11 Best CPQ Software
for Sales Teams in 2026

Salesforce CPQ — now rebranded as part of Salesforce Revenue Cloud — earns its position at the top of this list for the specific segment of enterprises that have built their commercial operations around Salesforce. Because it operates natively within the Salesforce data model, every quote, product selection, approval event, and contract term lives in the same system as the opportunity, the account, the contact, and the forecast — with no integration layer to maintain, no data sync delays, and no discrepancy between what the rep quoted and what CRM shows closed.

The product rules engine handles configuration constraints, recommended add-ons, bundled products, and pricing schedules at a depth that most mid-market CPQ platforms cannot match. Subscription billing support manages recurring revenue products, amendments, renewals, and co-terming within the same quoting workflow — so a rep adding a seat expansion to an existing enterprise contract can generate an accurate prorated quote in the same tool they use for new business. Revenue Cloud extends this further into revenue recognition and contract lifecycle management. The honest limitation is implementation complexity: Salesforce CPQ is one of the more technically demanding CPQ deployments on this list and typically requires a Salesforce-certified implementation partner.

DealHub takes a fundamentally different approach to CPQ than most platforms on this list. Rather than treating the CPQ as a back-office configuration tool that produces a quote document, DealHub treats the entire quoting process as a selling event. The guided selling playbooks walk reps through a structured conversation with the prospect, surfacing the right product recommendations based on the answers, rather than presenting a full product catalogue and hoping the rep selects the right combination. That guided approach reduces configuration errors, improves cross-sell and upsell capture, and makes the CPQ genuinely usable by reps who are not product experts.

The digital deal room feature creates a branded, personalised microsite for each deal where the prospect can review the quote, access supporting materials, communicate directly with the sales rep, and sign the agreement — all without switching between email threads, PDF attachments, and DocuSign links. DealHub also handles subscription management and contract lifecycle alongside CPQ, which means the system that generates the quote also manages renewals, amendments, and expansion quotes on the same contract framework. It integrates natively with Salesforce, HubSpot, and Microsoft Dynamics. G2 consistently ranks DealHub among the top CPQ platforms for ease of use, which reflects how well the guided selling model works for actual sales reps versus tool administrators.

PandaDoc CPQ makes the strongest argument for consolidating quoting and proposal creation into a single platform at the small and mid-market level. Most teams that need CPQ also need professional-looking proposal documents — and building those two capabilities in separate tools means deal data lives in two places and formatting effort is duplicated every time. PandaDoc eliminates that duplication by handling product selection, pricing, document design, and e-signature within the same workflow. A rep selects products from the catalogue, the pricing table populates with the correct list prices and any applicable discounts, the branded proposal template wraps around that data automatically, and the document is sent for e-signature without leaving the platform.

CRM integrations with Salesforce, HubSpot, Pipedrive, and Zoho pull deal and contact data directly into the quote so reps are not retyping information that already exists in the system. Document analytics show when the prospect opened the quote, which pricing options they reviewed most, and whether they forwarded it internally — intelligence that tells the rep exactly when and how to follow up. The AI quote assistant generates first-draft quote content and product descriptions from prompts, which accelerates the creation of custom quotes for deals that fall outside standard templates. The limitation versus enterprise CPQs is configuration rule depth: PandaDoc handles product catalogues and pricing tables but does not support the constraint-based engineering rules that complex manufactured products require.

HubSpot CPQ makes the same compelling case for HubSpot users that Salesforce CPQ makes for Salesforce users: if your team already works every deal inside HubSpot, why manage quoting in a separate tool when it can live natively in the same environment with no integration to maintain? Quotes created in HubSpot pull product and contact data from the deal record automatically, keep the opportunity updated as the quote moves through the workflow, and sync closed deal details back to the CRM without manual data entry.

The product library allows teams to build a catalogue of products and services with associated list prices, unit costs, and SKU details that reps select from rather than typing into quote lines. Quote templates provide branded, professional document layouts that maintain visual consistency across every quote the team sends. E-signature is included so buyers can sign the quote without needing a separate tool. Payment collection capability lets buyers pay directly from the signed quote document, which accelerates cash conversion for transactional sales. The honest limitation is CPQ depth: HubSpot's quoting handles standard product selections and basic discount logic well, but it does not support the complex configuration constraints, multi-dimensional pricing rules, or approval workflow sophistication of dedicated CPQ platforms like Salesforce CPQ, DealHub, or Conga.

