Across GTM organizations, speed and strategy separate the teams that consistently hit their targets from those still trying to catch up. And yet, many RevOps leaders struggle to keep pace with the velocity required to adjust to today’s rapidly changing business environment. What’s needed are new tools that enable RevOps to shed its reputation as a slower support function that is only responsible for CRM administration. After all, didn’t your chief revenue officer (CRO) want that new forecast scenario in a dashboard yesterday?
Companies are asking more of RevOps because they need more from it. Market conditions are tighter, sales cycles are longer, and competition is more aggressive. Hitting revenue targets now requires a higher level of precision across forecasting, planning, and execution.
That means RevOps is no longer an admin. Gone are the days where they are simply running the numbers in spreadsheets. With new tools and analytic capabilities, RevOps becomes the central force behind revenue growth.
This elevated role empowers RevOps to be a challenger of how revenue decisions are made, not just a champion of the status quo. They are now expected to actively guide sales leaders towards smarter decisions.
Luckily, RevOps teams are uniquely positioned to improve conversion rates, protect margins, reduce revenue leakage, and unlock more value from customer data. According to Gartner®, “companies with advanced-mature RevOps functions are twice as likely to exceed revenue goals and 2.3 times more likely to exceed profit targets compared to companies with intermediate or developing maturity.”[1] You’re essentially doubling your chances of hitting sales goals by maturing your RevOps processes and tools.
So how can you get started? It all comes down to how effectively your teams can translate data into action.
The hidden bottleneck: RevOps as the “Excel consolidation layer”
Despite rising expectations, many RevOps teams remain stuck in a role that limits their impact. Instead of driving strategy, their time is consumed by manually stitching together data from spreadsheets across CRM, finance, marketing, and customer success. They might be comfortable and well-versed in Excel, but is it still the best approach?
In fact, this way of working creates a persistent imbalance. For example, if 90% of time is spent preparing data and only 10% spent generating valuable insights, your team’s time isn’t focused on what really matters.
What’s more, inefficient planning creates delays across the pipeline. When RevOps is buried in manual work, forecast accuracy suffers and performance optimization opportunities are missed. If any improvements are being made, all the focus goes to helping reps close deals faster, leaving RevOps as an afterthought. But true efficiency and stronger revenue outcomes require giving RevOps the visibility and authority to guide broader GTM strategy.
When the focus changes to improving RevOps outcomes, the entire go-to-market motion benefits:
- Sales teams receive better territories, cleaner data, and clearer priorities.
- Finance gains more reliable forecasts and stronger planning inputs.
- Marketing and customer success operate with shared visibility into pipeline and customer health.
Well-structured territory and quota planning also plays a major role. Without clear governance, opportunity distribution becomes uneven, making it harder for teams to hit targets consistently.
When RevOps has the power to guide these decisions, organizations benefit from more balanced territories, better coverage, and improved performance across the board.
How to speed up your revenue operations
To operate as a strategic partner, RevOps needs more than incremental process improvements. It requires a shift in how data, planning, and decision-making are connected across sales, operations, finance, and customer teams with systems that reduce friction rather than redistribute it.
Integrated data as the foundation
Disconnected systems create friction at every stage of the revenue cycle. When raw data lives across multiple platforms, teams spend precious time validating numbers instead of acting on them. You need this data in a way that is much more usable and served easily.
An integrated data environment changes that dynamic. With a unified view across sales, marketing, finance, and customer success, RevOps can move from gathering data to interpreting it.
Platforms like Anaplan enable this by bringing together data from systems such as Salesforce, Outreach, and Gainsight into a single environment. With one source of truth, conversations shift away from reconciling numbers and toward determining the best course of action.
Real-time scenario modeling for mid-year, agile decision-making
Static planning cycles are no longer sufficient in a dynamic market. RevOps teams need the ability to model scenarios as conditions change — whether that’s shifting pipeline, evolving territories, or new market signals.
Real-time modeling enables teams to:
- Adjust territories and quotas on the fly
- Evaluate tradeoffs instantly
- Collaborate directly with sales leaders during planning
“We distributed territories to every account executive on day one of the fiscal year. That provides a lift in their productivity. We were able to achieve that objective thanks to the ability to model scenarios in real time.” – Justin Edwards, SVP, GTM Operations, Anaplan
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Instead of waiting days or weeks for updates, teams can iterate in the moment, leading to faster alignment and stronger execution.
Take a common scenario: reworking your geographic territory strategy. Should territories be divided by region, industry, or growth potential? Each option impacts pipeline coverage, quota distribution, and overall performance, so leaders need to evaluate them quickly.
With real-time scenario modeling, RevOps can present the top options to the CRO in a single session, showing how each approach affects outcomes. When data is harmonized and up to date, these scenario modeling exercises are fast and collaborative. On the other hand, when data is spread across spreadsheets and already outdated, even simple changes can take days to work through.
Signals that bring objectivity to forecasting
Sales forecasting accuracy improves when it is grounded in a broader set of signals. Activity data, customer engagement, historical performance, and pipeline movement all contribute to a more complete picture of revenue health.
By incorporating these signals into their GTM planning, RevOps can develop a more objective view of deal-close probability, customer-retention risk, and pipeline strength.
This reduces reliance on subjective judgment alone and introduces a layer of consistency and accuracy that improves confidence across the organization.
AI as a productivity multiplier
AI is rapidly becoming part of the RevOps toolkit, but its impact depends on how it is applied. The most effective use cases extend beyond seller productivity and focus on improving how the entire revenue engine operates.
Recent Salesforce research shows that 55% of sales operations teams have already updated their tech stacks to prepare for AI. The next phase is about translating that investment into measurable gains.
Capabilities like Sales Analyst and CoModeler within Anaplan illustrate how AI can support both analysis and execution. Sales Analyst draws on years of planning data to highlight potential disruptions, while CoModeler enables you to refine models, test scenarios, and adapt quickly as conditions change.