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Data Science AnalyticsTop 10 Best Sales Forecast Software of 2026
Top 10 ranking of sales forecast software with comparison criteria and tradeoffs for sales teams planning targets, pipeline, and quotas.
How we ranked these tools
Vendors set the topic, but our editors set the inclusion criteria and the evaluation framework before research starts.
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Framework: Features 40% · Ease 30% · Value 30%
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Anaplan is the best choice for enterprise sales planning teams that need scenario-driven rolling forecasts because its model workspaces make approvals and audit-friendly governance straightforward, while Pipedrive is the better fit for SMB leaders who want CRM-linked forecasting rollups since forecast reporting rolls up directly from pipeline stage activity.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Anaplan
Anaplan model workspaces support controlled planning cycles with approvals and audit-friendly governance workflows.
Best for: Fits when enterprise sales planning needs scenario-driven rolling forecasts with tight governance and API-based integrations.
Pipedrive
Editor pickForecast reporting that rolls up from pipeline stage activity using Pipedrive opportunity records as the source.
Best for: Fits when sales leaders want CRM-linked forecasting rollups with controlled access and API extensibility.
HubSpot
Editor pickRevenue forecasts built from opportunity properties and pipeline stages, with automation updating close-date and stage drivers.
Best for: Fits when sales leaders want CRM-native pipeline forecasting with workflow-driven upkeep and API integration.
Comparison Table
Anaplan
enterpriseConnected planning platform for sales and finance.
Anaplan model workspaces support controlled planning cycles with approvals and audit-friendly governance workflows.
Anaplan helps sales forecast teams model bottom-up and top-down structures, then reconcile outputs into territory and quota rollups through shared model logic. Forecast governance is handled with role-based access controls and audit-focused administrative options that track model changes by workspace and process. A notable fit signal appears when forecasting depends on frequent horizon updates, deal-stage conversion rates, and variance analysis across multiple organizational cuts.
A key tradeoff is that Anaplan’s governance and performance depend on disciplined model design, because large input volumes and frequent reloads require careful mapping of import structures and calculation scope. Anaplan is a strong usage match when sales, RevOps, and finance run synchronized rolling forecast workflows that need repeatable scenario comparisons and controlled model change management.
- +In-memory planning supports fast scenario comparisons across many drivers
- +Role-based access controls support forecast governance and team separation
- +REST API enables two-way integration with CRM opportunity modeling
- +Scheduled imports and recalculations keep rolling forecast views current
- –Model design discipline is needed to control performance at scale
- –Deep setup for complex workspace processes takes administrator time
- –Advanced workflows often require dedicated model-builder expertise
- –CSV mapping can become brittle when source schemas change frequently
Revenue operations teams
Rolling quota attainment forecast refreshes
Higher forecast consistency across teams
Sales planning managers
Scenario planning by territory and segment
Faster sensitivity analysis
Show 2 more scenarios
Finance planning teams
Forecast reconciliation with ERP mapping
Reduced variance to finance views
Finance aligns forecast outputs through structured export and reconciliation logic for downstream reporting.
Sales ops data teams
CRM pipeline synchronization via API
Shorter data-to-forecast turnaround
Data teams use REST API integration to keep opportunity and stage coverage inputs updated.
Best for: Fits when enterprise sales planning needs scenario-driven rolling forecasts with tight governance and API-based integrations.
Pipedrive
SMBSales CRM with visual forecasting.
Forecast reporting that rolls up from pipeline stage activity using Pipedrive opportunity records as the source.
Revenue planning in Pipedrive is anchored in the sales pipeline it manages, so forecast rollups come from the same opportunity objects used for daily deal work. Forecasting Horizon management is handled by time-based filters on opportunities and activity, which helps support rolling views without separate model rebuilds. Teams also get extensibility through its REST API, which supports data import and exporting for reconciliation with downstream planning tools. Governance is practical for many sales orgs because permissions can be limited by user role and pipeline access rules.
A tradeoff is that Pipedrive forecasting is less built for spreadsheet-style bottom-up scenario modeling than for CRM-linked forecasting and operational reporting. Forecast rollups remain strongest when deal stages stay disciplined and definitions of “in forecast” are consistent across teams. This is a strong fit when sales leaders need forecast accuracy trends tied to deal-stage velocity, not a standalone planning cockpit.
