CPQ Software Buyer's Guide
If your sales team spends more time building quotes than closing deals, or pricing errors and approval bottlenecks are slowing down your revenue cycle, the problem is rarely the sales team. It is usually the absence of a structured, automated quoting process. Configure, Price, Quote software exists to solve exactly that problem, and once it is embedded in how every deal reaches a customer, replacing it later is disruptive enough that most businesses go to considerable lengths to avoid it. That makes the initial selection worth getting right the first time. This guide sets out a definitive, practical process for choosing CPQ software: what it actually does, who the leading suppliers are, the terminology you will hear from vendors, how to run a structured selection, and the mistakes that most often derail a CPQ project.
This blog focuses on process and knowledge rather than ranking individual vendors in depth. For an independent view of the leading CPQ platforms across enterprise and mid-market tiers, see our CPQ Software Options 2026 post, which this guide references throughout. Viewpoint Analysis is a Technology Matchmaker: we help sales and revenue operations leaders find and select the right technology fast. This is our viewpoint on how to run that process well.
What This Guide Covers
• CPQ Software - the basics: what it is, what it does, why companies buy it, and how it has developed
• CPQ Key Suppliers: a short, independent view of who the leading vendors are
• CPQ Terminology: the key words worth knowing before you speak to vendors
• How to Run a CPQ Selection Process: a step-by-step approach from requirements to contract
• What to Include in a CPQ RFP: the criteria a good RFP should cover, explained
• Common CPQ Buying Mistakes: the pitfalls that most often derail a selection
CPQ Software - the Basics
CPQ stands for Configure, Price, Quote, and the name captures the three core problems the software solves. Configuration handles the complexity of defining what a customer can buy: which product options are compatible, which combinations are valid, and what the resulting specification actually looks like. Pricing applies the right price to that configured product, taking into account volume discounts, customer-specific agreements, regional pricing, promotional rules, and margin thresholds. Quoting assembles the configured, priced solution into a professional, accurate proposal that can be sent to the customer and tracked through approval and negotiation.
What the software does has grown well beyond generating a document. A modern CPQ platform typically covers guided selling that walks a sales rep through valid configurations, multi-step approval workflows for discounts and non-standard terms, integration with CRM opportunity data, and increasingly contract generation, e-signature, and subscription billing connectivity. For businesses selling straightforward products at fixed prices, a CRM or ERP system is usually sufficient for quoting. CPQ becomes essential once products are configurable with interdependent options, pricing involves multiple discount tiers or dynamic market-based logic, or the quoting process involves several approvals and legal review.
Organisations buy CPQ software for three main reasons. The first is speed: turning a quote around in minutes rather than days materially shortens the sales cycle and reduces the chance a deal stalls waiting on paperwork. The second is accuracy: removing manual, spreadsheet-based configuration and pricing eliminates the errors that cost margin or, worse, commit a business to selling something that cannot actually be delivered as specified. The third is control: a structured approval workflow gives finance and sales leadership genuine visibility and governance over discounting, rather than relying on individual reps to apply policy consistently on their own.
The category has changed considerably as a result. Early CPQ tools were narrow, rules-based configurators bolted onto a CRM. The market has since matured in two directions at once. AI-driven pricing guidance, which recommends a deal-specific price based on historical win and loss data rather than a static discount table, is now expected as standard at the enterprise end of the market. At the same time, the boundary between CPQ and adjacent categories, particularly contract lifecycle management and revenue lifecycle management, has blurred considerably, with many vendors extending their platforms to cover contract generation, subscription management, and revenue recognition rather than remaining a standalone quoting tool.
CPQ Key Suppliers
The CPQ market spans CRM-native platforms, ERP-integrated suites, pricing-led specialists, and manufacturing-focused configuration engines. Our CPQ Software Options report on this sector covers the following vendors in detail:
• Salesforce CPQ (Revenue Cloud) - the most widely deployed CPQ platform for Salesforce CRM customers, built natively on the Salesforce platform to eliminate the integration complexity that affects most CPQ deployments.
• Oracle CPQ - one of the most established enterprise CPQ platforms, with particular strength in complex product configuration, guided selling, and integration with Oracle ERP and Oracle CX Sales.
• SAP CPQ - SAP's configure, price, quote solution, integrated with SAP Sales Cloud and SAP S/4HANA to provide a connected sales-to-order process for organisations already running SAP.
• Conga CPQ - a major enterprise platform that absorbed Apttus CPQ and has positioned itself as a revenue lifecycle management suite, combining CPQ with contract lifecycle management, document generation, and e-signature.
• Vendavo - a specialist pricing and CPQ platform with particular depth in price optimisation, margin management, and AI-driven deal guidance for manufacturers and distributors with complex, market-sensitive pricing.
• PROS Smart CPQ - an AI-native pricing and CPQ platform with a strong heritage in airline and hospitality pricing, using machine learning to recommend deal-specific prices based on historical data and market conditions.
