Best CPQ Software in 2026: Top Tools Compared

The best CPQ software in 2026 includes Salesforce Revenue Cloud, DealHub, Oracle CPQ, SAP CPQ, Conga CPQ, PROS Smart CPQ, Logik.io, Cincom CPQ, PandaDoc, and QuoteWerks, each suited to a different mix of product complexity, CRM and ERP stack, deal model, and team size. CPQ (Configure, Price, Quote) software automates product configuration, pricing rules, and quote generation so reps stop quoting in spreadsheets and start sending accurate, on-brand proposals fast. Instead of a sales engineer rebuilding a price sheet for every deal, the tool enforces valid product bundles, applies approved discounts and currencies, and outputs a signed-ready document synced to the CRM.

This guide compares the leading CPQ platforms with their 2026 positioning and pricing approach, shows how to choose the right one for your pricing complexity, weighs the real benefits against the failure modes, and covers the step that decides whether a closed quote turns into an accurate payout, because the quote is only half the deal.

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What is CPQ software?

CPQ software automates three jobs in the sales process: Configure (guide reps to valid product combinations), Price (apply pricing rules, discounts, and currencies automatically), and Quote (generate an approved, professional document synced to the CRM). It replaces manual spreadsheet quoting, which causes pricing errors, slow turnaround, and inconsistent discounting. CPQ is most valuable when your products are genuinely complex: bundles, tiers, usage-based pricing, or heavy configuration.

The category has shifted in 2026. The market is moving away from monolithic suites toward composable, API-first configuration engines, AI-assisted pricing, and unified quote-to-revenue platforms that fold subscription billing and revenue recognition into the same stack. Two events reshaped the landscape: Salesforce put its legacy standalone CPQ into end-of-sale in March 2025, steering buyers to Revenue Cloud, and DealHub acquired Subskribe in November 2025 to add subscription and usage billing to its CPQ. If you are evaluating fresh, the vendor's direction of travel matters as much as its current feature list.

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What CPQ software actually does

Beyond those three core jobs, modern CPQ platforms share a capability set worth using as comparison criteria:

• Product configuration: rules that block invalid bundles and surface the right add-ons, including engineer-to-order and multi-component products.
• Pricing and discount control: guardrails that protect margins under deal pressure, increasingly backed by AI-driven price guidance.
• Guided selling: question-led flows that steer reps to the best-fit configuration and reduce ramp time for new hires.
• Quote and proposal generation: branded documents, e-signature, and version control.
• Approval workflows: automatic routing when a discount or term exceeds policy.
• CRM and ERP integration: two-way sync with your Salesforce CRM, HubSpot, Microsoft Dynamics, or NetSuite (via native connector or open API), with deal updates pushed to channels like Slack.
• Subscription and usage billing: for SaaS deals, recurring terms, ramp deals, and consumption-based pricing handled inside the quote, not bolted on afterward.

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Who needs CPQ software?

CPQ earns its keep when quoting is slow, error-prone, or inconsistent, and that pain scales with two things: catalog complexity and the number of people quoting. A handful of common profiles get the most value:

• Manufacturers and industrial sellers: configurable or engineer-to-order products with dependencies, compatibility rules, and option pricing that no spreadsheet can police reliably.
• B2B SaaS and subscription businesses: tiered plans, seat-based and usage-based pricing, ramp deals, and multi-year terms that need consistent discounting and clean renewal data.
• IT resellers, MSPs, and distributors: high quote volume with live cost feeds, where margin slips the moment pricing is keyed by hand.
• Enterprises with approval governance: teams where discounts above a threshold must route to finance or leadership, and an audit trail is non-negotiable.

The practical signal that you need CPQ: reps spend hours rebuilding quotes, deals stall waiting on approvals, and finance finds pricing or discount errors after the fact. If quoting is fast and your catalog is three flat plans, you probably don't, yet, and a CRM-native quoting feature may cover you until complexity grows.

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Best CPQ software at a glance

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The 10 best CPQ software platforms in 2026

1. Salesforce Revenue Cloud

Salesforce Revenue Cloud is the default choice for teams already standardized on Salesforce CRM. It manages the full quote-to-cash process: product catalog, quoting, ordering, fulfillment, contracts, and billing, all on native Salesforce data with no connector to maintain. The standalone Salesforce CPQ (the former Steelbrick) entered end-of-sale in March 2025, so new buyers are directed to Revenue Cloud Advanced (RCA) for configuration and quoting and Revenue Cloud Billing (RCB) for invoicing. Existing CPQ customers keep full support, can renew, and can add licenses, but no new features ship to the legacy product.

