Top 10 Best Quote Software of 2026

Better Proposals centers on proposal authoring and quote lifecycle tracking, with template-driven layouts that reduce manual formatting work. Quote generation follows a repeatable structure, while version history records revisions for internal review and customer follow-ups. Configuration supports guided edits that keep sales reps inside approved fields and wording patterns.

A key tradeoff is that deeper CPQ behaviors depend on how pricing rules and product configuration are represented in the data feeding the quote templates. Teams get the best results when the quote process already uses consistent product catalogs and pricing inputs and when approval steps must be tied to specific proposal versions. For deal desk or sales operations groups, the workflow works well when they need predictable governance across multiple reps.

Qwilr supports structured quote and proposal creation through templates, custom fields, and layout blocks that keep branding consistent across deals. Documents can be sent with tracked status so proposal owners can see where a quote is in the lifecycle. The workflow focuses on authoring, review, and publishing rather than on an internal product configurator engine. Automation comes primarily through configuration and integrations that sync deal context into documents.

A common tradeoff is that Qwilr does not replace a full CPQ pricing engine with complex tiered discounting and guardrail calculations for every line item. It fits situations where deal teams need a repeatable quoting format and predictable review handoffs for most quotes. Teams that already maintain pricing rules in other systems typically use Qwilr as the document and collaboration layer.

Proposify’s core workflow centers on guided proposal creation that starts from templates and carries structured content into published proposal documents. Revision tracking is built around review cycles, so sales reps can request changes and keep proposal history tied to approval steps rather than overwriting working drafts. For teams that need consistent branding, the template system keeps recurring sections and formatting aligned across reps and regions.

A tradeoff appears when deal structures require deep CPQ logic like complex product configurators, since Proposify’s strength is proposal assembly rather than quote calculation engines. Proposify fits best when sales teams already maintain product and pricing rules in CRM or spreadsheets and need a controlled path from draft to approved customer-ready documents.

Salesforce CPQ is a quote software built for configure-price-quote workflows inside the Salesforce ecosystem, with strong governance controls for deal teams and partner quoting. Quote documents can be generated from Salesforce records using templates, and pricing can be calculated through configurable rules and product relationships.

Automation support includes approval workflows and guided selling patterns that tie back into Salesforce for quote revisions and lifecycle states. CPQ also exposes integration surfaces through Salesforce platform extensibility so pricing data, catalog items, and CPQ actions can connect to external systems via supported APIs.

Conga CPQ generates guided quotes by combining product configuration, pricing logic, and quote document templates into a managed quote lifecycle. It integrates quote creation with CRM and contract-style workflows so reps can produce revisions, approvals, and signed documents from the same authoring flow.

Quote outputs can include line-level pricing outcomes that track rule results across revisions. Admin teams get governance controls for templates, approval steps, and quoting permissions that align quoting work with sales operations processes.

Oracle CPQ targets quoting teams that already run on Oracle CX and need guided selling tied to catalog and pricing logic. It supports configuration-driven quote creation with revision tracking, approval workflows, and quote artifacts designed for quote-to-cash handoff.

Integration breadth shows up through native-style connections to Oracle CRM and related order and fulfillment systems, plus an API and extensibility points for customizing quote rules and validations. Admin governance centers on user roles, workflow controls, and auditability across quote changes so sales and deal desk users can operate with consistent guardrails.

SAP CPQ is a configure-price-quote system built to fit tightly into SAP’s quote-to-cash chain, including commerce and order execution handoff. Its core strengths center on guided configuration, pricing logic driven by business rules, and quote document generation with controlled revision histories.

Quote workflows support approvals, audit trails, and dealer or deal desk routing patterns used in sales operations. SAP CPQ also targets administrators who need governance across templates, product catalogs, and integration-driven data synchronization.

Experlogix CPQ focuses on quote-to-cash workflows with configurable quote templates, guided quoting rules, and quote lifecycle controls for revisions and approvals. The product’s core strength is its configurator-driven pricing logic that ties product structure to pricing, discounts, and approval routing.

Experlogix CPQ also supports integration-oriented deployment through CRM and ERP connectivity patterns and extensibility hooks for custom business logic. Quote creation, amendment, and export are managed as part of a controlled process rather than as isolated document generation.

DealHub manages quote creation by turning product and pricing inputs into branded proposal documents with controlled revisions. It supports guided quote workflows, approval steps, and quote versioning so deal teams can track what changed across iterations.

DealHub also connects quoting outputs to CRM data and import sources, which reduces manual re-entry during sales rep quoting. DealHub’s governance features focus on role-based permissions and audit visibility around quote edits and approvals.

Tacton serves quote and proposal teams that need product configuration tied to live pricing and rules. It focuses on generating quotes and branded proposals from configuration inputs, with rule-driven calculations and repeatable templates for guided quoting.

Automation comes through configurable quoting workflows and revision history so sales teams can publish the right version after changes. Integration breadth is centered on feeding product, pricing, and customer data from upstream systems into the quote build process.