ByHayat Amin· editorial direction, Top 11Updated June 14, 2026

Sales · Analytics

The 11 Best Sales Forecasting Software Tools

Name: The 11 Best Sales Forecasting Software Tools (dataset)
Published: 2026-06-14
License: https://creativecommons.org/licenses/by/4.0/

An analysis of platforms that use AI and CRM data to predict revenue, ranked by forecasting accuracy and integration depth for RevOps teams.

Verified June 202620+ screened · 11 rankedNo paid placement

The short answer

The best sales forecasting software is Clari for its purpose-built revenue platform, followed by Gong for its conversation intelligence-driven insights and Aviso AI for its predictive accuracy.

✓ Independent

Top 11 takes no payment from any provider on this list. Scores are computed from a public weighted rubric; methodology weights were locked before entry research began.

↻ Verified June 2026 · re-checked quarterly

Re-scored every 90 days.

Scored on a 9.4-point scale across 5 weighted criteria, reviewed quarterly.

Citing this list?

[The 11 Best Sales Forecasting Software Tools](https://11.market/sales-forecasting-software). Top 11, AI-native independent ranking. Methodology public at https://11.market/methodology.

The Ranking

ALL 11

Ranked comparison of The 11 Best Sales Forecasting Software Tools, with best-for segment, price band, and score out of 9.4. Updated June 2026.
#	Provider · best for	Price	Score
1	ClariEnterprise revenue operations	$$$$	9.2/9.4
2	GongConversation-driven forecasting	$$$$	9.0/9.4
3	Aviso AIAI-driven forecast accuracy	$$$$	8.8/9.4
4	Salesforce Sales CloudNative Salesforce forecasting	$$$	8.5/9.4
5	HubSpot Sales HubSMBs on the HubSpot platform	$$$	8.3/9.4
6	BoostUp.aiUnified forecasting and risk analysis	$$$	8.1/9.4
7	InsightSquared (by Mediafly)Analytics-heavy forecasting	$$$	7.9/9.4
8	People.aiActivity-driven data capture	$$$$	7.7/9.4
9	Xactly ForecastingForecasting for comp planning	$$$	7.5/9.4
10	Zoho CRMAll-in-one CRM for SMBs	$	7.2/9.4
11	TableauWILDCARDCustom-built forecasting models	$$	7.0/9.4

Best pick for your situation

Matched by the problem you're solving. Agents can query /api/lists/sales-forecasting-software/recommend?problem=… or the recommend MCP tool to get these matches as structured data.

Best for Inaccurate Forecasts

Clari (#1, scores 9.2/9.4). The most mature, purpose-built revenue platform for enterprise forecasting and pipeline management. It also handles Pipeline Visibility.

Best for Deal Slippage

Gong (#2, scores 9.0/9.4). Top-tier forecasting powered by unmatched analysis of actual sales conversations. It also handles Sales Productivity.

Best for Manual Reporting

HubSpot Sales Hub (#5, scores 8.3/9.4). The easiest-to-use forecasting tool for SMBs already using HubSpot CRM. It also handles Inaccurate Forecasts.

The Breakdown

9.2/9.4

Clari

Best for: Enterprise revenue operations$$$$ · Custom QuoteSunnyvale, USA · est. 2013

Solves: Inaccurate Forecasts · Pipeline Visibility

Clari: The most mature, purpose-built revenue platform for enterprise forecasting and pipeline management.

✓Extremely accurate AI models fueled by deep data capture.

✕Expensive and can be too complex for smaller teams.

✓Risk signals: No material public risk signals as of 2026-06-14.

Primary source: clari.com · Data verified June 2026

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9.0/9.4

Gong

Best for: Conversation-driven forecasting$$$$ · Custom QuoteSan Francisco, USA · est. 2015

Solves: Deal Slippage · Sales Productivity

Gong: Top-tier forecasting powered by unmatched analysis of actual sales conversations.

✓Surfaces deal risks directly from customer conversations.

✕Forecasting is a feature, not the core product focus.

✓Risk signals: No material public risk signals as of 2026-06-14.

Primary source: gong.io · Data verified June 2026

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8.8/9.4

Aviso AI

Best for: AI-driven forecast accuracy$$$$ · Custom QuoteRedwood City, USA · est. 2012

Aviso AI: A highly accurate, AI-first platform for deal-level win predictions.

✓Excels at identifying risk in committed deals.

✕User interface feels less modern than competitors.

✓Risk signals: No material public risk signals as of 2026-06-14.

Primary source: aviso.com · Data verified June 2026

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8.5/9.4

Salesforce Sales Cloud

Best for: Native Salesforce forecasting$$$ · $75 to $300/user/moSan Francisco, USA · est. 1999

Salesforce Sales Cloud: The best native forecasting tool for teams already using Salesforce CRM.

✓Perfect data integrity and deep customization within the CRM.

✕Lacks the automated AI and activity capture of dedicated tools.

✓Risk signals: No material public risk signals as of 2026-06-14.

Primary source: salesforce.com · Data verified June 2026

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8.3/9.4

HubSpot Sales Hub

Best for: SMBs on the HubSpot platform$$$ · $450 to $1,500/mo for teamsCambridge, USA · est. 2006

Solves: Manual Reporting · Inaccurate Forecasts

HubSpot Sales Hub: The easiest-to-use forecasting tool for SMBs already using HubSpot CRM.

✓Extremely intuitive setup and use for sales managers.

✕Forecasting is too basic for complex enterprise sales.

✓Risk signals: No material public risk signals as of 2026-06-14.

