11 Best Sales Forecasting Tools (2026)

87% of enterprises missed revenue targets in 2025 (Clari Labs, 2026). The forecasting tool you use is part of the problem or part of the solution. But picking the right one requires understanding what each tool actually does versus what it claims to do.

After twenty years of building forecast models for B2B SaaS companies, I will tell you this: most forecasting "tools" are really pipeline visibility tools that generate a number as a byproduct. Real forecasting requires custom models calibrated to your specific revenue engine. That distinction matters when you are choosing where to invest.

This is an honest assessment of 11 sales forecasting tools. ORM is on the list because we belong here. But I will tell you when a competitor is the better fit for your situation.

Quick Comparison Table

Tool	Type	Best For	Forecast Accuracy	Pricing	CRM Integration
ORM	Managed forecasting service	$100M-$1B ARR, board-level accuracy	85-95% (client-verified)	Custom (enterprise)	Salesforce, HubSpot
Clari	Revenue intelligence platform	Pipeline visibility + forecasting	Varies by implementation	$50-150K/yr	Salesforce, HubSpot
Gong	Conversation + revenue intelligence	Sales teams wanting call insights + forecast	Not independently verified	$40-120K/yr	Salesforce, HubSpot
Salesforce Einstein	Native CRM AI	Salesforce-native shops	Moderate (depends on data quality)	Included in premium tiers	Native
HubSpot Forecasting	Native CRM tool	HubSpot-native companies under $50M	Basic (weighted pipeline)	Included in Enterprise tier	Native
Aviso	AI forecasting platform	Mid-market to enterprise	Claims 98%, independently ~80-85%	$40-100K/yr	Salesforce
BoostUp	Revenue intelligence platform	Deal inspection + forecasting	Not independently verified	$30-80K/yr	Salesforce, HubSpot
People.ai	Activity intelligence platform	Activity-based pipeline insights	Not core focus	$50-120K/yr	Salesforce
RevCast	Revenue planning platform	Scenario modeling + planning	Not independently verified	$30-60K/yr	Salesforce
InsightSquared	Revenue analytics platform	Mid-market analytics + reporting	Moderate	$30-80K/yr	Salesforce
Anaplan	Enterprise planning platform	Large enterprise financial planning	Depends on model quality	$100K+/yr	Salesforce, custom

1. ORM (Best for Forecast Accuracy and Prescriptive Action)

ORM is not a tool. It is a managed forecasting service. You do not buy licenses and operate a platform. You engage a dedicated team that builds custom mathematical models on your CRM data and delivers prescriptive analytics with specific actions to close the gap between forecast and target.

What sets it apart: Every ORM client gets a different model because every client has a different revenue engine. A $200M ARR enterprise-focused company needs fundamentally different conversion rate assumptions, pipeline coverage models, and segment analysis than a $75M ARR company running product-led growth. ORM builds that specificity. Forecast accuracy: 85-95%, verified across our client base. This is not a marketing claim. These are actual forecast-to-close numbers measured quarterly. Prescriptive output: ORM does not just produce a number. The model tells you which deals to accelerate, where to add pipeline coverage, how to reallocate rep capacity, and exactly what needs to change to hit target. The difference between a forecast and a plan is the difference between knowing and doing. Best fit: B2B SaaS companies between $100M and $1B ARR where forecast accuracy has board-level consequences. Companies that want the outcome (accurate forecast plus action plan) without building an internal analytics team. Limitation: ORM is not a daily-use dashboard. If your primary need is real-time pipeline visibility for frontline managers, pair ORM with a platform like Clari or your CRM.

2. Clari (Best Revenue Intelligence Platform)

Clari built the revenue intelligence category. The platform connects to your CRM, email, calendar, and conversation data to provide pipeline visibility, AI-generated forecasts, and deal health signals.

Strengths: Pipeline visibility is exceptional. The platform gives CROs a real-time view of the pipeline without chasing reps for updates. Activity capture reduces CRM hygiene issues. The Wingman acquisition added conversation intelligence. For companies that need a daily operating platform for the revenue team, Clari is the market leader. Forecast capability: Clari's AI generates forecasts based on patterns across its customer base. The accuracy depends heavily on implementation quality and CRM data completeness. Companies with clean data and strong RevOps teams see meaningful accuracy improvements. Companies with messy data see the same problems reflected back. Best fit: Companies that need daily pipeline visibility and revenue intelligence tooling. Revenue teams that want a platform their managers and reps operate every day. Limitation: The forecast is generated by algorithms trained on aggregate patterns, not models built on your specific sales motion. For board-level precision, this approach has a ceiling. Pricing: Typically $50,000-$150,000 annually for mid-market companies. Enterprise pricing goes higher.