Key features: guided selling, pricing and discount rules, approval workflows, contract lifecycle, and billing, unified on the Salesforce platform.

Pricing approach: per user and quote-based; CPQ historically listed around £75/user/month on top of a Sales Cloud Enterprise license (about £165/user/month), so budget for the full stack rather than the add-on alone. Get current numbers on request.

Pros: unmatched CRM data flow, deep ecosystem, end-to-end scope.

‍Cons: implementation is heavy, total cost is high once the platform is loaded in, and the CPQ-to-Revenue Cloud transition adds migration planning.

Best for: Salesforce-native enterprises that want quoting, contracts, and billing under one roof. In practice, teams already running Sales Cloud and Service Cloud rarely look elsewhere, because keeping quote data on the same platform removes an entire integration to build and maintain, and that data-gravity advantage usually outweighs a competitor's faster setup.

2. DealHub

DealHub is a strong mid-market pick known for guided selling and its buyer-facing DealRoom, a digital sales room that replaces static PDFs with a live, collaborative quote where buyers see exactly where approvals stand. Teams choose it for a faster implementation than legacy enterprise suites, often live in weeks rather than months, while keeping solid configuration and approval workflows. Its November 2025 acquisition of Subskribe added subscription management, usage metering, billing, and revenue recognition, moving DealHub from CPQ toward a unified quote-to-revenue platform.

Key features: guided selling, dynamic pricing, DealRoom, approval routing, and, post-Subskribe, subscription and consumption billing.

Pricing approach: custom quote across three tiers, CPQ+, CPQ + CLM, and Quote-to-Revenue, with third-party estimates around £60-83 per user per month, at or below Salesforce and below Oracle.

Pros: fast time to value, excellent buyer experience, increasingly broad revenue coverage.

‍Cons: no public pricing, and the newly merged billing stack is still settling in.

Best for: mid-market revenue teams that want modern guided selling and quick deployment without an enterprise rollout. It tends to win head-to-head against legacy suites when the buyer values time to value and a polished buyer experience over the deepest possible configuration engine.

3. Oracle CPQ

Oracle CPQ is an enterprise-grade platform aligned to large, ERP-heavy environments and complex manufacturing. It handles intricate configuration at scale and connects tightly to Oracle's broader CX and ERP stack, which is the main reason organizations standardized on Oracle pick it.

Key features: advanced configuration rules, pricing and discounting, subscription management, document generation, and deep ERP alignment.

Pricing approach: per user, commonly cited around £240/user/month, available on request.

Pros: handles serious complexity and volume, strong for global, multi-entity deployments.

‍Cons: implementation typically runs four to six months, the interface is less intuitive than newer tools, and cost sits at the top of the market.

Best for: large enterprises and manufacturers that need CPQ to operate at scale alongside Oracle ERP.

4. SAP CPQ

SAP CPQ makes the most sense when SAP is already your ERP backbone. The S/4HANA integration is tight, and multi-currency and multi-language support is built in rather than added later, which matters for global enterprises selling across regions and regulatory regimes.

Key features: configuration, pricing, quoting, and order management with native flow into SAP ERP, plus strong localization for international selling.

Pricing approach: pricing on request, typically enterprise-tier and quoted as part of a broader SAP estate.

Pros: unbeatable fit for SAP shops, robust localization, scales to large catalogs.

‍Cons: limited appeal outside the SAP ecosystem, and configuration and rollout demand specialist resources.

Best for: global enterprises running SAP S/4HANA that want CPQ inside the same data model.

5. Conga CPQ

Conga CPQ (the former Apttus) is built for enterprises with genuinely complex configuration and contract needs, and it pairs CPQ with contract lifecycle management. Where quotes turn into long proposals with complex terms, the document automation and CLM are hard to beat, and its interface is generally considered easier to learn than Oracle or SAP.

Key features: advanced configuration, pricing rules, document generation, e-signature, and integrated CLM.

Pricing approach: pricing on request, enterprise-tier.

Pros: best-in-class document and contract automation, more approachable UI than the largest suites, CRM-agnostic.

‍Cons: still an enterprise implementation, and you pay for the full breadth even if you only need part of it.

Best for: enterprises that need deep configuration and contract management together in one platform.

6. PROS Smart CPQ

PROS Smart CPQ differentiates on the "P." Most CPQs handle Configure and Quote well but treat pricing as static lookup tables; PROS applies pricing science and AI to recommend optimal, margin-aware prices per deal based on market and historical data. It is a natural fit for manufacturers and distributors with sophisticated, dynamic pricing strategies.

