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Sales EnablementTop 10 Best Configure Price Quote Cpq Software of 2026
Top 10 ranking of configure price quote cpq software with pricing, features, and tradeoffs, including PROS Smart CPQ and Salesforce CPQ.
How we ranked these tools
Vendors set the topic, but our editors set the inclusion criteria and the evaluation framework before research starts.
Search agents gather the source set and the review record, including transcriptions of video reviews and podcasts.
Framework: Features 40% · Ease 30% · Value 30%
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PROS Smart CPQ is the best fit when your catalog rules and pricing must stay consistent through guided B2B quoting, while Salesforce CPQ is the most direct entry for teams already running Salesforce CRM and governed quotes, and Tacton CPQ is a strong alternative if discrete manufacturers need constraint-validated bundles.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
PROS Smart CPQ
Guided-selling playbooks drive sales choices while the underlying configurator rules engine enforces compatibility before quote outputs are produced.
Best for: Fits when complex catalogs need constraint-based configuration and consistent pricing across guided sales workflows.
Salesforce CPQ
Editor pickQuote lifecycle and approval routing that stays inside Salesforce records for auditable deal desk control.
Best for: Fits when Salesforce-based sales teams need tightly governed quoting workflows and CRM-native automation.
SAP CPQ
Editor pickConfiguration-time validation that blocks invalid selections while keeping quote content aligned to SAP product structures.
Best for: Fits when enterprise quoting must stay consistent with SAP master data and governed approval routing.
Comparison Table
PROS Smart CPQ
enterpriseAI-driven CPQ with dynamic pricing science for B2B commerce.
Guided-selling playbooks drive sales choices while the underlying configurator rules engine enforces compatibility before quote outputs are produced.
PROS Smart CPQ centers on guided selling with a configurator rules engine that evaluates compatibility during configuration, not after quotes are drafted. Bill of materials generation is used to convert validated selections into system-ready parts and line structures for fulfillment. Quote document generation and proposal template binding help teams standardize the way configured attributes and pricing appear in customer-facing outputs.
A key tradeoff is that deep customization of product logic and data mapping requires governance over rule ownership and change control, especially across multiple sales channels. PROS Smart CPQ is a strong fit when product catalogs have option dependency matrix complexity and sales teams need consistent configuration plus approvals before proposals go out.
- +Constraint-validated configuration prevents invalid option combinations during quote creation
- +Rules-driven pricing supports attribute-based pricing and discount gating tied to configuration
- +Quote document generation binds configured attributes into repeatable proposal outputs
- +Strong guided-selling flow aligns sales conversations with configuration rules
- –Rule and mapping customization needs disciplined admin ownership and review cycles
- –Complex catalog onboarding can take time when part hierarchies and dependencies are large
- –Multi-system handoffs require careful connector setup for field-level consistency
- –Less ideal for highly custom UI needs without adopting PROS templates
Deal desk operations
Discounts require config-aware approval routing
Fewer rework cycles and denials
Revenue operations teams
Consistent quote structures across channels
Sales-ready outputs stay consistent
Show 2 more scenarios
ERP integration owners
Part outputs feed fulfillment systems
Faster quote-to-order handoff
Bill of materials generation turns configured selections into system-ready line and part structures.
Sales engineers
Guided configuration for complex product options
Shorter time to valid quotes
Constraint checks guide selections and reduce invalid builds during customer discussions.
Best for: Fits when complex catalogs need constraint-based configuration and consistent pricing across guided sales workflows.
Salesforce CPQ
enterpriseEnterprise configure-price-quote solution native to the Salesforce platform.
Quote lifecycle and approval routing that stays inside Salesforce records for auditable deal desk control.
Salesforce CPQ maps configured offerings into quote line items that stay connected to Salesforce opportunities, accounts, and users. Configuration logic uses dependency constraints and validation rules so invalid option combinations fail before quote submission. Pricing supports attribute-based and tiered volume models and applies pricing logic at quote line and bundle levels. Quote documents can be generated from templates and bound to a quote record for proposal-grade output.
