B2B SaaS revenue

Best B2B SaaS Sales Forecasting Tools in 2026

Sales-forecasting tools help revenue teams turn pipeline data, activity, judgment, and historical patterns into a repeatable view of likely outcomes.

A forecast is a management process, not just a number. Define stage and category rules, commit ownership, inspection cadence, data-quality expectations, and what happens when system signals conflict with seller judgment.

Tool Best fit Forecast orientation
Clari Revenue forecast governance Clari supports forecasting, pipeline inspection, and revenue workflows for teams needing a consistent rhythm around risk and commit decisions.
BoostUp.ai AI-assisted revenue forecasting BoostUp.
Aviso Predictive sales forecasting Aviso provides forecasting, pipeline management, and revenue-intelligence capabilities for sales organizations.
Salesforce Forecasting Salesforce-native teams Salesforce provides forecasting and pipeline views within its CRM, aligning forecasts with opportunity, territory, and hierarchy data.
HubSpot Sales Hub Accessible CRM forecasting HubSpot Sales Hub includes forecasting, pipeline management, reporting, and sales automation for teams wanting a connected CRM workflow.
Gong Conversation-informed forecast inspection Gong adds conversation and engagement evidence to deal inspection and forecasting.
People.ai Activity and opportunity intelligence People.
Revenue.io Communication-led pipeline signals Revenue.
Salesloft Execution and forecast rhythm Salesloft supports engagement, cadence management, conversation context, and revenue workflows.
Outreach Sales execution and pipeline visibility Outreach combines sales engagement, sequencing, pipeline workflows, and revenue intelligence.
Forecastio Lightweight forecast workflows Forecastio is a candidate for teams wanting a focused forecasting workflow around pipeline, categories, and review cadence.
Anaplan Connected sales and workforce planning Anaplan supports connected planning across sales, finance, workforce, and operations.
Pigment Collaborative revenue planning Pigment provides collaborative planning and modeling for finance and business teams, including revenue and sales scenarios.

1. Clari

Best for: Revenue forecast governance. Clari supports forecasting, pipeline inspection, and revenue workflows for teams needing a consistent rhythm around risk and commit decisions. It is useful when forecast quality depends on more than CRM stage fields.

Run a forecast cycle with historical deals, at-risk opportunities, stage changes, and manager inspection. Pros: forecast process and governance. Cons: signal quality depends on CRM and activity data. Pricing: request current packaging.

Pros forecast process and governance
Cons signal quality depends on CRM and activity data
Pricing context request current packaging.
Official source Review vendor information

2. BoostUp.ai

Best for: AI-assisted revenue forecasting. BoostUp.ai combines forecasting, deal inspection, and revenue-intelligence signals to support sales leaders. It fits organizations looking for evidence beyond manually maintained opportunity fields.

Test risk explanations and compare recommendations with manager judgment. Pros: forecast and deal intelligence. Cons: AI still needs data quality and judgment. Pricing: request a tailored quote.

Pros forecast and deal intelligence
Cons AI still needs data quality and judgment
Pricing context request a tailored quote.
Official source Review vendor information

3. Aviso

Best for: Predictive sales forecasting. Aviso provides forecasting, pipeline management, and revenue-intelligence capabilities for sales organizations. It is useful when teams want a predictive layer connected to CRM activity and inspection workflows.

Pilot one segment with historical outcomes and changing opportunity data. Pros: predictive insights and pipeline context. Cons: usefulness depends on history and adoption. Pricing: request current pricing.

Pros predictive insights and pipeline context
Cons usefulness depends on history and adoption
Pricing context request current pricing.
Official source Review vendor information

4. Salesforce Forecasting

Best for: Salesforce-native teams. Salesforce provides forecasting and pipeline views within its CRM, aligning forecasts with opportunity, territory, and hierarchy data. It is practical when minimizing another system matters.

Test categories, hierarchy, permissions, overrides, and historical snapshots. Pros: native CRM data and familiar controls. Cons: advanced needs may require extensions. Pricing: edition and packaging vary.

Pros native CRM data and familiar controls
Cons advanced needs may require extensions
Pricing context edition and packaging vary.
Official source Review vendor information

5. HubSpot Sales Hub

Best for: Accessible CRM forecasting. HubSpot Sales Hub includes forecasting, pipeline management, reporting, and sales automation for teams wanting a connected CRM workflow. It suits organizations prioritizing adoption and shared definitions.

Pilot forecast categories, pipeline updates, activity, and manager review. Pros: accessible workflow and reporting. Cons: advanced controls vary by tier. Pricing: verify current seats and features.

Pros accessible workflow and reporting
Cons advanced controls vary by tier
Pricing context verify current seats and features.
Official source Review vendor information

6. Gong

Best for: Conversation-informed forecast inspection. Gong adds conversation and engagement evidence to deal inspection and forecasting. It can help teams understand whether buyer behavior supports the story represented by an opportunity stage.