Key features: AI price optimization and guidance, configuration, quoting, and analytics that surface willingness-to-pay signals.

Pricing approach: pricing on request, enterprise-tier.

Pros: the strongest dynamic pricing engine in the category, measurable margin impact.

‍Cons: configuration-heavy products may need integration planning, and the pricing science is wasted on simple, flat catalogs.

Best for: manufacturers and distributors whose competitive edge is pricing precision.

7. Logik.io

Logik.io, now part of ServiceNow, is a composable, API-first configuration engine rather than a full quoting suite. Teams use it to extend an existing CPQ, removing limits like bundle-size caps and enabling flexible deal structures and faster guided selling. With ServiceNow entering the CPQ space aggressively, Logik.io's engine is central to a more modern, headless approach to configuration.

Key features: high-performance product configuration, guided selling, and an API-first architecture that plugs into Salesforce and other CPQs.

Pricing approach: pricing on request.

Pros: handles configuration complexity that legacy engines choke on, composable and future-friendly.

‍Cons: it is a configuration layer, not standalone quote-to-cash, so you pair it with a quoting and billing system.

Best for: teams whose core bottleneck is configuration complexity and who want to modernize without ripping out their CPQ.

8. Cincom CPQ

Cincom CPQ is purpose-built for engineer-to-order and highly configurable manufactured products, and for the long, intricate sales cycles that go with contract manufacturing. Standout capabilities include 3D modeling and visualization, a built-in ROI calculator, and strong enterprise integration.

Key features: complex product configuration, 3D visualization, guided selling, document generation, and ERP integration.

Pricing approach: pricing on request.

Pros: excels at the hardest configuration problems, visualization helps buyers understand complex builds.

‍Cons: overkill for software or simple catalogs, and modeling intricate products takes upfront effort.

Best for: manufacturers selling engineer-to-order or heavily configurable physical products.

9. PandaDoc

PandaDoc leans toward the proposal and document side of quoting, with strong e-signature and workflow. It is a good fit for teams whose priority is how the quote is presented and signed, with lighter configuration needs, and it serves a broad range of industries as an all-in-one document platform.

Key features: proposal and quote generation, e-signature, payment collection, templates, and contract automation.

Pricing approach: tiered and transparent, from a free tier through Starter around £19/seat/month and Business around £49/seat/month, with custom Enterprise pricing.

Pros: accessible pricing, fast to adopt, excellent document experience.

‍Cons: configuration and pricing-rule depth is light next to dedicated CPQ engines, so complex bundles outgrow it.

Best for: SMB and mid-market teams that need polished quotes and proposals more than heavy configuration.

10. QuoteWerks

QuoteWerks is a long-established, pragmatic option favored by SMBs and IT/channel resellers and MSPs. It delivers core quoting and configuration without the weight of an enterprise rollout and connects to a wide range of CRMs and distributors, which is why smaller teams that need to move fast keep choosing it.

Key features: quoting and configuration, distributor and CRM integrations, real-time pricing feeds for IT resellers, and modular add-ons.

Pricing approach: tiered per-license pricing that starts low and scales with seats and modules, the most entry-friendly on this list.

Pros: affordable, quick to stand up, strong fit for reselling hardware and software.

‍Cons: the interface shows its age, and it is not built for enterprise-grade configuration complexity.

Best for: SMBs, MSPs, and IT resellers under a few million in ARR that need practical quoting on a budget. For resellers in particular, the live distributor pricing feeds are the deciding feature, since quoting hardware at stale costs is the fastest way to give away margin.

Other tools to consider

Experlogix specializes in configurable products and integrates tightly with Microsoft Dynamics 365 and Salesforce, with deployments typically live in four to eight weeks, a fit for Dynamics shops with complex, multi-component deals. Freshworks bundles lightweight CPQ into its CRM suite for SMB teams, and HubSpot handles basic quoting within its Commerce tools for companies already on HubSpot. Match the shortlist to your billing model and existing stack, not to brand familiarity.