A key tradeoff is that Salesforce CPQ configuration and workflow behaviors rely heavily on Salesforce data modeling and record governance. Teams usually need careful admin setup for rule ordering, attribute propagation, and approval routing because small configuration gaps can block conversions. It fits organizations running deal desk approvals in Salesforce where quote status and changes must stay auditable inside CRM workflows.
- +Deep Salesforce object integration keeps quotes aligned with opportunities and approvals
- +Configuration validations prevent invalid option sets before pricing and submission
- +Quote document templates bind to quote records for consistent proposal output
- +Extensibility via Salesforce APIs supports custom approvals and lifecycle actions
- –Admin setup takes significant discipline to manage rule interactions safely
- –Complex multi-system order flows can require custom integration for full sync
- –Debugging rule behavior can be slow when dependencies span many product attributes
- –Highly customized guided selling may need additional configuration and scripting
Sales operations teams
Standardize deal desk approval steps
Faster approval throughput
Revenue operations analysts
Enforce configuration constraints and pricing
Lower quote error rates
Show 2 more scenarios
Partner sales teams
Create consistent partner-ready quotes
More consistent partner proposals
Template-bound documents and Salesforce-guided workflows keep proposals consistent across channels.
CPQ administrators
Automate quote-to-order data handoff
Cleaner order conversion
Lifecycle status updates and API-driven actions support downstream order and billing readiness.
Best for: Fits when Salesforce-based sales teams need tightly governed quoting workflows and CRM-native automation.
SAP CPQ
enterpriseCloud CPQ for complex manufacturing and subscription pricing on SAP S/4HANA.
Configuration-time validation that blocks invalid selections while keeping quote content aligned to SAP product structures.
SAP CPQ is built for enterprise quoting where product structures, option dependencies, and validation rules must be enforced during configuration. The product model feeds a quote lifecycle with statuses and exportable quote data used for quote-to-order conversion. Guided selling flows can reduce invalid selections by checking configuration rules at selection time instead of after proposal review. Quote document generation supports binding templates to configured results for consistent proposal output.
A key tradeoff is that SAP CPQ requires more governance and integration work than lighter CPQ deployments because configuration logic must match ERP master data and downstream expectations. SAP CPQ fits best when enterprise sales operations need consistent quoting across channels and when approval routing must reflect internal discount and compliance policies. A typical usage situation is channel partner quoting that still needs ERP-aligned part mapping and audit-ready quote versioning.
- +Constraint-based configuration validation enforces valid selections during quoting
- +Quote lifecycle status supports controlled approvals and controlled downstream conversion
- +Rules-driven pricing integrates with enterprise product and commercial policies
- +Template-bound quote document generation produces consistent proposals
- –Integration with SAP master data increases setup and ongoing change coordination
- –Guided configuration design takes time for complex option dependency matrices
- –Custom extensibility can add maintenance effort for multi-product catalogs
- –Sales teams often need admin support to manage configuration lifecycle changes
Sales operations teams
Governed discount approvals per configured quote
Fewer policy violations
CPQ administrators
Maintain rules for complex product options
Lower quote rework
Show 2 more scenarios
Channel partner teams
Partner quoting aligned to ERP mapping
Faster order intake
Quote results carry structured data for downstream quote-to-order conversion needs.
Enterprise sales teams
Proposal documents bound to configuration results
Consistent customer deliverables
Template binding generates proposals from validated configuration outcomes.
Best for: Fits when enterprise quoting must stay consistent with SAP master data and governed approval routing.
Oracle CPQ
enterpriseEnterprise CPQ engine built on the Oracle CX and Fusion stack.
Oracle CPQ’s configuration validation rules enforce constraint-based option selection before quote pricing and document generation.
Oracle CPQ focuses on constraint-based configuration, rules-driven pricing, and quote lifecycle controls across enterprise sales motions. It integrates with Oracle Sales and Oracle ERP through connector-style integration patterns, and it supports quote document generation tied to configuration outputs.
- +Constraint-based configuration keeps option dependencies consistent during guided quoting.
- +Rules-driven pricing supports attribute-based calculations tied to selected configuration outputs.
- +Quote document generation binds configured selections to proposal-ready documents.
- +Approval workflow routing supports deal desk and compliance steps in the quote lifecycle.
- –Configuration rules governance can require strong process discipline to avoid rule sprawl.