Conga CPQ is built for the configuration and pricing complexity that causes other platforms on this list to require workarounds. Where most CPQ tools handle product option trees and basic discount rules, Conga handles multi-dimensional pricing matrices, constraint-based configuration logic across thousands of product permutations, pricing waterfalls with multiple discount layers, and contract terms management that ties the quote to downstream obligation tracking. For enterprises selling complex technical products or services with regulatory compliance requirements embedded in the quoting process, Conga's depth is not over-engineering — it is what the process actually demands.

The contract lifecycle management layer connects the quote to the contract, the contract to renewal, and the renewal back to the next quote cycle — creating a continuous commercial record rather than isolated transactional documents. Revenue intelligence provides analytics on win rates by configuration, pricing patterns in won versus lost deals, and discount behaviour across the sales team that RevOps can use to improve pricing strategy over time. Conga integrates with Salesforce at depth and also connects to ERP systems including SAP and Oracle for order management. The implementation investment is significant — typically requiring a dedicated implementation team and several months of configuration work before going live.

Vendavo approaches CPQ from a fundamentally different starting point than most platforms on this list. Where most CPQ tools are primarily about configuration accuracy and quoting speed, Vendavo is primarily about pricing intelligence: using transaction data, competitive signals, customer behaviour patterns, and market conditions to tell a sales rep not just what price is correct but what price will win the deal at the highest possible margin. For manufacturing and distribution businesses where margin erosion through unnecessary discounting is a multi-million-dollar annual problem, this intelligence layer is worth more than any quoting speed improvement.

The AI price optimisation engine analyses historical deal data to surface deal-specific price recommendations: the price that maximises win probability at the margin level the business needs to protect. Deal scoring assigns a probability score to a quote based on how competitive the pricing is compared to historical win patterns in similar accounts and segments. The price waterfall visualisation shows every discount layer — list price, customer agreement price, volume discount, promotional discount, and net price — in a single view that makes margin leakage visible and manageable. ERP integrations with SAP, Oracle, and Microsoft Dynamics pull cost and inventory data so pricing is always grounded in current margin reality. Vendavo is most valuable for businesses with complex negotiated pricing environments where gut-feel discounting regularly destroys margin that did not need to be given away.

Zuora CPQ is purpose-built for the commercial reality of subscription and recurring revenue businesses, which is fundamentally different from the one-time transaction quoting that most CPQ platforms are designed around. When a customer buys a SaaS subscription, the quote is not a single transaction — it is the beginning of a commercial relationship that involves recurring billing cycles, mid-term amendments when seats are added or products are changed, renewals at contract end, and revenue recognition rules that spread the financial impact of that contract across its service period. Zuora's CPQ handles all of those events as native capabilities rather than workarounds on a one-time transaction platform.

Usage-based pricing support allows businesses with consumption or metered billing models to quote based on estimated or minimum usage commitments and then bill accurately against actual usage at the end of each period. ASC 606 revenue recognition compliance ensures that subscription revenue is recognised at the correct pace across the contract term, not all at the point of sale — a requirement for public companies and those preparing for IPO. Multi-currency and multi-entity support manages global subscription businesses from a single quoting and billing environment. Zuora integrates with Salesforce at depth and also connects to NetSuite, SAP, and major payment processors. The clear limitation is that Zuora's strength is in the billing and revenue layer more than the configuration and proposal layer — teams needing visually rich quote documents or guided selling typically pair Zuora with a front-end CPQ like Salesforce CPQ or DealHub.

Tacton CPQ sits at the most specialised end of the configure price quote market — built specifically for industrial manufacturers whose products are defined not by a catalogue of options but by engineering constraints that govern what combinations are physically possible. A manufacturer of custom industrial machinery, specialised HVAC systems, or precision equipment cannot configure products the same way a SaaS company configures service tiers. The configuration rules are engineering rules — material compatibility constraints, load-bearing limits, dimensional dependencies, electrical specification requirements — and Tacton's constraint-based engine is built to encode and enforce those rules at the level of complexity manufacturers actually work with.