Test recording policy, deal context, risk signals, and inspection actions. Pros: qualitative deal evidence. Cons: privacy, recording, and adoption policies matter. Pricing: request current terms.

Pros qualitative deal evidence
Cons privacy, recording, and adoption policies matter
Pricing context request current terms.
Official source Review vendor information

7. People.ai

Best for: Activity and opportunity intelligence. People.ai organizes revenue activity and account engagement to improve pipeline visibility. It is useful when forecasts suffer because CRM records do not reflect actual interactions.

Pilot activity capture, attribution, privacy, and manager review. Pros: activity context and data governance. Cons: activity is not automatically intent. Pricing: request current enterprise pricing.

Pros activity context and data governance
Cons activity is not automatically intent
Pricing context request current enterprise pricing.
Official source Review vendor information

8. Revenue.io

Best for: Communication-led pipeline signals. Revenue.io connects sales communications, conversation intelligence, coaching, and revenue workflows. It fits teams that want interaction evidence closer to forecast operations.

Test consent, call capture, coaching, and opportunity updates. Pros: communication and execution context. Cons: recording and adoption policies need care. Pricing: request current user and module terms.

Pros communication and execution context
Cons recording and adoption policies need care
Pricing context request current user and module terms.
Official source Review vendor information

9. Salesloft

Best for: Execution and forecast rhythm. Salesloft supports engagement, cadence management, conversation context, and revenue workflows. It can help teams standardize the execution signals that inform pipeline conversations.

Compare cadence activity with opportunity outcomes and forecast changes. Pros: structured execution context. Cons: volume is not deal quality. Pricing: request current packaging.

Pros structured execution context
Cons volume is not deal quality
Pricing context request current packaging.
Official source Review vendor information

10. Outreach

Best for: Sales execution and pipeline visibility. Outreach combines sales engagement, sequencing, pipeline workflows, and revenue intelligence. It is relevant when the forecasting problem is connected to inconsistent execution and stalled opportunities.

Pilot one stage and test sequence exits, suppression, ownership, and outcomes. Pros: execution and pipeline context. Cons: CRM hygiene remains essential. Pricing: request current terms.

Pros execution and pipeline context
Cons CRM hygiene remains essential
Pricing context request current terms.
Official source Review vendor information

11. Forecastio

Best for: Lightweight forecast workflows. Forecastio is a candidate for teams wanting a focused forecasting workflow around pipeline, categories, and review cadence. It can be useful before adopting a broader revenue-intelligence suite.

Test data import, categories, history, overrides, and manager review. Pros: focused forecast process. Cons: feature and integration depth need validation. Pricing: verify current plans.

Pros focused forecast process
Cons feature and integration depth need validation
Pricing context verify current plans.
Official source Review vendor information

12. Anaplan

Best for: Connected sales and workforce planning. Anaplan supports connected planning across sales, finance, workforce, and operations. It is relevant when a sales forecast must feed broader scenarios rather than remain a standalone number.

Model demand, capacity, quota, and forecast changes with documented assumptions. Pros: scenario and planning depth. Cons: model ownership and implementation are substantial. Pricing: request a tailored quote.

Pros scenario and planning depth
Cons model ownership and implementation are substantial
Pricing context request a tailored quote.
Official source Review vendor information

13. Pigment

Best for: Collaborative revenue planning. Pigment provides collaborative planning and modeling for finance and business teams, including revenue and sales scenarios. It can help organizations connect forecast assumptions to broader operating plans.

Test assumptions, versioning, approvals, and reconciliation with CRM data. Pros: collaborative planning. Cons: it is a planning layer, not a native sales-intelligence system. Pricing: request current terms.

Pros collaborative planning
Cons it is a planning layer, not a native sales-intelligence system
Pricing context request current terms.
Official source Review vendor information

Choose by forecast requirement

Requirement Prioritize Pilot evidence
Consistent sales process Categories, hierarchy, inspection, history, permissions Forecast changes can be explained from recorded evidence
Predictive risk signals Activity coverage, explainability, history, model controls Risk signals lead to a documented action
CRM-first simplicity Native fields, adoption, reporting, integration, edition limits Managers use the forecast without spreadsheet reconciliation
Connected planning Scenarios, assumptions, versioning, finance reconciliation Forecast changes show operating-plan impact

A 30-day forecasting pilot

Choose one segment and run four forecast cycles with historical context, current pipeline, an at-risk opportunity, a stage change, and manager inspection. Record why the number changed and compare forecast accuracy with the current process without treating a single period as proof.

Review weekly for stale stages, unowned opportunities, activity inflation, unexplained probability changes, model drift, and managers bypassing the system. Confirm current pricing, users, CRM fields, data rights, integrations, and support terms before expanding.

Related reading: revenue intelligence tools , revenue operations guide , and sales engagement tools .