team sees the same data, uses the same definitions, and is measured against the same revenue outcome, not their own departmental proxy metrics.
Fig. 1 — The three revenue functions RevOps unifies. Gartner projects 75% of highest-growth companies will operate a RevOps model by 2026.
The numbers behind the adoption curve are striking. Gartner projects that by 2026, 75% of the highest-growth companies will have adopted a RevOps model.[1] A 2025 industry survey found that 79% of organizations entering the year had a formal RevOps function in place.[2] Forrester VP and principal analyst Nancy Maluso reports that organizations that successfully align people, processes, and technology across their revenue engine experience 36% more revenue growth and up to 28% more profitability.[3]
75% of highest-growth companies will adopt RevOps by 2026 (Gartner)
36% more revenue growth for companies with aligned revenue functions (Forrester)
28% more profitability for companies with integrated revenue operations (Forrester)
100-200% increase in marketing ROI after implementing RevOps (Boston Consulting Group)
59% win rate boost in RevOps-aligned sales organizations (HubSpot)
Which Industries Are Embracing RevOps First
RevOps adoption is not uniform across sectors. The industries where it is most deeply embedded share a common characteristic: predictable, recurring revenue with complex multi-touch buying cycles where misalignment between marketing, sales, and customer success creates visible, measurable damage.
SaaS and technology: The category where RevOps was born and where it is most mature. The subscription model makes the cost of misalignment immediately visible in net revenue retention metrics. By 2025, RevOps had become a standard function in SaaS organizations of virtually any size. ORM Technologies notes it has 'exploded into one of the most pivotal roles in SaaS.'[4]
Financial services and fintech: Multi-stakeholder buying processes, compliance-driven sales cycles, and high customer lifetime values make RevOps a natural fit. Alignment between marketing, sales, and relationship management directly affects deal velocity and retention.
Professional services and B2B services: As deal complexity increases and sales cycles lengthen, the cost of misalignment between lead generation and deal execution grows. PE-backed professional services firms are among the fastest-growing RevOps adopters in the mid-market.
Manufacturing and industrial B2B: Later to adopt but accelerating. The shift to digital-first buying in industrial markets has forced alignment between marketing and sales in ways that traditional siloed models cannot support.
Healthcare technology (early stage): Adopting RevOps but more slowly, for reasons addressed specifically below.
How to Recognize if You Need a RevOps Function
RevOps is not a function you build because it sounds strategic. You build it because specific operational symptoms are costing you revenue. These are the indicators that the function is needed:
Marketing and sales disagree on lead quality. Marketing reports strong MQL volume. Sales reports poor pipeline. Neither team can explain the discrepancy because they are using different data and different definitions.
Your forecasts are consistently wrong. Sales forecasting that relies on rep intuition rather than pipeline data and signal analysis produces revenue surprises in both directions. RevOps installs the reporting infrastructure that makes forecasts accurate.
Your CRM data is a hot mess. If your leadership team does not trust the CRM data enough to make decisions from it, you do not have a CRM problem. You have a revenue operations problem.
Customer success is isolated from the revenue conversation. If your CS team is focused on satisfaction scores without line of sight to expansion revenue and churn prevention as commercial outcomes, revenue is leaking from the back of the bucket while marketing and sales fill from the front.
Your growth is person-dependent. If revenue performance is driven primarily by individual rep relationships rather than a systematic commercial process, the business is fragile. RevOps builds the system that makes performance predictable and transferable.
You are preparing for an exit. A PE buyer or strategic acquirer will scrutinize the revenue engine. A functioning RevOps infrastructure demonstrates a repeatable, data-driven commercial model, not a relationship book. It directly affects valuation multiples.
"By 2026, 75% of the highest-growth companies will adopt a RevOps model. Gartner's readiness assessment focuses entirely on qualitative organizational readiness, not ARR triggers."
— Gartner, Revenue Operations: The What, Best Practices & RevOps Guide [1]
How to Build a RevOps Function
McKinsey's scaling research identifies the $10 to $100M ARR window as the critical evaluation period for RevOps adoption. That window maps directly to where most mid-market companies sit. The build sequence that works:
Fig. 2 — Five-phase RevOps build sequence. McKinsey identifies $10-$100M ARR as the critical evaluation window.
1. Audit and clean. Before building anything, document what exists: CRM completeness, tooling stack, how each function currently measures performance, and where the data breaks down. Most mid-market companies discover three to five critical process gaps in the audit alone.
2. Align definitions. The single most impactful early RevOps decision: agree on shared definitions for MQL, SQL, ICP, opportunity, and churn. Marketing and sales cannot be aligned if they are using the same words to mean different things.
3. Build the reporting engine. Stand up a shared dashboard that marketing, sales, and (ideally) customer success all see. The first version should cover pipeline velocity, stage conversion rates, win rate, CAC, and NRR. Sophistication comes later; shared visibility comes first.
4. Hire or assign. Smaller mid-market companies ($10-25M revenue) often start with a RevOps analyst who reports to the CRO or CEO. Larger companies need a VP of Revenue Operations. Fractional RevOps leadership is a viable option for companies not yet ready for a full-time hire.