• Tacton CPQ - a specialist platform built for complex manufacturing, using a constraint solver rather than a traditional rules engine to handle very large product option spaces for engineered-to-order manufacturers.
• Logik.io - a newer entrant using a logic-based configuration engine designed to integrate with Salesforce CPQ and other CRM platforms rather than replace them, aimed at businesses whose product complexity has outgrown native CRM configuration.
• Experlogix - a platform with strong native integration into Microsoft Dynamics 365 and Dynamics NAV/Business Central, the natural CPQ choice for organisations running Microsoft as their ERP and CRM backbone.
• DealHub - a revenue platform combining CPQ, contract management, subscription management, and digital sales rooms in a single connected suite, with a strong following among SaaS and technology companies.
This list gives a starting orientation only, and is trimmed from a wider vendor set to the suppliers most relevant to a typical CPQ buyer. For a fuller independent view of each vendor, including which type of buyer each one suits best, read the full CPQ Software Options 2026 report.
CPQ Terminology
CPQ vendors use a specific vocabulary, and it is worth knowing the key terms before you start talking to them. These words are useful both for understanding what a vendor means when they use them, and for asking sharper questions of your own during a selection process.
• Rules engine: the traditional configuration approach, where if-then logic defines which product options are compatible; it can become difficult to maintain once the number of options and combinations grows very large.
• Constraint solver: an alternative configuration approach used by specialist manufacturing platforms, which maps the full logic of a product mathematically rather than through individual rules, better suited to very large option spaces.
• Guided selling: a CPQ feature that walks a sales rep step by step through valid configuration choices, reducing errors and shortening the time it takes an inexperienced rep to build an accurate quote.
• Approval workflow: the set of rules that route a quote for sign-off when it falls outside standard pricing or terms, giving finance and sales leadership governance over discounting.
• Deal desk: the internal team, common in larger organisations, responsible for reviewing non-standard quotes and pricing exceptions before they go to a customer; CPQ approval workflows typically formalise this process.
• Price optimisation or deal guidance: AI-driven functionality that recommends a specific price for a deal based on historical win and loss data, customer behaviour, and market conditions, rather than a static discount table.
• Quote-to-cash: the end-to-end process from generating a quote through to collecting payment, which CPQ increasingly connects to via contract generation, e-signature, and billing integration.
• CLM (Contract Lifecycle Management): the category covering contract creation, negotiation, e-signature, and renewal management; a growing number of CPQ vendors now bundle CLM capability into their platform.
• RLM (Revenue Lifecycle Management): a broader positioning some CPQ vendors have adopted, extending from quoting through contracting, billing, and revenue recognition as a connected suite rather than a single tool.
• Subscription billing: the functionality needed to quote and then bill recurring, usage-based, or tiered subscription products, relevant to any CPQ evaluation involving SaaS or subscription pricing models.
• Product catalogue: the structured record of every product, option, and price a business sells, which the CPQ configuration engine draws on; the quality of the underlying catalogue data has a direct effect on how well CPQ performs.
How to Run a CPQ Selection Process
The steps below cover a full CPQ selection, from first requirements through to a signed contract. Each step links to a Viewpoint Analysis resource that can help you complete it.
1. Define requirements and success criteria
Before looking at any vendor, be honest about where your complexity actually sits: configuration, pricing, or quoting workflow. These are related but genuinely distinct problems, and the strongest platform for one is not necessarily the strongest for another. This step is also worth doing properly because it produces reusable content for vendor conversations later in the process rather than only an internal planning exercise.
2. Build a longlist
With requirements agreed, build a longlist of vendors worth a closer look. The free Longlist Builder generates a tailored list of CPQ vendors matched to your product complexity and CRM environment in a few minutes, without registration.
3. Shortlist and issue an RFI or RFP
Narrow the longlist to three to five vendors and issue a structured RFI or RFP so responses can be compared on a like-for-like basis. See the section below on what to include in a CPQ RFP.
This step also works well alongside the IT Buyer Help services, which can support you through the wider search and shortlisting process if you would prefer more hands-on guidance.
4. Run demos and structured evaluation
Score each vendor demo against the same criteria, with input from sales, revenue operations, and finance. Ask vendors to configure and price a genuinely complex example from your own product catalogue rather than a simplified demo scenario built to look impressive.
5. Check references and completed implementations
Speak to at least one reference customer with similar product or pricing complexity to your own, and ask specifically about implementation timeline, how much of the configuration required specialist consultant support, and how quickly the sales team actually adopted the platform.
6. Negotiate and contract
Confirm pricing basis, what happens to cost as user numbers or transaction volume grow, data export rights if you leave the platform, and support commitments before signing. CPQ contracts often run several years and become deeply embedded in the sales process, so it is worth the extra time at this stage.