- +Forecast views stay aligned with the same pipeline used in daily selling
- +REST API supports custom forecasting models and data synchronization
- +Configurable pipeline stages enable velocity-style reporting inputs
- +Permission controls help restrict access to opportunities and reports
- –Scenario planning depth is limited compared with dedicated planning systems
- –Forecast rollups depend on consistent stage definitions across teams
- –Complex approvals workflow requires integration work or add-ons
- –Governance features like audit detail are not as granular as ERP-style controls
Sales operations teams
Pipeline coverage to rolling forecast views
Faster forecast updates
Revenue planning analysts
CRM opportunity modeling via API
Controlled scenario calculations
Show 2 more scenarios
Regional sales leaders
Quota attainment monitoring by stage
Earlier variance detection
Leaders use stage-based rollups and pipeline filters to compare expected outcomes by territory.
Sales managers
Deal-stage velocity reporting inputs
Improved forecast accuracy
Managers track progression patterns to adjust which deals are likely to close within the forecast window.
Best for: Fits when sales leaders want CRM-linked forecasting rollups with controlled access and API extensibility.
HubSpot
SMBCRM suite with sales forecasting tools.
Revenue forecasts built from opportunity properties and pipeline stages, with automation updating close-date and stage drivers.
HubSpot covers baseline forecasting from CRM opportunity modeling by letting teams segment pipeline into forecast categories and visualize expected revenue by horizon and stage. Deal reporting supports bottom-up forecasting patterns because opportunities already carry amounts, close dates, and stage history in the CRM. Workflow automation can trigger updates to forecast-driving fields when deals move or meet criteria, which reduces manual forecast maintenance. The REST API and webhooks support integration into planning systems and feed external assumptions into CRM records.
The tradeoff is that HubSpot does not provide a dedicated enterprise planning workbook model with multi-dimensional scenarios across many business drivers, so scenario planning often stays closer to CRM reporting than separate planning layers. HubSpot fits when forecast accuracy depends on pipeline coverage hygiene, stage conversion behavior, and deal-level updates rather than heavy bottom-up re-keying in a separate forecasting system.
- +Forecast rollups use CRM opportunity amounts, stages, and close dates
- +Workflows keep forecast-driving fields updated as deals change
- +REST API and webhooks support syncing forecast inputs to planning tools
- +Permissions restrict who can view and edit forecast-relevant CRM records
- –Scenario planning stays closer to CRM reporting than scenario workbooks
- –Complex forecast governance and approvals need process design and role discipline
- –External model reconciliation requires careful mapping between CRM fields
- –High-volume forecasting integrations can demand API throughput management
Revenue operations teams
Quota attainment forecast from pipeline stages
Improved quota visibility
Sales managers
Deal-stage velocity tracking for horizon
Faster coaching signals
Show 2 more scenarios
Sales ops system integrators
Sync forecast assumptions via REST API
Fewer manual updates
Integrators can push territory targets and model outputs into CRM fields that feed forecast reports.
Enablement and governance leads
Control forecast field edits by roles
Reduced forecast variance
Governance leads can limit who edits forecast-critical opportunity fields and standardize data entry workflows.
Best for: Fits when sales leaders want CRM-native pipeline forecasting with workflow-driven upkeep and API integration.
Salesforce
enterpriseCRM with Einstein AI forecasting.
Configurable forecasting types and quota rollups that follow Salesforce opportunity data and user role boundaries.
Salesforce combines opportunity tracking, quota support, and forecasting workflows through its CRM foundation, which keeps forecast inputs tied to the same records used for pipeline coverage. Forecasting is supported through configurable forecasting types, role-based visibility, and repeatable rollups that align quota attainment forecast views to forecast horizon needs.
- +Forecast rollups use the same CRM opportunity hierarchy and ownership model
- +Role-based permissions and forecast visibility align to forecast governance needs
- +REST API enables syncing pipeline and forecast metrics to external planning tools
- +Workflow automation keeps forecast updates tied to deal lifecycle events
- –Scenario planning requires significant configuration work and careful data mapping
- –Complex approvals workflows can become harder to administer across many teams
Best for: Fits when sales orgs already run Salesforce and need governed, CRM-tied forecasting with automation and API sync.
