Clari vs Gong vs Aviso AI: 11 Best Sales Forecasting Software Tools 2026

Best for Inaccurate Forecasts

Clari (#1, 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, 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, 8.3/9.4). The easiest-to-use forecasting tool for SMBs already using HubSpot CRM. It also handles Inaccurate Forecasts.

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

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.