TL;DR
RevOps struggles are usually diagnosed with headcount or tooling problems. They are more often visibility problems. The function owns the systems of record but not the conversations where revenue-relevant information is actually created.
Most revenue operations challenges come down to the same frustration: you built RevOps, the function that unifies sales, marketing and customer success operations under one revenue view, and the view is still fragmented. Gartner predicts that by 2026, 75% of the highest-growth companies will adopt a RevOps model, up from less than 30% today.
What Revenue Operations Is Supposed to Solve
Gartner defines revenue operations as “an end-to-end model that unifies customer engagement across functions and integrates people, processes and technology across the business.”
Forrester frames it as execution strategy: “a highly configured, iterative commercial execution strategy designed to maximize customer value and company performance. It unifies and optimizes data, processes, technology, and talent to better serve the customer lifecycle”.
The payoff is measurable. Gartner reports that companies with advanced-maturity RevOps functions are twice as likely to exceed revenue goals and 2.3x as likely to exceed profit goals compared with companies at intermediate or developing maturity. That spread, between maturity levels rather than between having and not having the function, is the most useful number in this article.
Revenue Operations vs. Sales Operations: What’s the Difference?
Scope. Sales operations serve the sales function. Revenue operations serve the revenue process across functions.
Gartner defines sales operations as “the strategic function that supports, enables and drives effective sales objectives, strategies and programs”, focused on “end-to-end execution of the sales process”, and revenue operations as “the convergence of go-to-market functions such as marketing, sales and customer service to create an end-to-end revenue process” (Sales Operations topic page). Gartner also notes that sales operations teams commonly support five or more groups and dedicate 68% of their time to non-client functions.
The most common misunderstanding is that RevOps is the three ops teams merged. Forrester corrects that directly: “revenue operations (RevOps) teams are not just a combination of marketing, sales, and customer success operations teams. RevOps teams have an expanded responsibility to connect strategy and execution cross-functionally, transforming the entire revenue ecosystem to enable consistent growth and improved productivity for the organization”.
Reorganizing the org chart is the easy half. Doug Bushée, Senior Director Analyst in Gartner’s Sales Practice, named the harder half: “CEOs and chief sales officers recognize that functional silos handing off clients from one function to the other, and using different technologies, people and processes, are a barrier to revenue growth”.
The 5 Most Common Revenue Operations Challenges
Data silos across sales, marketing and CS
The symptom is two teams reporting different numbers for the same thing and both being right by their own definition. Gartner found that 62% of respondents say sales and marketing functions define qualified leads differently, and that sales organizations with aligned cross-functional KPIs are nearly 3x more likely to exceed new customer acquisition targets.
The cause sits below the dashboards. Paul Blase and Paul Leinwand, both Principals at PwC U.S., write in Harvard Business Review that “operating models constrain growth when they promote silos around key functions such as marketing, sales, product development, pricing, and customer service”, and that “in too many companies, each function creates its own operating model, which impedes collaboration” (Create a System to Grow Consistently, 1 March 2024).
Example: marketing counts a demo request as qualified; sales count it after a discovery call. The funnel report is wrong in both directions, and neither team is at fault.
Manual CRM hygiene that never keeps up
The symptom is a pipeline review that begins with twenty minutes of correcting the record. The cause is that hygiene is work assigned to people who cannot finish the work they already have. Gartner found that 77% of sellers struggle to complete their assigned tasks efficiently.
The downstream cost is not hypothetical. Gartner research from 2020 puts the cost of poor data quality at at least $12.9 million a year on average and finds that 59% of organizations do not measure data quality.
Example: a six-figure opportunity where two of the four buying-committee members were never added as contacts, so nobody noticed when one of them left.
Forecast accuracy that breaks down at scale
The symptom is a forecast that was reliable at fifty deals and is guesswork at four hundred. The cause is that manual sanity-checking does not survive volume, and analytics incomplete inputs inherit the gap.
Gartner found that 84% of sales leaders agreed sales analytics has had less influence on sales performance than leadership expected, with poor data quality at 44% and limited cross-functional collaboration at 44% among the top barriers. Kelly Fischbein, Senior Principal, Research in Gartner’s Sales Practice: “with analytics comes the expectation of transformative decision making, but the reality is that many organizations struggle to produce actionable insights.”