Zoho CRM
SMBCRM with built-in sales forecasting.
Quota-period forecast reporting that rolls up from opportunity data inside Zoho CRM.
Zoho CRM performs pipeline tracking and opportunity management that sales forecasting can directly build on through deal stage history and forecast fields. Zoho CRM supports forecast rollups by quota period for teams and territories, with workflow rules that keep forecast-relevant fields updated as deals move.
- +Forecast rollups based on opportunity stages and forecast fields
- +Role-based access supports forecast governance across teams
- +Workflow rules can keep forecast data current during deal updates
- +REST API and webhooks enable custom forecasting and sync
- –Forecast accuracy depends heavily on disciplined deal-stage hygiene
- –Advanced scenario planning often needs external reporting or custom logic
Best for: Fits when teams need CRM-driven forecast rollups with workflow control and API extensibility.
Gong
enterpriseRevenue intelligence with AI forecasting.
Forecasts incorporate Gong call insights through opportunity-linked deal context rather than treating recordings as separate analytics.
Gong turns call recordings into forecast inputs by linking talk-track signals and deal context to revenue planning workflows. Sales leaders get structured visibility into forecast drivers through Gong insights mapped to CRM opportunities and sales cycles.
- +Ties Gong conversation insights to CRM opportunities used in forecasts
- +Supports scenario planning around forecast assumptions and deal-stage velocity
- +Offers automation via API and webhooks for forecast workflow integration
- +Provides forecast rollups that keep pipeline coverage visibility consistent
- –Forecast accuracy depends on consistent CRM opportunity hygiene
- –Deal mapping between calls and opportunities can require careful setup
- –Complex multi-team governance needs more configuration than basic rollups
- –More advanced automation relies on engineering work for integrations
Best for: Fits when forecasting teams want call-level behavioral signals tied to CRM deals for clearer quota attainment forecasts and rollups.
Aviso
enterpriseAI-driven revenue forecasting and sales analytics.
Approvals workflow combined with an audit trail for forecast governance across scenario rollups.
Aviso focuses sales teams on managed forecasting workflows that connect deal inputs to quota attainment views. The solution supports scenario planning and forecast rollups that let planning owners compare base, optimistic, and pessimistic paths across periods.
- +Forecast rollups keep deal-stage contributions visible across forecast periods
- +Approvals workflow supports forecast governance with controlled updates
- +Scenario planning enables base, optimistic, and pessimistic case comparisons
- +Audit trail records forecasting changes for variance analysis follow-up
- –Forecast accuracy depends on consistent CRM field mapping into Aviso
- –Complex multi-territory models can require disciplined setup to stay consistent
- –Deep custom modeling may need heavier configuration than teams expect
- –Bulk data imports can be slower than API-driven sync for large CRMs
Best for: Fits when sales planning teams need controlled forecast rollups with approvals and scenario comparisons.
Salesloft
enterpriseSales engagement platform with forecasting.
Engagement-to-opportunity context that connects pipeline expectations with sequence timing and activity outcomes.
Salesloft is a sales engagement and workflow system used by forecasting teams to tie pipeline planning to real outreach activity. It supports opportunity-centric forecasting inputs through CRM integration, then organizes follow-up motions through configurable sequences and cadence logic.
- +CRM-based opportunity modeling with engagement context for better pipeline visibility
- +Configurable sequences let forecasting teams align stage timing with sales motions
- +API and automation hooks support repeatable sync into planning and reporting systems
- +Activity history helps explain forecast variance from outreach and engagement changes
- –Forecast rollups are limited compared with dedicated revenue planning products
- –Forecast governance workflows and approvals need extra process design outside Salesloft
- –Deal-stage accuracy depends on disciplined CRM data hygiene and stage definitions
- –Scenario planning requires external modeling and then round-tripping results
Best for: Fits when revenue teams want forecasting inputs grounded in outreach execution and CRM opportunity history.
Varicent
enterpriseSales performance management with forecasting.
Quota attainment forecasts that apply scenario assumptions through deal-stage logic to produce forecast governance-ready rollups.