3. Gong (Best for Conversation Intelligence + Forecasting)

Gong started as a conversation intelligence platform and expanded into forecasting. The platform records and analyzes sales calls, surfaces deal risks based on conversation patterns, and generates pipeline forecasts.

Strengths: Call analysis is best-in-class. Gong identifies which deals mention competitors, which champions are disengaging, which conversations lack next steps, and which reps are following the methodology. For sales teams that want coaching insights layered with forecasting, Gong provides unique visibility. Forecast capability: Gong's forecasting uses conversation data alongside pipeline data. This is a genuine differentiator because it adds behavioral signals that CRM data alone misses. If a champion has not been on a call in 30 days, Gong catches it. Best fit: Sales teams where call coaching and conversation analytics are a priority alongside forecasting. Companies where most selling happens on recorded calls. Limitation: Gong's forecast accuracy depends on conversation data availability. Deals where interactions happen offline, via email, or through partners are less visible. The platform is also expensive for organizations that only need the forecasting component. Pricing: Typically $40,000-$120,000 annually depending on seats and features.

4. Salesforce Einstein (Best Native CRM Forecasting)

Salesforce Einstein is the AI layer built into the Salesforce platform. It provides opportunity scoring, forecast predictions, and pipeline analytics without requiring a separate tool.

Strengths: Zero integration overhead. If your team lives in Salesforce, Einstein is already there. Opportunity scores update automatically. The forecast leverages your CRM data natively. For companies that want forecasting without adding another tool to the stack, Einstein is the path of least resistance. Forecast capability: Einstein analyzes historical opportunity data to predict close probabilities and generate forecast numbers. Accuracy depends entirely on the quality and completeness of your Salesforce data. Companies with disciplined CRM hygiene see reasonable results. Companies with inconsistent data entry see noise. Best fit: Salesforce-native companies under $50M ARR that want incremental forecasting improvement without a separate vendor. Limitation: Einstein is a feature, not a product. It lacks the depth of custom modeling, the prescriptive recommendations, and the dedicated analytical support that purpose-built forecasting solutions provide. Pricing: Included in Salesforce Einstein (Sales Cloud Einstein) at $75/user/month, or in Unlimited/Einstein 1 editions.

5. HubSpot Forecasting (Best for HubSpot-Native SMB/Mid-Market)

HubSpot includes forecasting in its Sales Hub Enterprise tier. The tool provides deal-based forecasting, pipeline reporting, and goal tracking within the HubSpot ecosystem.

Strengths: Simple to configure, easy for reps to use, and natively integrated with HubSpot CRM. For HubSpot-native companies, it eliminates integration complexity. The deal pipeline view and forecast rollups give managers basic visibility. Forecast capability: HubSpot's forecasting is primarily weighted pipeline with some AI enhancements. It aggregates deal amounts by stage and applies probability weights. This is functional but basic compared to purpose-built forecasting tools. Best fit: Companies under $30M ARR running HubSpot that need basic forecasting without a separate tool. Limitation: The methodology is simple. No custom models, no prescriptive recommendations, no segment-level decomposition. Companies outgrow HubSpot forecasting as pipeline complexity increases. Pricing: Included in Sales Hub Enterprise ($150/user/month).

6. Aviso (Best AI-Native Forecasting Platform)

Aviso positions itself as an AI-first revenue intelligence platform with a strong emphasis on forecast accuracy.

Strengths: Aviso's AI models analyze CRM data, email, calendar, and conversation signals to generate forecasts. The platform provides scenario modeling, deal guidance, and revenue insights. The AI layer is more sophisticated than most competitors. Best fit: Mid-market to enterprise companies that want a platform-based approach with strong AI capabilities. Limitation: Claims of 98% accuracy should be evaluated carefully. Independent benchmarks suggest more realistic accuracy in the 80-85% range, which is strong but not what the marketing claims imply. Pricing: Typically $40,000-$100,000 annually.

7. BoostUp (Best for Deal Inspection)

BoostUp combines deal inspection, pipeline management, and forecasting in a single platform. The focus on deal health and risk identification is strong.

Strengths: The deal inspection layer surfaces risks based on engagement signals, helping managers prioritize pipeline reviews. The forecasting component layers on top of deal-level insights. Best fit: Revenue teams that want detailed deal-level visibility and risk flagging alongside their forecast. Companies where pipeline review discipline needs improvement. Limitation: Forecasting is secondary to deal inspection in BoostUp's architecture. For companies where forecast accuracy is the primary requirement, purpose-built solutions go deeper. Pricing: Typically $30,000-$80,000 annually.