- –Non-Oracle CRM and ERP integrations may need custom work to match end-to-end automation.
- –Complex catalogs can slow configuration authoring when product structures are highly granular.
- –Users often need training to work within CPQ workflow and validation patterns.
Best for: Fits when enterprise teams need rule-governed configuration, pricing, and approval routing across Oracle-centric sales and ERP workflows.
Conga CPQ
enterpriseRevenue lifecycle CPQ built on Salesforce and Conga Platform.
Guided selling playbooks drive reps through configuration and map selections into quote document fields with routing.
Conga CPQ configures product rules and generates quotes from constraint-based configuration inputs. It couples guided selling, quote document generation, and approval routing to move configured selections into proposal-ready outputs.
- +Guided selling flows tie configurator inputs to quote-ready selections
- +Approval routing attaches governance checks to quote lifecycle stages
- +Quote document generation binds field data to proposal-ready layouts
- +ERP and CRM integrations support CPQ-to-back-office handoffs
- –Complex product rules require governance discipline to avoid inconsistent outputs
- –Advanced configuration modeling can take time for admin teams to master
- –Visualization export coverage is uneven across product data types
- –Some workflow customizations depend on external integration points
Best for: Fits when sales teams need guided selling plus controlled approvals, with downstream CRM and ERP handoffs.
Tacton CPQ
vertical specialistConstraint-based CPQ specialized for discrete manufacturers.
Tacton’s configuration validation model enforces option dependencies before pricing and quote line generation.
Tacton CPQ focuses on constraint-based configuration for quote creation, with guided selling experiences driven by product configuration rules. The workflow centers on rule validation, automatic bill of materials generation, and rules-driven pricing that produces quote-ready line items tied to a consistent configuration.
- +Constraint-based validation prevents invalid option combinations during quoting
- +Bill of materials generation ties configured selections to quote line items
- +Rules-driven pricing evaluates attributes and configuration choices consistently
- +Guided selling playbooks keep sales reps aligned to configuration steps
- –Rule authoring requires a disciplined configuration governance process
- –Deep CPQ-to-CRM integration often needs careful connector mapping and testing
- –Complex configuration models can slow authoring and increase maintenance load
- –Some deal desk workflows depend on external routing logic outside CPQ
Best for: Fits when complex product bundles require constraint validation, BOM output, and attribute-driven pricing inside CPQ.
Experlogix CPQ
SMBConfigurable CPQ embedded in Microsoft Dynamics and Salesforce.
Guided selling workflow plus configuration validation that enforces rule-based correctness before quote finalization.
Experlogix CPQ focuses on guided selling style quote creation with rule-driven product configuration and catalog-driven selling steps. It supports configuration validation, quote document generation, and quote lifecycle status so sales operations can manage revisions and approvals.
- +Guided selling flows reduce training time for catalog-driven deals
- +Configuration validation rules prevent invalid selections during quoting
- +Quote document generation supports consistent proposal output from configurations
- +Approval workflow routing supports deal desk review checkpoints
- –Complex rule sets require governance discipline to keep quoting outcomes consistent
- –External system integration depth can depend on connector coverage and mapping effort
- –Large option dependency matrix setups can slow configuration authoring for complex catalogs
- –Advanced customization usually requires deeper project involvement than UI-only changes
Best for: Fits when sales teams need guided quote flows with controlled configuration validation and managed approval routing.
DealHub CPQ
SMBAgile CPQ platform for subscription and usage-based pricing.
Guided selling playbooks that combine configuration rules with routed approvals to enforce commercial and technical constraints.
DealHub CPQ is a configure price quote system that centers constraint-based configuration and quote automation for complex product catalogs. It supports guided selling workflows with rule-driven validations and pricing, then pushes configured quote output to downstream order processes.
- +Constraint-based configuration with rule-driven validation to prevent invalid selections
- +Approval workflow routing built into guided selling steps for controlled quoting
- +Reusable quote templates bind consistent document structure to quote lifecycle stages
- +CPQ data is designed for quote-to-order handoff to CRM and ERP processes
- –Complex catalogs need disciplined rule design to avoid maintenance overhead
- –Advanced dependency logic can slow authoring for large option matrices
- –Visualization exports depend on available adapters for CAD or media formats
- –Deep automation often requires integration work for specific CRM and ERP landscapes
Best for: Fits when deal desks and channel teams need governed configuration, approvals, and quote output tied to CRM and ERP records.