Varicent turns sales forecasting inputs into quota-linked revenue planning, with workflows built around forecasting horizons and deal-stage behavior. The product supports scenario planning for base, optimistic, and pessimistic cases, then produces forecast rollups for territory and team views.
- +Scenario planning with base, optimistic, and pessimistic cases tied to quota attainment.
- +Deal-stage modeling supports forecast rollups by territory and organizational ownership.
- +Forecast governance workflows support approvals and audit trail expectations.
- +Integration patterns support CRM opportunity modeling and forecast synchronization.
- –Forecast setup needs careful configuration to match existing sales process definitions.
- –Complex org rollups can slow edits for users who rarely change forecast assumptions.
- –Admin governance configuration requires time to align permissions and workflows.
- –External data mapping work can be nontrivial when CRM fields do not match assumptions.
Best for: Fits when revenue planning teams need forecast governance, scenario cases, and consistent deal-stage rollups across sales orgs.
Centage
SMBCorporate planning with sales forecasting.
Forecast variance analysis links results back to deal stage assumptions across scenario cases.
Centage targets sales planning and forecasting teams that need structured, repeatable models for forecast rollups and variance analysis. The workflow centers on bottom-up deal inputs, stage assumptions, and scenario cases that roll into quota attainment forecast views. Centage also supports integration patterns using REST API and CSV data import for connecting CRM opportunity modeling outputs into forecast governance cycles.
- +Forecast rollups support bottom-up deal inputs and stage assumptions
- +Scenario cases enable base, optimistic, and pessimistic planning comparisons
- +REST API and CSV import support repeatable data refresh workflows
- +Variance analysis highlights plan versus actual drivers
- –Forecast governance requires disciplined approvals and change control setup
- –UI setup for complex mappings can take time for new teams
- –Advanced automation often depends on API-based integration patterns
- –Admin controls feel more model-centric than CRM-centric
Best for: Fits when sales ops teams run rolling forecast cycles with scenario planning and need consistent governance.
Conclusion
After evaluating 10 sales forecast software, Anaplan stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
How to Choose the Right Sales Forecast Software
Sales forecasting software is being used to turn pipeline activity into quota attainment forecast rollups, with Zoho CRM, Anaplan, and Pipedrive among the core options reviewed here.
This guide section connects how each tool handles forecast governance, scenario planning, and integration through API and automation surfaces across the full list of top products.
Anaplan is positioned for enterprise scenario-driven rolling forecasts with approvals and audit-friendly governance workflows, while Pipedrive and Zoho CRM anchor forecast rollups in CRM opportunity records.
The coverage also includes HubSpot, Salesforce, Gong, Aviso, Salesloft, Varicent, and Centage for teams that need call context, approvals audit trails, deal-stage logic, or variance analysis linked back to forecast assumptions.
Sales Forecast Software that turns CRM and planning inputs into governed forecast outputs
Sales forecast software takes opportunity and pipeline stage data and produces forecast rollups that can be managed over a forecast horizon with controlled access and defined update paths. Tools like Zoho CRM and HubSpot generate forecasts from CRM opportunity amounts, stages, and close dates using workflows that keep forecast-driving fields current as deal data changes.
Anaplan supports scenario-driven rolling forecasts using model workspaces built around approvals and audit-friendly governance workflows. Pipedrive also rolls forecasts up from pipeline stage activity using opportunity records as the source, with a REST API built for custom forecasting model extensions and data synchronization.
Across these systems, the practical differences show up in whether forecast logic lives close to CRM opportunity hierarchies, sits in scenario workspaces with disciplined model governance, or connects forecast outputs to deal-stage velocity and call-level signals.
What Sales Forecast Software must do across forecast logic, governance, and integration
Forecast software matters most when forecast logic runs from the same inputs sales teams use every day, then produces forecast rollups with controlled access and repeatable updates.
The tools in this category differ on whether forecast work happens inside a planning workspace with approvals, or inside CRM reporting views that stay tied to opportunity stages and close dates.
Forecast governance with approvals and audit-friendly controls
Anaplan uses model workspaces with approvals and audit-friendly governance workflows to control planning-cycle changes. Aviso combines an approvals workflow with an audit trail for forecast governance across scenario rollups.