The CAD integration is genuinely differentiated: as a sales engineer configures a product in Tacton, the 3D model updates in real time to reflect the selected configuration. This serves two functions — the sales engineer can verify the configuration is visually correct before quoting, and the customer can see an accurate 3D representation of the product they are buying rather than a text list of specifications. Bill of materials generation outputs the complete component list required to manufacture the configured product, which flows directly into ERP for procurement and production planning without manual re-entry. Service CPQ extends the platform to configure and quote service contracts, spare parts packages, and maintenance agreements on sold equipment. Used by companies including Siemens, ABB, and Sandvik.

Epicor CPQ (formerly KBMax, acquired by Epicor) distinguishes itself through the quality and completeness of its visual configuration capability. Where Tacton's strength is the depth of its engineering constraint engine, Epicor CPQ's differentiator is photorealistic 3D rendering of configured products that buyers interact with directly in a web browser — dragging, rotating, zooming, and customising the product they are configuring in real time without any specialist software. For manufacturers selling products where visual clarity of the configuration is a sales tool — furniture, modular buildings, custom vehicles, industrial racking systems — this buyer-facing 3D experience meaningfully accelerates deal confidence and reduces the back-and-forth specification clarification that slows quotes.

The automated engineering drawing generation outputs dimensioned technical drawings from the configured specification automatically, eliminating the hours that engineering teams spend manually drafting drawings for every custom quote. BOM and routing generation flows production-ready data directly into ERP so the path from quote to manufacturing is automated rather than manually re-entered. The web-based buyer portal lets customers self-configure within the guardrails the manufacturer defines, which scales the quoting process for high-volume product lines without linear rep headcount growth. Epicor CPQ integrates with Epicor ERP natively and also connects to Salesforce, HubSpot, and other CRM platforms through standard connectors.

QuoteWerks addresses a specific and genuine pain point in the IT reseller market that most enterprise CPQ platforms either do not know exists or do not care to solve: the need to pull live, current pricing from technology distributors like Ingram Micro, Tech Data, and Arrow directly into a quote without manually checking each product price on the distributor portal before adding it to a document. QuoteWerks integrates with the major technology distributors, allowing IT resellers to search more than 600,000 product SKUs by part number or description and pull current distributor pricing, availability, and lead time directly into the quote in seconds.

For IT resellers and managed service providers who build quotes containing dozens of hardware and software line items sourced from multiple distributors, this live pricing integration eliminates the most time-consuming and error-prone step in the quoting process. CRM integrations with Salesforce, HubSpot, ConnectWise, and Autotask sync quote data to the deal record and support management software used by MSPs. E-signature capability from all major providers is supported through integration so signed quotes do not require a separate tool. Peer quote comparison lets reps see how a quote compares to previous similar quotes, which improves pricing consistency across the team. The 30-day free trial allows genuine evaluation with real distributor data before any commitment.

Logik.io represents a genuinely new approach to CPQ configuration that has emerged from the limitations of traditional rules-based configurators. Legacy CPQ engines require every configuration rule to be manually defined by a CPQ administrator — as products evolve and catalogues expand, the rule maintenance burden grows until the configuration engine becomes the bottleneck for every product change. Logik.io's AI-native engine changes the fundamental model: rather than manually encoding rules, the AI learns from existing product data, past configurations, and constraint logic to guide sales reps through configuration with natural language interaction rather than form-based option selection.

The conversational CPQ interface allows a rep to describe what the customer needs in natural language — "they need a network infrastructure solution for a 500-person office with redundant connectivity and a 99.99% uptime SLA" — and the AI navigates the configuration to the correct product combination rather than requiring the rep to know which options to select from which menu. Logik.io is built as a configuration layer that can extend Salesforce CPQ, Commerce Cloud, or other front-end systems rather than replacing them — it addresses specifically the configuration complexity and speed problem that causes large enterprises with thousands of product SKUs to find traditional CPQ engines slow and error-prone. Used by Salesforce itself, Adobe, and other enterprise technology companies.