5. Iterate and expand. RevOps is not a project with a completion date. It is an operating function. Quarterly reviews, signal layer additions, and tooling optimization are ongoing. The measure of maturity is not the technology in place; it is the quality of commercial decision-making.
Pros and Cons of Having a RevOps Function
The Pros
Revenue predictability. A functioning RevOps function produces forecasts that are accurate within 10-15%, compared to the 30-50% variance common in sales-ops-only environments.
Faster pipeline velocity. When marketing, sales, and CS share a process and a signal layer, leads move through the funnel faster. BCG data shows 100-200% marketing ROI improvement post-RevOps implementation.
Higher win rates. HubSpot's RevOps research found a 59% win rate boost in aligned organizations. The mechanism is straightforward: sales acts on better-quality signals from marketing, closes faster, and retains longer.
Exit readiness. For PE-backed companies, a functioning RevOps infrastructure is a valuation lever. It demonstrates a commercial engine that does not depend on individual relationships.
Capital efficiency. RevOps consolidates tooling, eliminates process redundancy, and reduces GTM costs as a percentage of revenue. BCG found a 30% drop in GTM expenses after RevOps implementation.
The Cons
Cultural resistance. Aligning marketing and sales under a shared accountability model is genuinely hard. Both functions have historically been rewarded for their own metrics. Changing that dynamic requires leadership commitment and takes time.
Implementation cost. A functioning RevOps function requires tooling, a dedicated role, and the organizational investment to clean data and rebuild processes. For companies below $10M revenue, the ROI calculation is less clear.
Risk of over-engineering. Companies that build RevOps around technology rather than process end up with expensive dashboards that no one trusts. The discipline comes first; the tooling is an accelerant, not a foundation.
Slower early velocity. The first 90 days of a RevOps implementation typically slow down commercial operations as processes are documented and rebuilt. This is a cost worth paying, but CEOs need to plan for it.
Typical Reporting Functions in RevOps
A mature RevOps function produces four categories of reports, each tied to a distinct commercial question:
Fig. 3 — RevOps core metric categories. Each category answers a distinct commercial question for the CEO and board.
Pipeline metrics. Answer the question: Is the growth engine working? Covers lead volume, stage conversion rates, pipeline coverage ratio, MQL-to-SQL conversion, and lead response time.
Revenue metrics. Answer the question: Are we winning at the right rate? Covers ARR/MRR growth, win rate by segment, average contract value, sales cycle length, and quota attainment.
Retention and expansion metrics. Answer the question: Are we keeping and growing what we have? Covers net revenue retention, gross churn, expansion revenue as a percentage of total, customer health scores, and NPS.
Efficiency metrics. Answer the question: Are we spending our commercial budget wisely? Covers CAC, LTV:CAC ratio, marketing ROI, GTM cost as a percentage of revenue, and revenue per rep.
The CEO and board should see all four categories in a single monthly or quarterly RevOps review. The companies that operate with this visibility make better capital allocation decisions and identify problems before they become crises.
The CRO Background Problem: Sales vs. Marketing
This is one of the most underexamined leadership questions in mid-market growth. The CRO sits above RevOps and is accountable for the full revenue engine. But most CROs come from one of two backgrounds: sales or marketing. And that background creates predictable blind spots.
When the CRO has a sales background but limited marketing depth: The revenue engine skews toward conversion and close. Pipeline velocity, quota management, and deal execution are typically strong. What suffers: demand generation, brand equity, ICP definition, and content strategy. Marketing often becomes a tactical support function rather than a strategic demand driver. The company excels at working existing demand but struggles to create new demand efficiently. In PE-backed companies, this shows up as heavy reliance on outbound at the expense of inbound, and higher CAC than the model can sustain at scale.
When the CRO has a marketing background but limited sales depth: The revenue engine skews toward awareness and pipeline creation. Demand generation, content strategy, and brand positioning are typically strong. What suffers: sales process rigor, deal qualification, forecasting accuracy, and quota management. The company generates leads that sales cannot close efficiently. Hanson Search's 2025 research noted that marketing-driven CROs 'focus on long-term brand positioning and demand generation' but may underinvest in 'short-term revenue and deal closure.'[6]
How mid-market companies handle these gaps varies, but the highest-performing approach is consistent: complement the CRO's background with the opposing capability, either through the RevOps function itself, a strong VP in the missing discipline, or fractional executive capacity that fills the gap without the full-time overhead. A CRO with a sales background should have a strong demand generation leader below them. A CRO with a marketing background should have a strong sales leader below them. RevOps, in both cases, provides the shared data layer that keeps the two functions aligned even when their natural instincts diverge.
Customer Success in RevOps: Why It Is Often Missing
The fully integrated RevOps model includes customer success as a third revenue function alongside marketing and sales. The logic is straightforward: in companies with recurring revenue, the customer success function is responsible for a significant portion of total revenue through renewal, upsell, and expansion. Excluding CS from the RevOps model means the retention and expansion revenue stream operates without the same data visibility and process rigor applied to new business.