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CPQ software trends to know in 2026

The category looks different than it did even two years ago. Four shifts should shape any 2026 buying decision:

• From suites to composable, API-first engines. Buyers increasingly want a configuration engine they can embed anywhere rather than a monolithic suite. Logik.io's rise inside ServiceNow is the clearest example: configuration as a headless service that plugs into the CRM and CPQ you already run.
• AI-assisted pricing and quoting. Pricing science, once a PROS specialty, is becoming a baseline expectation. Vendors now market AI that recommends margin-aware prices, drafts quote language, and flags risky discounts before they ship, moving CPQ from rule-enforcement toward decision support.
• Convergence into quote-to-revenue. The line between CPQ, subscription billing, and revenue recognition is blurring. Salesforce folded CPQ into Revenue Cloud, and DealHub's Subskribe acquisition added billing and rev-rec, so a single platform increasingly owns the deal from configuration through recognized revenue.
• Consumption and hybrid pricing as first-class citizens. Usage-based and hybrid models are now common in SaaS, and CPQ tools that can only quote fixed quantities are losing ground to those that meter, rate, and bill consumption natively.

The implication for buyers: weigh where a vendor is heading, not just its current feature grid. A tool acquired into a larger platform, or built API-first, will likely look very different in eighteen months, and that direction should match your own roadmap.

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CPQ software vs CRM quoting: when do you actually need CPQ?

Most CRMs ship with basic quoting. Salesforce, HubSpot, and Microsoft Dynamics can all generate a quote, apply a simple discount, and attach a PDF to an opportunity. So the real question for many teams isn't "which CPQ," it's "do I need one beyond what my CRM already does?"

Native CRM quoting is enough when your catalog is short, your pricing is mostly flat, discounts follow simple rules, and one or two people quote. It keeps everything in the system of record with zero extra cost or integration. The moment you hit product dependencies, tiered or usage-based pricing, multi-currency deals, mandatory approval routing, or a sales team large enough that discounting drifts, basic quoting starts to break, and reps quietly move back to spreadsheets to handle what the CRM can't.

That is the line where dedicated CPQ pays for itself: it enforces valid configurations, protects margin with guardrails, and routes approvals automatically, none of which lightweight quoting does well. A useful rule of thumb: if your reps regularly export a quote into Excel to "make it work," your CRM quoting has been outgrown and a CPQ is the next step. If they never do, you may be buying complexity you don't need yet.

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How to choose CPQ software

Match the tool to your pricing complexity, not to a competitor's stack. Weigh five criteria:

• Product complexity: heavy configuration, bundles, and engineer-to-order products justify enterprise CPQ; simple flat-rate SaaS often does not.
• CRM and ERP fit: native integration with your Salesforce CRM, HubSpot, Microsoft Dynamics, or NetSuite (via connector or open API) should be non-negotiable, because a CPQ disconnected from your system of record recreates the data silos you bought it to remove.
• Time to adoption: long, rigid rollouts are the top reason CPQ projects stall and reps revert to spreadsheets. Enterprise suites like Oracle and Conga run four to six months; tools like DealHub deploy in weeks.
• Deal model: if you sell subscriptions, ramp deals, or usage-based pricing, prioritize a platform with native subscription and billing support rather than one built for one-time hardware quotes.
• Total quote-to-cash scope: decide whether you need CPQ alone or contracts, billing, and revenue recognition too, and remember CPQ stops at the signed quote.

A candid caveat from watching these projects: if you sell two or three simple subscriptions, full CPQ can add more complexity than it removes. Many "failed CPQ" projects bought the tool for a problem they didn't have. Run a short pilot on your messiest real deals before signing an enterprise contract; the tool that survives your hardest quote is the one to buy.

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How to implement CPQ without stalling adoption

The tool rarely fails; the rollout does. CPQ projects derail when teams model every theoretical product rule before a single rep sends a quote, then ship a system so rigid that sellers route around it. A few practices keep implementations on track:

• Start with your top deals, not your whole catalog. Configure the 20% of products that drive 80% of revenue first, ship, then expand. A live system covering most deals beats a perfect one that never launches.
• Clean the price book before you migrate it. CPQ enforces whatever rules you give it, including the wrong ones. Garbage pricing in means garbage quotes out, faster.
• Bring reps in early. The people quoting daily know the edge cases and the shortcuts. Co-designing guided-selling flows with them is the single biggest driver of adoption.
• Set guardrails, not handcuffs. Approval thresholds should catch the deals that genuinely need review and let everything else flow. Over-routing trains reps to see CPQ as friction.
• Plan the downstream handoff. Decide on day one how closed quotes feed contracts, billing, and commissions, so the deal data flows instead of getting re-keyed at each stage.

Expect weeks for a focused mid-market deployment and four to six months for an enterprise suite with deep configuration. Budget for ongoing administration too: pricing, products, and rules change, and a CPQ no one maintains drifts out of date within a quarter.

