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.

ToolBest fitForecast orientation
ClariRevenue forecast governanceClari supports forecasting, pipeline inspection, and revenue workflows for teams needing a consistent rhythm around risk and commit decisions.
BoostUp.aiAI-assisted revenue forecastingBoostUp.
AvisoPredictive sales forecastingAviso provides forecasting, pipeline management, and revenue-intelligence capabilities for sales organizations.
Salesforce ForecastingSalesforce-native teamsSalesforce provides forecasting and pipeline views within its CRM, aligning forecasts with opportunity, territory, and hierarchy data.
HubSpot Sales HubAccessible CRM forecastingHubSpot Sales Hub includes forecasting, pipeline management, reporting, and sales automation for teams wanting a connected CRM workflow.
GongConversation-informed forecast inspectionGong adds conversation and engagement evidence to deal inspection and forecasting.
People.aiActivity and opportunity intelligencePeople.
Revenue.ioCommunication-led pipeline signalsRevenue.
SalesloftExecution and forecast rhythmSalesloft supports engagement, cadence management, conversation context, and revenue workflows.
OutreachSales execution and pipeline visibilityOutreach combines sales engagement, sequencing, pipeline workflows, and revenue intelligence.
ForecastioLightweight forecast workflowsForecastio is a candidate for teams wanting a focused forecasting workflow around pipeline, categories, and review cadence.
AnaplanConnected sales and workforce planningAnaplan supports connected planning across sales, finance, workforce, and operations.
PigmentCollaborative revenue planningPigment 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.

Prosforecast process and governance
Conssignal quality depends on CRM and activity data
Pricing contextrequest current packaging.
Official sourceReview 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.

Prosforecast and deal intelligence
ConsAI still needs data quality and judgment
Pricing contextrequest a tailored quote.
Official sourceReview 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.

Prospredictive insights and pipeline context
Consusefulness depends on history and adoption
Pricing contextrequest current pricing.
Official sourceReview 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.

Prosnative CRM data and familiar controls
Consadvanced needs may require extensions
Pricing contextedition and packaging vary.
Official sourceReview 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.

Prosaccessible workflow and reporting
Consadvanced controls vary by tier
Pricing contextverify current seats and features.
Official sourceReview 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.

Prosqualitative deal evidence
Consprivacy, recording, and adoption policies matter
Pricing contextrequest current terms.
Official sourceReview 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.

Prosactivity context and data governance
Consactivity is not automatically intent
Pricing contextrequest current enterprise pricing.
Official sourceReview 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.

Proscommunication and execution context
Consrecording and adoption policies need care
Pricing contextrequest current user and module terms.
Official sourceReview 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.

Prosstructured execution context
Consvolume is not deal quality
Pricing contextrequest current packaging.
Official sourceReview 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.

Prosexecution and pipeline context
ConsCRM hygiene remains essential
Pricing contextrequest current terms.
Official sourceReview 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.

Prosfocused forecast process
Consfeature and integration depth need validation
Pricing contextverify current plans.
Official sourceReview 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.

Prosscenario and planning depth
Consmodel ownership and implementation are substantial
Pricing contextrequest a tailored quote.
Official sourceReview 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.

Proscollaborative planning
Consit is a planning layer, not a native sales-intelligence system
Pricing contextrequest current terms.
Official sourceReview vendor information

Choose by forecast requirement

RequirementPrioritizePilot evidence
Consistent sales processCategories, hierarchy, inspection, history, permissionsForecast changes can be explained from recorded evidence
Predictive risk signalsActivity coverage, explainability, history, model controlsRisk signals lead to a documented action
CRM-first simplicityNative fields, adoption, reporting, integration, edition limitsManagers use the forecast without spreadsheet reconciliation
Connected planningScenarios, assumptions, versioning, finance reconciliationForecast 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.