In practice, customer success is included in RevOps at mature SaaS and technology companies but is frequently excluded at earlier-stage or services-oriented mid-market companies. The reasons are organizational rather than strategic: CS often reports to a different executive (CTO, COO, or Chief Customer Officer), uses different tooling, and operates on a different cadence from marketing and sales. Integrating it into RevOps requires a deliberate structural decision, not just a reporting change.
Why RevOps Adoption Is Slower in Healthcare and Health Tech
This is a genuine structural issue, not simply organizational inertia. Healthcare and health technology companies face a combination of factors that slow RevOps adoption relative to other sectors:
Regulatory and compliance constraints. Healthcare sales involves payer contracting, provider credentialing, HIPAA considerations, and procurement cycles that are driven by institutional processes rather than buyer intent signals. The RevOps playbook built for SaaS does not transfer directly because the buying motion is fundamentally different.
Extended sales cycles with non-linear decision-making. Bessemer Venture Partners' State of Health Tech 2024 report notes that 'healthcare SaaS ventures face extended sales cycles, cumbersome integrations, and challenges enforcing adoption among end-users.'[7] When sales cycles span 12 to 24 months and involve clinical, administrative, and financial stakeholders simultaneously, the standard pipeline stage model breaks down.
Clinical operations vs. commercial operations tension. In healthcare provider organizations, the dominant operational culture is clinical, not commercial. Revenue cycle management is a distinct function (focused on billing and reimbursement) that is often confused with revenue operations. The two are different functions with different objectives, and the conflation creates resistance to RevOps adoption.
Customer success is clinically defined. In healthcare, 'customer success' often means patient outcomes, not commercial retention. The function that drives renewal, upsell, and expansion in a healthcare technology company may be structured as an implementation or clinical outcomes team, not a traditional CS organization. Integrating these teams into a RevOps model requires reframing the commercial accountability of functions that do not see themselves as commercial.
None of these barriers are insurmountable. Health technology companies that successfully implement RevOps report the same performance improvements as their SaaS peers. The adaptation required is real, but the ROI case is the same. For PE-backed healthcare companies, the pressure to build a predictable commercial engine before exit is increasingly pushing RevOps adoption even in organizations that have historically resisted it.
What Happens After a Company Builds RevOps: The Data
The outcome data on RevOps implementation is among the strongest in commercial operations research:
100-200% increase in marketing ROI (Boston Consulting Group)
30% drop in GTM expenses as a percentage of revenue (BCG)
59% win rate boost in RevOps-aligned sales organizations (HubSpot)
53% increase in net-dollar retention in RevOps-aligned companies (HubSpot)
36% more revenue growth for fully aligned revenue organizations (Forrester, Nancy Maluso)
28% more profitability for companies with integrated revenue operations (Forrester)
3x faster revenue growth for companies with aligned marketing and sales functions (SiriusDecisions, cited widely in RevOps literature)
These numbers are not directional estimates. They are reported outcomes from companies that built the function deliberately, invested in the underlying data infrastructure, and gave RevOps the organizational authority to change how marketing, sales, and customer success operate together.
The caveat worth naming: companies that implement RevOps as a technology project rather than an organizational redesign do not achieve these outcomes. The function works when it is owned by leadership, resourced adequately, and given the authority to enforce the shared definitions and processes that make the data meaningful.
The question is not whether RevOps is right for your company. If you have marketing, sales, and customer success operating as independent functions with independent metrics, you already have a RevOps problem. The only question is whether you build the solution before your competition does, or after you lose the ground you could have held.
Citations
[1] Gartner. 'Revenue Operations: The What, Best Practices & RevOps Guide.' September 9, 2024. gartner.com/en/sales/topics/revenue-operations
[2] Skaled Consulting. 'RevOps Trends 2026: Top 4 Shifts in People, Process, and Tech.' December 23, 2025. skaled.com
[3] Maluso, Nancy. Forrester VP and Principal Analyst. Revenue operations alignment research, cited in Johnny Grow, 'RevOps Trends in 2025,' January 23, 2025. johnnygrow.com
[4] ORM Technologies. 'The Future of RevOps: Strategic Planning & Trends for 2026.' September 22, 2025. orm-tech.com
[5] Default.com. 'RevOps Framework: What It Is, Why You Need One and How to Implement.' Citing BCG and HubSpot RevOps research. default.com
[6] Hanson Search. 'Sales vs Marketing: Which background makes for the best Chief Revenue Officer?' March 10, 2025. hansonsearch.com
[7] Bessemer Venture Partners. 'State of Health Tech 2024.' October 24, 2024. bvp.com/atlas/state-of-health-tech-2024
[8] McKinsey & Company. Scaling research on $10-$100M ARR RevOps adoption window. Cited in Outreach.io, 'Revenue Operations vs. Sales Operations,' December 15, 2025.
Erika Rosenthal is Managing Partner of Veritac Group, a fractional GTM execution firm for PE-backed and investor-backed mid-market companies. She has 25+ years of operating experience including CEO, COO, and CMO roles across healthcare, SaaS, and services. veritacgroup.com | erika@veritacgroup.com