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Benefits of CPQ software: advantages and disadvantages

CPQ is a trade-off. The advantages are real, but so are the failure modes, and one disadvantage points straight to where the tool hands the deal off to the rest of your revenue stack.

That last disadvantage is the one teams feel most after go-live. CPQ perfects the quote, then hands the closed deal to a spreadsheet, where the commission gets recalculated by hand. The method's logic (automate the rules, remove manual error, give everyone one source of truth) is exactly right; it just stops one step short of the rep's paycheck.

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CPQ is only half the deal: connecting quotes to commissions

This is where CPQ hands off, and where the right adjacent tool turns a good quoting process into a complete one. The same principles that make CPQ valuable (automated rules, no manual error, one source of truth) apply just as much to the commission that the closed deal triggers. The pricing, product mix, and discounts the CPQ locked in are the exact inputs a commission needs, yet most teams re-key them by hand into a spreadsheet, reintroducing the very errors CPQ just removed.

Qobra isn't a CPQ tool; it's the sales compensation layer that takes over the moment a CPQ-built quote closes. It reads the same deal data your CPQ produced and turns it into the rep's commission automatically: calculated in real time, visible to the rep on their own dashboard, and fully auditable for finance, with no spreadsheet and no re-keying. It pairs with any CPQ in your stack. When your CRM, CPQ, and incentive compensation management share one source of deal data, the quote-to-commission handoff is automatic. For Salesforce teams, that's what a clean Salesforce commission integration delivers, and you can map the full chain across Qobra's CRM and CPQ integrations.

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Frequently asked questions

What is the best CPQ software?

It depends on fit: Salesforce Revenue Cloud for Salesforce-native enterprises, DealHub for mid-market speed, Oracle and SAP for large ERP-driven environments, Conga for complex configuration plus contracts, PROS for dynamic pricing, and QuoteWerks or PandaDoc for SMBs. Shortlist on your pricing complexity and existing stack, not on brand recognition.

How much does CPQ software cost?

Most enterprise CPQ is quote-based and quoted per user. Public anchors in 2026 include DealHub around £60-83/user/month, Salesforce CPQ historically around £75/user/month on top of a Sales Cloud license, and Oracle CPQ around £240/user/month. SMB tools like QuoteWerks and PandaDoc start far lower, from roughly £19-49 per seat per month.

Is Salesforce discontinuing CPQ?

Salesforce put the standalone Salesforce CPQ into end-of-sale in March 2025 and directs new customers to Revenue Cloud. Existing CPQ customers remain fully supported, can renew, and can add licenses, but no new features are being added to the legacy product.

What is replacing CPQ?

Not the category itself. CPQ capabilities are increasingly bundled into broader quote-to-revenue and revenue lifecycle platforms, alongside faster-to-deploy, API-first tools. The "C", "P", and "Q" still need doing; they are just packaged with subscription billing and revenue recognition more often.

Is Salesforce a CPQ tool?

Salesforce is a CRM; CPQ is an add-on capability (now within Revenue Cloud) that runs on top of it to handle configuration, pricing, and quoting.

What is the difference between CPQ and billing?

CPQ produces an accurate, approved quote before the deal closes; billing turns the signed deal into invoices and recognized revenue afterward. Many 2026 platforms now span both, but commission on the closed deal sits in a separate layer, which is where a tool like Qobra fits.

What features should I look for in CPQ software?

Prioritize the capabilities your deals actually stress: product configuration rules, flexible pricing and discount guardrails, guided selling, automated approval routing, branded quote and proposal generation with e-signature, and native CRM and ERP integration. If you sell subscriptions or usage, add native recurring and consumption billing to that list. Ignore feature breadth you won't use; the best CPQ for you is the one that handles your hardest quote, not the one with the longest spec sheet.

Does CPQ integrate with my CRM?

Yes. Every serious CPQ connects to major CRMs, either natively or through an open API. Salesforce Revenue Cloud runs inside Salesforce; tools like DealHub, Conga, and QuoteWerks offer connectors for Salesforce, HubSpot, and Microsoft Dynamics. Two-way sync is the point: the CPQ should read opportunity data and write the finished quote back, so your CRM stays the system of record and the same deal data can flow downstream to billing and commissions.

Once you've shortlisted a CPQ, make sure the commission on every closed quote is just as accurate and transparent. Book a demo to see how Qobra turns CPQ-closed deals into real-time, 100% reliable commissions.

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