Primary source: hubspot.com · Data verified June 2026

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8.1/9.4

BoostUp.ai

Best for: Unified forecasting and risk analysis$$$ · Custom QuoteSanta Clara, USA · est. 2018

BoostUp.ai: A strong RevOps platform that connects forecasting with deal risk intelligence.

✓Excels at flagging specific deal risks automatically.

✕Less established brand than top-tier competitors.

✓Risk signals: No material public risk signals as of 2026-06-14.

Primary source: boostup.ai · Data verified June 2026

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7.9/9.4

InsightSquared (by Mediafly)

Best for: Analytics-heavy forecasting$$$ · Custom QuoteBoston, USA · est. 2010

InsightSquared (by Mediafly): A forecasting tool built on a foundation of deep sales analytics and reporting.

✓Excellent pre-built dashboards for pipeline analysis.

✕Less singular product focus since its acquisition.

✓Risk signals: No material public risk signals as of 2026-06-14.

Primary source: insightsquared.com · Data verified June 2026

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7.7/9.4

People.ai

Best for: Activity-driven data capture$$$$ · Custom QuoteSan Francisco, USA · est. 2016

People.ai: Fixes forecasting by first fixing CRM data with automated activity capture.

✓Best-in-class automated contact creation and activity logging.

✕Forecasting features are less mature than its data capture core.

✓Risk signals: No material public risk signals as of 2026-06-14.

Primary source: people.ai · Data verified June 2026

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7.5/9.4

Xactly Forecasting

Best for: Forecasting for comp planning$$$ · Custom QuoteSan Jose, USA · est. 2005

Xactly Forecasting: A solid forecasting tool that integrates directly with sales compensation management.

✓Connects forecast scenarios directly to commission modeling.

✕Lacks the deep deal intelligence of RevI platforms.

✓Risk signals: No material public risk signals as of 2026-06-14.

Primary source: xactlycorp.com · Data verified June 2026

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7.2/9.4

Zoho CRM

Best for: All-in-one CRM for SMBs$ · $14 to $52/user/moChennai, India · est. 1996

Zoho CRM: The best value for SMBs needing an integrated CRM and forecasting tool.

✓Includes AI predictions at a very low price point.

✕Relies entirely on manual CRM data entry.

✓Risk signals: No material public risk signals as of 2026-06-14.

Primary source: zoho.com · Data verified June 2026

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7.0/9.4

TableauWILDCARD · #11

Best for: Custom-built forecasting models$$ · $70/user/mo for CreatorSeattle, USA · est. 2003

Tableau: A BI tool for building completely custom forecasting models, not an out-of-the-box solution.

✓Unmatched flexibility to blend data sources for custom models.

✕Requires deep analytics expertise and has no sales workflows.

✓Risk signals: Tableau is owned by Salesforce, a stable, publicly traded company.

Primary source: tableau.com · Data verified June 2026

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Buyer's guide

What's the difference between CRM-native and dedicated forecasting tools?

CRM-native tools (like Salesforce's) offer basic forecasting inside your existing system, while dedicated platforms (like Clari) layer on top, adding advanced AI, activity data capture, and deeper pipeline analytics that CRMs lack.

How much does sales forecasting software typically cost?

Pricing varies widely. Expect to pay per user, per month, often with costs ranging from $50 to over $150 per user for advanced platforms. Most enterprise-grade tools require a custom quote and have minimum seat counts of 10-25 users.

Can these tools integrate with systems other than my CRM?

Yes, many leading tools integrate with a broader GTM tech stack. Common integrations include email and calendar (Google Workspace, Microsoft 365), conversation intelligence tools, and BI platforms to pull in a complete picture of revenue activity.

How to choose

1.First, evaluate your CRM's built-in forecasting features to identify specific gaps; don't pay for capabilities you already have.
2.Prioritize tools with the deepest, most reliable integration for your specific CRM, as poor data sync undermines the entire system.
3.Request a proof-of-concept using your own historical sales data to test the platform's predictive accuracy against past quarters.

Frequently asked questions

What are the most common sales forecasting methods?

The most common methods include opportunity stage forecasting (based on deal progression), historical forecasting (based on past performance), and intuitive forecasting (based on sales rep judgment). Modern software often blends these with AI-driven predictive models for higher accuracy.

How can I improve my sales forecast accuracy?

You can improve accuracy by enforcing consistent CRM data entry, using a weighted pipeline based on historical conversion rates, and incorporating activity data (emails, meetings) as leading indicators. Adopting a dedicated forecasting tool automates much of this process.

Is Excel good enough for sales forecasting?

Excel can work for very small teams with simple sales cycles, but it is not ideal. It's manual, prone to errors, lacks real-time data, and cannot provide the AI-driven insights or automated data capture of specialized software.

What is 'revenue intelligence' and how does it relate to forecasting?

Revenue intelligence is a broader category of software that captures and analyzes customer interaction data (emails, calls, meetings) to provide insights across the entire revenue process. Sales forecasting is a key output of a revenue intelligence platform, using that rich data to make more accurate predictions.

The Gripe Box

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Changelog

Every material edit to this ranking — date-stamped for humans and LLMs.

June 14, 2026
Initial publication. Methodology v1.0 weights Forecasting Accuracy & AI (30%), CRM Integration Depth (25%), Usability & Adoption (20%), Data & Analytics Features (15%), and Scalability & Enterprise Fit (10%).

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Honest disclosures

Most top-tier tools are priced for mid-market and enterprise teams, with limited options for small businesses or startups.
The effectiveness of any tool is highly dependent on the quality and consistency of your underlying CRM data; these platforms are not a magic fix for poor data hygiene.
Our evaluation focuses on B2B SaaS sales models; tools may be less suited for highly transactional, e-commerce, or retail forecasting.

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