In this article, we’ll walk you through the best enterprise sales forecasting tools, the pros and cons of each, and how to choose the right one for your org.
Revenue forecasts have a funny way of changing right before the quarter ends. The deal everyone was counting on gets pushed, a champion leaves the company, or legal finds one more redline that delays everything.
That's what makes enterprise sales forecasting so difficult. Long sales cycles, large buying committees, and constantly changing deal dynamics mean yesterday's forecast isn't always today's forecast.
And the reality is, even the best forecasting software won’t stop deals from slipping, BUT it can help revenue leaders understand what’s happening in the pipeline so they can identify risks earlier and make more informed decisions. In this article, we’ll walk you through the best enterprise sales forecasting tools, the pros and cons of each, and how to choose the right one for your org.
Enterprise sales forecasting is the process of estimating how much revenue your team is likely to generate over a given period. In other words, it's an educated estimate based on the opportunities currently in your pipeline.
It sounds simple enough in theory, but in practice it's anything but. Enterprise deals are rarely predictable because there are so many moving pieces. One legal review can delay a deal by weeks or even months. Budgets get frozen or reallocated. A champion leaves the company, forcing the sales process to start over with a new stakeholder. The list of problems to solve goes on and on.
And that's what separates enterprise forecasting from SMB forecasting. Smaller sales teams often have shorter sales cycles, fewer decision makers, and a relatively straightforward path to a signed contract.
As a result, enterprise forecasting isn't just about adding up the value of every open opportunity.
The best forecasts consider factors like:
In enterprise sales, revenue leaders aren’t just estimating how much pipeline will close, they’re also trying to account for incomplete CRM data, inconsistent forecasting across sales teams, changing buyer behavior, and deals that can stall for reasons completely outside a rep's control.
Some of the biggest enterprise sales forecasting challenges include:
The best enterprise sales forecasting software is designed to solve these challenges by bringing together CRM data, buyer activity, pipeline health, and AI-driven insights into a single platform. In the next section, we'll compare the best enterprise sales forecasting software, what each platform does best, and which types of organizations they're best suited for.
The best enterprise sales forecasting software for your organization depends on your CRM, sales process, and how your team approaches forecasting.
As you review the solutions below, consider the following questions. They'll help you narrow down your options and identify the platforms that best fit your organization's needs.
For organizations already using Salesforce, Agentforce Sales (formerly Sales Cloud) is a natural option because forecasting is built directly into the CRM. Rather than purchasing a separate forecasting platform, sales leaders can forecast revenue using the same opportunity data their teams update every day.
As a result, teams can:
Potential downside: Agentforce Sales is a CRM first and a forecasting platform second. While its native forecasting capabilities are strong, organizations looking for advanced pipeline inspection, revenue intelligence, or deeper deal risk analysis may eventually find themselves evaluating dedicated forecasting platforms like Clari or Gong.
So, is Agentforce Sales right for your enterprise sales team?
If Salesforce is already your CRM, Agentforce Sales is a natural choice because forecasting is built into the platform your team already uses. For many organizations, that's enough. But if forecasting has become a cross-functional process involving sales leadership, RevOps, finance, and executive stakeholders, a dedicated forecasting platform may provide the additional visibility and insights you need.
Clari is one of the most well-known enterprise sales forecasting platforms on the market. Unlike Agentforce Sales, which includes forecasting as part of a CRM, Clari was built specifically to improve forecast accuracy, inspect pipeline health, and help revenue teams identify deal risk before it impacts the quarter.
As a result, teams can:
Potential downside: Clari is built for enterprise organizations with complex sales motions. Smaller teams or organizations with straightforward forecasting needs may find the platform to be more than they need.
So, is Clari right for your enterprise sales team?
If forecasting has become a cross-functional process involving sales leadership, RevOps, finance, and executive stakeholders, Clari is one of the strongest dedicated forecasting platforms available. Organizations with simpler forecasting needs may find that their CRM provides enough visibility.
Gong Forecast takes a different approach to enterprise sales forecasting. Rather than relying primarily on CRM data, it combines CRM information with buyer conversations, emails, meetings, and sales activity to give revenue leaders a more complete picture of deal health and forecast risk.
As a result, teams can:
Potential downside: Gong Forecast delivers the most value for organizations already using Gong's conversation intelligence platform. Teams looking solely for forecasting may find broader revenue forecasting platforms better suited to their needs.
So, is Gong Forecast right for your enterprise sales team?
If your organization already relies on Gong for conversation intelligence, Gong Forecast is a natural extension that connects buyer interactions to revenue forecasting. Organizations looking for a standalone forecasting platform may prefer a solution built specifically around forecasting and revenue operations.
Aviso focuses on AI-driven forecasting and predictive analytics. Instead of relying solely on pipeline data, it analyzes historical performance, deal activity, and sales patterns to help revenue leaders predict future outcomes and model different forecasting scenarios.
As a result, teams can:
Potential downside: Organizations that prefer simpler forecasting workflows may find Aviso's predictive capabilities more advanced than they need.
So, is Aviso right for your enterprise sales team?
If your organization wants AI to play a larger role in forecasting and scenario planning, Aviso is worth considering. Teams looking primarily for CRM-native forecasting may find a simpler platform is a better fit.
HubSpot Sales Hub includes built-in forecasting capabilities for organizations already using HubSpot as their CRM. While it's often associated with small and mid-sized businesses, its Enterprise tier offers forecasting, pipeline management, and reporting features that can support larger sales organizations.
As a result, teams can:
Potential downside: HubSpot's forecasting capabilities are designed around the HubSpot ecosystem. Organizations with highly complex enterprise sales processes or advanced forecasting requirements may eventually need a dedicated forecasting platform with deeper revenue intelligence capabilities.
So, is HubSpot Sales Hub right for your enterprise sales team?
If your organization already uses HubSpot Enterprise, its native forecasting capabilities may be all you need. However, organizations managing highly complex enterprise sales motions or looking for advanced AI-driven forecasting may find themselves evaluating more specialized forecasting platforms.
Rather than focusing solely on forecasting, Terret takes a broader approach to forecasting and combines CRM data, buyer activity, conversation intelligence, and AI to help revenue teams understand why forecasts are changing and what actions they should take next.
As a result, teams can:
Potential downside: Terret is designed as an AI-native revenue platform rather than a standalone forecasting solution. Organizations looking for basic CRM forecasting may find its broader capabilities more than they need.
So, is Terret right for your enterprise sales team?
If your organization wants forecasting to be part of a broader AI-driven revenue strategy, Terret is worth considering. Its combination of forecasting, revenue intelligence, and AI-powered recommendations makes it a strong fit for enterprise organizations looking to move beyond reporting and toward execution.
No forecasting platform can tell you exactly what's going to happen this quarter. Enterprise sales simply don't work that way.
What the best platforms can do is help you understand what's happening behind the scenes in your pipeline by surfacing risks earlier, improving accuracy, and offering greater visibility.
If you're already using a CRM like Salesforce or HubSpot, the native forecasting tools may be all you need. But if forecasting has become a strategic process that involves RevOps, finance, and executive leadership, it may be worth investing in a platform built specifically for the job.
The right platform depends less on the number of features it offers and more on the problem you're trying to solve. Start by asking yourself: What's preventing your forecasts from being accurate today? Whatever your answer is will point you toward the right solution.