Tooling sprawl without a single source of truth
The symptom is three systems that each hold part of the truth and disagree at the edges. The cause is that every gap gets solved by procurement rather than by design. Forrester reports that the number of tools available to sales has grown from 400 to over 1,000, with 66% of sellers saying they are drowning in tools.
Example: renewal dates live in three places and the one the CSM checks is not the one finance bills from.
Signals that never reach the right owner
The symptom is the post-mortem where someone says, we knew that. The cause is that knowing and routing are different capabilities, and RevOps owns systems of record rather than conversations. A renewal risk mentioned in a support thread, an expansion opening raised on a CS call, a stakeholder change noted in an internal channel: none of it enters a system RevOps can see.
Example: a customer mentions a restructure in a November ticket and asks who will own the account afterward. The renewal lapses in March.
Why These Challenges Get Worse as You Scale
Because the volume of revenue-relevant information grows with headcounts and accounts, and the manual routing capacity of a RevOps team does not.
At Series B, one person can hold the context for the whole book in their head and chase what matters. At Series D, the same person is running integrations and quarterly planning, and the chasing stops. Nothing broke. The arithmetic changed.
Maturity is the variable, not the headcount. Gartner reports that companies with advanced-maturity RevOps functions are twice as likely to exceed revenue goals than those at intermediate or developing maturity, which is an argument for changing how the function works rather than how many people it has.
How to Close the Revenue Operations Visibility Gap
Three moves, in order. Agree for one cross-functional definition for the handful of terms that appear in more than one team’s reporting. Automate capture rather than mandating entry. Then route findings to a named owner with a date attached, because a finding without an owner is a report.
The third move is where RevOps runs out of manual capacity, and it is the problem Revenue AI Signals addresses. It detects customer-facing conversations, flags anti-signals where the record and the conversations disagree and delivers to the account owner by email. The system surfaces the contradiction; humans resolve it. On data handling: SOC 2 (Type II), RBAC/FGAC, audit logs, SSO/SCIM, encryption in transit and at rest, deployed as SaaS, private cloud/VPC or on-prem.
On the RevOps use-case page, a multinational software company reduced CRM upkeep time by 60 percent, per fifthelement.ai‘s own data.
Frequently Asked Questions
Q1. What are the biggest challenges in revenue operations?
Five recur: data silos across sales, marketing and customer success; manual CRM hygiene that never keeps up; forecast accuracy that degrades as deal volume grows; tooling sprawl with no single source of truth; and revenue-relevant findings that never reach the person who owns the account.
Q2. What’s the difference between revenue operations and sales operations?
Scope. Gartner defines sales operations as supporting “end-to-end execution of the sales process” within sales, and revenue operations as “the convergence of go-to-market functions such as marketing, sales and customer service to create an end-to-end revenue process.” One serves a function; the other serves the lifecycle.
Q3. Why do RevOps teams struggle to scale?
Because signal volume grows with headcount and accounts while the team’s manual routing capacity stays flat. What one person could chase across forty accounts becomes impossible across four hundred. The function does not break; the arithmetic changes underneath it.
Q4. How many people should be on a revenue operations team?
No acceptable source publishes a team-size benchmark, so none is given here. Gartner’s maturity framing is more useful anyway: companies with advanced-maturity RevOps functions are twice as likely to exceed revenue goals than those at intermediate or developing maturity. Maturity, not headcount.
Q5. What causes data silos between sales, marketing and CS?
Tool sprawl plus the absence of a shared definition layer. Gartner found 62% of respondents say sales and marketing define qualified leads differently. When each function builds its own operating model and buys its own tooling, the reporting diverges long before anyone notices.
Q6. How does AI help revenue operations teams?
Two ways that matter. It reduces manual CRM upkeep by capturing rather than requiring entry, and it routes revenue-relevant findings from conversations to the account owner. More detail in turn revenue signals into action.
Q7. Is RevOps the same as sales operations?
No. Forrester is explicit that RevOps teams “are not just a combination of marketing, sales, and customer success operations teams” and carry an expanded remit to connect strategy and execution cross-functionally. Merging three ops’ teams under one manager produce a bigger sales-ops team, not RevOps.