Configure One
vertical specialistManufacturing-focused CPQ with CAD and ERP integration.
Quote lifecycle status and approval routing stay synchronized with configuration validation rules during guided selling edits.
Configure One is a CPQ and product configuration solution that builds quotes from a constraint-based rules engine and configuration validation rules. It supports guided selling workflows, including rules-driven pricing and approvals that route quote changes through defined deal desk steps.
- +Constraint-based configuration validation reduces invalid option combinations
- +Guided selling flow supports deal desk approvals during quote edits
- +Rules-driven pricing keeps attribute logic tied to configuration state
- +Structured quote outputs help downstream systems consume selections
- –Complex configuration setup needs governance discipline
- –Advanced visualization and CAD export support can be limited by integration needs
- –Some quoting workflows depend on custom scripting for edge cases
- –Throughput during large product catalogs may require tuning
Best for: Fits when guided selling and rules-driven pricing must stay consistent through approvals and quote lifecycle steps.
FPX CPQ
enterpriseEnterprise CPQ platform for omnichannel guided selling.
Quote lifecycle routing with rules-validated configuration steps feeding approval checkpoints for controlled quote throughput.
FPX CPQ is a configure price quote system from fpx.com that focuses on guided configuration, quote calculation, and quote document generation for sales teams. The product workflow centers on rules-driven configuration validation and pricing so the quote totals stay aligned with selected options and constraints.
- +Rules-based configuration keeps option dependencies validated during quoting
- +Quote document output supports configurable templates for proposals
- +CPQ workflows align approvals with quote lifecycle statuses
- +Product structure setup supports bill-of-materials style aggregation
- –Governance of configuration rules can become time-consuming at scale
- –Complex channel partner quoting may require careful workflow design
- –External system synchronization relies on connector patterns and mapping
- –Advanced visualization and CAD exports are not the primary emphasis
Best for: Fits when a mid-market team needs guided configuration rules and repeatable quote documents tied to approvals and downstream order steps.
Conclusion
After evaluating 10 configure price quote cpq software, PROS Smart CPQ 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 Configure Price Quote Cpq Software
Configure price quote CPQ software coordinates guided configuration, rule-validated pricing, and quote document generation so sales teams can move from selections to approvals without rework. This guide covers Smart CPQ, Salesforce CPQ, Oracle CPQ, SAP CPQ, Conga CPQ, Tacton CPQ, Experlogix CPQ, DealHub CPQ, Configure One, and FPX CPQ.
Each tool review focuses on integration depth and automation mechanics across CRM and ERP workflows, including constraint-based validation and quote lifecycle routing. The comparisons also emphasize governance controls such as rule ownership discipline, approval checkpoints, and how configuration edits stay consistent through quote stages.
Configure Price Quote CPQ Software for Guided Selling, Rule-Validated Pricing, and Quote-to-Order Flow
Configure price quote CPQ software uses product configurator rules engines to validate option dependencies at configuration time, then applies rules-driven pricing before quote line items and documents are produced. Tools like Smart CPQ block invalid option combinations during quote creation and enforce compatibility before quote outputs are generated.
In governed sales workflows, CPQ systems also route approvals tied to configuration and quote lifecycle status, so deal desk decisions match the selected catalog constraints. Salesforce CPQ keeps quote lifecycle and approval routing inside Salesforce records for auditable control, while SAP CPQ aligns quote content to SAP product structures and uses configuration-time validation to prevent invalid selections before downstream conversion.
CPQ purchase-readiness checklist for guided configuration, pricing validation, and governed approvals
Guided selling in CPQ must translate a guided configuration step into validated quote lines, not just a UI flow, so invalid option combinations cannot reach pricing or document generation. In this guide, Smart CPQ and Tacton CPQ are evaluated for constraint-based validation that blocks bad selections before quote outputs are produced.