Scenario planning that ties to deal-stage logic and forecasting horizon
Varicent applies scenario assumptions through deal-stage logic to produce forecast governance-ready rollups using base, optimistic, and pessimistic cases. Centage links variance analysis back to deal stage assumptions across scenario cases during rolling forecast cycles.
CRM-native forecast rollups from opportunity stages and close dates
Zoho CRM and HubSpot generate forecast rollups using opportunity amounts, stages, and close dates with workflows that keep forecast-driving fields updated as deals change. Salesforce also follows the Salesforce opportunity hierarchy and user role boundaries for governed forecast outputs.
Integration via REST API and automation surfaces for forecast inputs and sync
Pipedrive supports a REST API that enables custom forecasting models and data synchronization from Pipedrive opportunity records. HubSpot and Salesforce support API-based integration so forecast rollups can stay aligned as CRM records update through automation.
Call context and behavioral signals tied to CRM deals
Gong incorporates forecast inputs from Gong call insights mapped to CRM opportunity context rather than treating recordings as separate analytics. Salesloft connects engagement-to-opportunity timing and activity outcomes to improve pipeline expectations and forecasting inputs.
Choose based on where forecast logic lives and how governance is enforced
Forecast software should match the place where forecast truth is managed, either in a planning model workspace or in a CRM opportunity hierarchy with workflow upkeep. The right choice depends on whether scenario work needs administrator-managed governance or daily sales motions need CRM-native updates.
The strongest differentiators across these top tools are approvals depth, how forecast rollups derive from pipeline stage activity, and how much mapping effort is required to keep forecast drivers consistent across teams.
Select the planning engine when scenario work must run in controlled workspaces
If forecast scenarios require approvals and audit-friendly governance workflows, Anaplan fits enterprise planning cycles with controlled model workspaces. If forecast governance must combine approvals with an audit trail that tracks changes across scenario rollups, Aviso supports that workflow structure.
Select the CRM rollup path when forecast outputs must mirror opportunity hierarchies
If forecast rollups must derive directly from opportunity hierarchy, stage definitions, and ownership inside CRM, Zoho CRM and HubSpot keep the forecast-driving fields aligned with CRM updates. If forecast governance must match Salesforce opportunity data boundaries and forecast visibility rules, Salesforce ties configurable forecasting types to Salesforce opportunity data.
Pick a deal-stage modeling approach when scenario cases depend on forecasted conversion by stage
If scenario cases must apply base, optimistic, and pessimistic assumptions through deal-stage logic for quota attainment forecasts, Varicent fits that deal-stage driven approach. If the organization needs variance analysis that traces results back to stage assumptions across scenario cases, Centage provides that linkage.
Pick CRM-led pipeline forecasting when the source of truth is pipeline stage activity in the CRM tool
If the forecasting rollups must be built from pipeline stage activity using CRM opportunity records, Pipedrive produces forecast reporting aligned to the same pipeline used in daily selling. If pipeline forecasting must also stay updated through workflow-driven upkeep tied to opportunity close dates, HubSpot keeps forecast-driving fields current via automation.
Choose signal enrichment tools when forecasting needs call or engagement context
If forecast accuracy should incorporate Gong call insights tied to opportunity-linked deal context, Gong supports that mapping to forecast drivers. If forecasting inputs should connect sequence timing, engagement outcomes, and CRM opportunity history, Salesloft provides the engagement-to-opportunity context layer.
Who should buy this category of Sales Forecast Software
Sales planning teams buy this software when forecast rollups must be governed, scenario planning must be repeatable over a forecasting horizon, and integration must keep CRM opportunity data current. The best fit depends on whether the organization runs forecasting inside a planning model workspace or relies on CRM opportunity hierarchies for day-to-day forecast upkeep.
Enterprise sales planning teams running rolling forecasts with approvals
Anaplan supports scenario-driven rolling forecasts with approvals and audit-friendly governance workflows for controlled planning cycles. Aviso adds approvals workflow and audit trail controls across scenario rollups when governance tracking is a requirement.
Sales leaders who want forecast rollups to stay aligned with CRM pipeline stages
Pipedrive rollups use opportunity records tied to pipeline stage activity so forecast views match the pipeline used for selling. Zoho CRM and HubSpot roll up from CRM opportunity stages and close dates using workflows that update forecast-driving fields.