8. People.ai (Best for Activity Data Capture)

People.ai focuses on capturing and analyzing sales activity data: emails, meetings, calls, and engagement signals. The platform maps activities to accounts and opportunities to provide activity-based pipeline intelligence.

Strengths: Activity capture is thorough. People.ai provides visibility into rep activity patterns, account engagement levels, and buying committee mapping. For organizations where CRM activity data is incomplete, People.ai fills the gaps. Best fit: Enterprise sales organizations where understanding rep activity and account engagement at scale is critical. Limitation: Forecasting is not People.ai's primary use case. The platform provides pipeline intelligence and activity data that can improve forecast inputs, but it does not generate the forecast models that dedicated solutions offer. Pricing: Typically $50,000-$120,000 annually for enterprise.

9. RevCast (Best for Revenue Planning and Scenarios)

RevCast focuses on revenue planning and scenario modeling. The platform helps revenue leaders model headcount plans, territory assignments, quota distribution, and pipeline scenarios.

Strengths: The planning layer is strong. RevCast answers questions like "what happens if we hire 5 AEs in Q2?" or "how should we reallocate territories after losing 3 reps?" The scenario modeling capability is useful for annual and quarterly planning. Best fit: Revenue leaders focused on capacity planning and territory design alongside forecasting. Limitation: RevCast is more of a planning tool than a forecasting tool. The forecasting component supports the planning use case but does not offer the depth of custom models or prescriptive analytics. Pricing: Typically $30,000-$60,000 annually.

10. InsightSquared (Best for Mid-Market Revenue Analytics)

InsightSquared provides revenue analytics, reporting, and forecasting for mid-market B2B companies. The platform offers pre-built reports, activity capture, and pipeline analytics.

Strengths: Comprehensive pre-built reporting covers the metrics most revenue leaders need without extensive configuration. The platform is more accessible than enterprise tools. Best fit: Mid-market companies ($10M-$75M ARR) that need revenue analytics and reporting alongside basic forecasting. Limitation: Forecasting capabilities are lighter than dedicated platforms. The tool is stronger as a reporting and analytics solution than as a primary forecasting engine. Pricing: Typically $30,000-$80,000 annually depending on company size and features.

11. Anaplan (Best for Enterprise Financial Planning)

Anaplan is an enterprise planning platform that extends well beyond sales forecasting into financial planning, supply chain, and workforce planning. Some enterprise companies use Anaplan for revenue forecasting as part of their broader planning infrastructure.

Strengths: Powerful modeling capabilities. Anaplan can build complex, multi-variable forecast models that account for financial, operational, and sales inputs. For companies that want forecasting integrated with broader financial planning, Anaplan provides a unified platform. Best fit: Large enterprise companies ($500M+ revenue) that need revenue forecasting embedded in their enterprise planning ecosystem. Limitation: Anaplan is complex to implement and expensive to operate. It requires dedicated administrators and modelers. Overkill for companies that only need sales forecasting. Pricing: Typically $100,000+ annually, often significantly more for enterprise deployments.

How to Choose

If forecast accuracy is your top priority: ORM delivers the highest verified accuracy through custom models and prescriptive analytics. Aviso is the strongest platform-based alternative. If daily pipeline visibility matters most: Clari is the market leader. Gong adds conversation intelligence. BoostUp adds deal inspection depth. If you want to avoid adding another tool: Salesforce Einstein or HubSpot forecasting eliminates integration overhead, with obvious accuracy trade-offs. If you need planning and scenario modeling: RevCast or Anaplan (for enterprise) provide planning capabilities alongside forecasting. If activity data is your biggest gap: People.ai captures and structures the activity data that makes every other forecasting tool more accurate.

The Bottom Line

The sales forecasting tool market is crowded with platforms that do adjacent things to forecasting. Pipeline visibility, conversation intelligence, activity capture, and revenue planning are all valuable. But they are not forecasting.

Real forecasting is building mathematical models calibrated to your specific win rates, conversion rates, sales cycle length, and pipeline dynamics. It is decomposing the gap between forecast and target by segment and recommending specific actions. That requires custom work, not a platform configuration.

Choose the tool that matches your primary need. Then evaluate whether the forecasting component is a feature or a foundation. The difference shows up in the accuracy, and the accuracy shows up in the board room.

Related reading: - Best RevOps Tools - ORM vs Clari - ORM vs Gong - ORM vs 6sense - Sales Forecasting: Complete Guide - Forecast Accuracy - Win Rate