Configuration validation that blocks invalid option sets before pricing
Smart CPQ and Oracle CPQ both enforce constraint-based configuration-time validation so incompatible options cannot progress into priced quote content. SAP CPQ also uses configuration-time validation to keep quote content aligned with SAP product structures.
Guided selling steps that map selections into quote document fields
Conga CPQ and DealHub CPQ connect guided selling playbooks to quote-ready outputs through routing tied to quote stages. Smart CPQ uses guided-selling playbooks to drive sales choices while the configurator rules engine enforces compatibility before quote outputs are produced.
Approval workflow routing tied to quote lifecycle stages
Salesforce CPQ routes approvals inside Salesforce records so deal desk control remains auditable at the opportunity and quote level. Configure One and DealHub CPQ keep approval routing synchronized with configuration validation so guided edits do not break governance.
CPQ document generation that stays consistent with validation outcomes
Oracle CPQ is evaluated for document generation that follows constraint-validated option selection, which reduces mismatches between configuration rules and what appears on proposals. FPX CPQ and Conga CPQ are evaluated for quote document output that supports configurable templates tied to approval checkpoints or routed configuration outputs.
Constraint rules and mappings that support attribute-based pricing
Smart CPQ and Oracle CPQ both use rules-driven pricing tied to configuration outputs for attribute-based calculations. Salesforce CPQ and SAP CPQ are evaluated for validation that supports consistent downstream pricing after configuration rules prevent invalid selections.
Choose CPQ by integration depth, rules governance fit, and automation surface across CRM and ERP
CPQ selection should start with where approvals and quote objects must live, since Salesforce CPQ keeps lifecycle and routing inside Salesforce records while other CPQ tools require connector mapping to align quote outcomes with external systems. This guide also treats rules governance as a deployment variable, because multiple tools warn that rule interactions can create maintenance overhead without disciplined ownership.
Decide where the source of truth for quote and approvals must reside
If quote lifecycle status and approval routing must stay inside Salesforce records, Salesforce CPQ is built for auditable deal desk control aligned to opportunities. If SAP master data governance must drive what can be quoted and what approvals cover, SAP CPQ keeps quote content aligned with SAP product structures during controlled approvals.
Validate that the configuration engine blocks invalid selections before pricing and documents
If the catalog has hard incompatibilities that must never reach pricing, Smart CPQ and Oracle CPQ enforce constraint-based configuration-time validation before quote pricing and submission steps. If quote lines must also produce BOM-linked output tied to configured selections, Tacton CPQ is evaluated for bill of materials generation that maps validated selections into quote line items.
Match guided selling depth to how approvals and quote edits must stay synchronized
If reps need guided playbooks that feed configuration and then attach governance checks to quote lifecycle stages, Conga CPQ is evaluated for playbook-driven mapping into quote fields with approval routing. If approvals must remain synchronized during guided selling edits while validation continues to enforce correctness, Configure One is evaluated for approval routing that stays synchronized with configuration validation rules.
Account for rule governance effort based on catalog scale and dependency logic complexity
If rule interactions must be managed safely and rule sprawl is a risk, Salesforce CPQ and Oracle CPQ are evaluated with a bias toward teams that will maintain disciplined admin ownership for configuration rules. If dependency matrices are extremely complex, SAP CPQ and Tacton CPQ are evaluated for the time needed to design guided configuration and dependency logic without breaking validation.
Stress-test connector and workflow mapping for end-to-end automation
If CPQ must integrate tightly across multiple systems, Salesforce CPQ and Tacton CPQ are evaluated for the connector mapping and testing required for complex multi-system order flows. If channel partner quoting and external CRM or ERP handoffs must be tightly governed, FPX CPQ and Conga CPQ are evaluated for workflow design that preserves configured correctness through approval checkpoints.
Which teams benefit from governed configuration, validation-first pricing, and lifecycle routing
Sales and deal desk teams benefit when configuration validation prevents invalid option sets from reaching priced quotes and when approvals align with lifecycle status. These outcomes show up in Smart CPQ and Salesforce CPQ, which both focus on compatibility enforcement before quote outputs and auditable approval control tied to lifecycle stages.
Salesforce-first quoting teams
Salesforce CPQ is a fit for teams that require quote lifecycle and approval routing to remain inside Salesforce records so deal desk control stays auditable across opportunities and quotes.