Revenue operations teams that need quota attainment scenarios by deal-stage logic
Varicent ties scenario assumptions to deal-stage logic to produce quota attainment forecast governance-ready rollups with base, optimistic, and pessimistic cases. Centage adds forecast variance analysis that links outcomes back to deal stage assumptions across scenario cases.
Teams that forecast from sales execution signals tied to deals
Gong connects call insights to opportunity-linked deal context used in forecasts instead of treating recordings as separate analytics. Salesloft maps engagement-to-opportunity timing and activity outcomes to improve pipeline visibility for forecasting.
Common buying and implementation pitfalls in Sales Forecast Software
Forecast outcomes fail when deal stage definitions and forecast-driving fields drift out of sync across CRM records, planning workspaces, and scenario assumptions. Teams also stumble when governance requirements are treated as an afterthought rather than built into approvals, role boundaries, and mapping configuration.
Choosing based on reporting views without validating how forecast governance and approvals will work
Anaplan requires model design discipline to control performance at scale, and governance workflows still depend on administrators setting up the right workspace process. Aviso needs consistent CRM field mapping into Aviso so the approvals workflow and audit trail reflect the expected forecast drivers.
Underestimating the setup effort needed to map deal stages consistently across teams
Pipedrive forecast rollups depend on consistent stage definitions across teams, so stage hygiene drives forecast rollup accuracy. Zoho CRM and HubSpot also rely on forecast accuracy depending on disciplined deal-stage hygiene and workflow upkeep.
Expecting deep scenario planning without the configuration and governance work it requires
Salesloft scenario work is limited compared with dedicated revenue planning systems, so forecast rollups need additional process design for approvals and governance. Salesforce scenario planning requires significant configuration and careful data mapping to keep forecasts aligned to Salesforce opportunity structures.
Building variance and sensitivity workflows without planning for change control
Centage forecast governance requires disciplined approvals and change control setup, and complex mappings can take time for new teams. Varicent scenario planning needs careful configuration to match existing sales process definitions so deal-stage logic matches the organization’s current playbook.
Connecting forecast inputs to calls or engagements without confirming the mapping to CRM opportunities
Gong forecast accuracy depends on consistent CRM opportunity hygiene because Gong insights tie into opportunity-linked deal context. Gong and Salesloft both require careful setup so engagement signals and call insights land on the correct opportunity records used by forecast logic.
How analysts built the Sales Forecast Software shortlist
Analysts gathered information by searching for each tool listed in the source publication and copying every figure that appeared beside the passages describing capabilities. Analysts then compared each copied figure with official documentation, the changelog, and any cited independent review where one was referenced.
Analysts kept a figure when it matched those documents, and they included a published benchmark only when that benchmark was the cited source. Anaplan stood out in these materials for enterprise scenario-driven rolling forecast work built around approvals and audit-friendly governance workflows that align with controlled planning cycles.
Frequently Asked Questions About Sales Forecast Software
How do Anaplan and Varicent handle rolling forecast cycles with scenario planning?
Which tool keeps forecast inputs tied to the same CRM records used for pipeline coverage?
What breaks if forecast updates rely on manual exports instead of API or automation?
How do Pipedrive and Aviso differ in governance and approvals workflow design?
What integration patterns do Gong and Salesloft support when forecasting needs include outreach or call context?
Which tool is better suited for importing CRM opportunity data via CSV into forecast models?
How do Anaplan and Zoho CRM support technical extensibility through API and event-driven sync?
How do RBAC controls and audit logs show up in Salesforce and Zoho CRM for forecast accuracy?
When does Aviso’s scenario rollup workflow outperform Varicent’s rule-based deal-stage adjustments?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
Funding and competing interests
This study was co-funded by several of the vendors assessed in it. No single vendor funded it. Funders could propose the market studied.
They had no role in selecting vendors, setting or weighting criteria, analysing data or drawing conclusions, and they received the same factual-accuracy check as every other vendor assessed.
Market definition, inclusion rules and criteria weights were fixed by an editor before research began and did not change afterwards. Editorial process →
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