SAP-aligned enterprise quoting and approvals
SAP CPQ fits teams that need quote content aligned to SAP product structures while configuration-time validation blocks invalid selections and keeps controlled approvals consistent with SAP governance.
Manufacturing or engineered-to-order teams with option and dependency complexity
Tacton CPQ fits catalog-heavy configurations where constraint-based validation must drive BOM output into quote line items while preventing invalid option combinations during quoting.
Deal desks that require guided selling plus routed governance checks
Conga CPQ fits deal desks that need guided selling playbooks to map configurator inputs into quote document fields while approval routing attaches governance checks to quote lifecycle stages.
Mid-market teams standardizing proposal templates with approval checkpoints
FPX CPQ fits mid-market workflows that need rules-validated configuration feeding configurable proposal templates and approval checkpoints that support controlled quote throughput.
Common CPQ buying mistakes that create invalid quotes or ungoverned rule outcomes
Most CPQ failures happen when configuration rules and mappings are treated like UI content rather than governed logic tied to validation and lifecycle outcomes. Tools like Smart CPQ and Oracle CPQ emphasize that rule and mapping customization requires disciplined admin ownership to avoid inconsistent quote results.
Picking a guided-selling workflow without validating that constraint-based rules block invalid selections before pricing
Smart CPQ and Oracle CPQ are evaluated specifically for configuration-time validation that enforces compatibility before quote pricing and submission. Require proof that the invalid option combinations are rejected at configuration time, not later at document generation.
Underestimating rules governance work when catalogs have complex dependency logic
Salesforce CPQ and Oracle CPQ both call out the need for strong process discipline to manage rule interactions safely and prevent rule sprawl. Plan for rule ownership reviews and change cycles when dependency matrices become large.
Assuming approval routing will stay synchronized after reps edit configuration during guided selling
Configure One is evaluated for keeping quote lifecycle status and approval routing synchronized with configuration validation rules during guided selling edits. If synchronization is not enforced, approvals can reference a different priced configuration than the one shown on the proposal.
Ignoring connector mapping effort for end-to-end automation across CRM and ERP
Salesforce CPQ and Experlogix CPQ warn that external system integration depth depends on connector coverage and mapping effort. Demand a workflow walkthrough that covers order flow and quote-to-order conversion paths, not only quote creation.
Accepting incomplete document generation behavior when approval checkpoints depend on exact quote content
Oracle CPQ is evaluated for constraint-validated option selection feeding pricing and document generation together. FPX CPQ and Conga CPQ are evaluated for configurable templates that must remain consistent with validation outcomes and approval checkpoints.
How We Selected and Ranked These Tools
We evaluated guided selling behavior, configuration-time constraint validation, and how quote lifecycle routing connects approvals to configuration outputs. Features accounted for 40% of the score, ease and value each accounted for 30%, and governance fit influenced how well the automation supported repeatable deal desk workflows.
PROS Smart CPQ led the ranking by combining guided-selling playbooks with a configurator rules engine that blocks invalid options before quote outputs are produced and by supporting rules-driven pricing tied to configuration. The evaluation also weighted how consistently each tool kept approval routing aligned with quote lifecycle status during configuration edits and quote document generation.
Frequently Asked Questions About Configure Price Quote Cpq Software
How do Salesforce CPQ and Oracle CPQ handle quote lifecycle status for quote-to-order handoff?
When do SAP CPQ and Tacton CPQ fail to protect sales from invalid selections during guided selling?
Which CPQ platforms provide the strongest API and integration path into CRM and ERP systems?
What breaks if Smart CPQ and DealHub CPQ are integrated without a governed data model for configured line items?
How does Conga CPQ convert configuration outputs into proposal-ready documents compared with Experlogix CPQ?
When should admin teams choose Oracle CPQ over Salesforce CPQ for rule governance across multiple product rulesets?
What common security and access-control gaps appear when SSO and RBAC are added after rollout in CPQ tools?
Which platforms offer the most extensibility through integration interfaces for automating approvals and workflow routing?
How should teams plan data migration when moving configuration rules and product structures into SAP CPQ or Configure One?
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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