7. Plan for implementation and adoption
Agree a rollout plan covering product catalogue data migration, configuration and pricing rules build, sales rep training, and an owner for maintaining rules as the product catalogue evolves. A CPQ platform only delivers its business case once sales reps are actually using it in place of the spreadsheets and email threads it was bought to replace.
What to Include in a CPQ RFP
A CPQ RFP works best when it asks vendors to respond against criteria specific to this category, rather than a generic sales software checklist. The sections below explain what to ask for and, just as importantly, why each one matters.
Configuration engine depth
Ask vendors to configure a genuinely complex example from your own product catalogue, and ask specifically whether the platform uses a rules engine or a constraint solver. This matters because a rules-based configurator that works well for a moderate number of product options can become unmanageable at the scale some manufacturers and technology businesses actually operate at.
Pricing and discount logic
Ask how the platform handles the specific pricing complexity your business has, whether that is volume tiers, customer-specific contract pricing, regional pricing, or promotional rules layered together. This matters because pricing logic that looks flexible in a generic demo can prove rigid once your actual discount structure is loaded into it.
CRM and ERP integration
Ask whether the platform is native to your CRM or ERP, or connects through a separate integration layer, and what ongoing maintenance that integration requires. This matters because a CPQ tool native to the system your sales team already works in carries a materially lower integration burden than a best-of-breed platform connected by API.
Approval workflow and quote governance
Ask how the platform routes a quote for approval when it falls outside standard pricing or terms, and how easily those rules can be changed as policy evolves. This matters because a rigid or overly complex approval workflow gets worked around by sales reps just as quickly as no workflow at all.
AI-driven pricing guidance
Where a vendor offers AI-driven deal guidance or price optimisation, ask them to explain specifically what data it uses and how mature it is in live customer deployments similar to yours, rather than accepting it as a slide in the demo. This capability varies considerably in maturity between vendors even where the marketing language sounds similar.
Contract generation and e-signature
Ask whether contract generation and e-signature are native to the platform or require a separate CLM tool, and how the two would need to integrate if they do. This matters because a growing number of CPQ vendors now bundle this capability, and understanding whether you actually need it native or can keep it separate affects both cost and complexity.
Subscription billing and revenue recognition
If you sell subscription or usage-based products, ask specifically how the platform connects quoting to billing and revenue recognition, including support for contract amendments and ASC 606 or IFRS 15 requirements. This matters because subscription pricing complexity, with tiers, add-ons, and mid-term amendments, is exactly where generic CPQ platforms most often fall short.
Total cost of implementation
Ask vendors for reference customer implementation timelines and total costs, rather than headline licence pricing alone. This matters because professional services, data migration, and rules configuration frequently exceed licence costs significantly in enterprise CPQ deployments, and a low headline price can mask a much larger real cost.
Common CPQ Buying Mistakes
The same handful of mistakes account for most CPQ selections that go wrong, and nearly all of them happen before a contract is ever signed. The most frequent is misdiagnosing where the actual complexity sits before evaluating platforms. A manufacturer with thousands of interdependent product variants needs a powerful configuration engine, a distributor with complex customer-specific pricing needs pricing sophistication, and a technology company selling subscription bundles may simply need fast, professional quoting. Evaluating vendors against the wrong problem produces a platform that looks strong in a generic demo but does not fit the deal flow it is actually meant to support.
A closely related mistake is choosing a CRM-native CPQ tool by default without testing whether it can actually handle your configuration or pricing complexity. Native integration is a genuine advantage, but it is not automatically enough, and some organisations discover mid-implementation that their native CPQ option cannot support the product logic they need without extensive customisation.
Rules and configuration maintenance is very often underestimated as an ongoing cost rather than a one-time implementation task. Product catalogues change constantly, and a platform that requires specialist consultant support for every catalogue update or pricing change accumulates cost well beyond the initial project.
CRM alignment is also frequently under-weighted during evaluation. Choosing a best-of-breed platform for its configuration or pricing strength without properly costing the integration effort against your CRM can turn a strong platform decision into a difficult and expensive implementation.
Reference checks are frequently skipped or rushed, usually because a selection process is already running late and a reference call feels like an easy step to compress. A short conversation with a genuinely comparable customer, focused specifically on implementation timeline and how much specialist support was needed, is one of the most reliable ways to catch a total cost of ownership problem a vendor's own answers will not surface.
Finally, many organisations select a platform well but under-invest in sales rep adoption, assuming a well-configured system will drive its own usage. A CPQ platform only delivers its business case once reps actually use it in place of the spreadsheets and manual processes it replaced, and that requires training and a named owner beyond a successful implementation.
Talk to Viewpoint Analysis
If you are currently evaluating CPQ software and would value independent guidance through the process, or you are a vendor in this space interested in future content and matchmaking opportunities, we would be glad to hear from you. Request a call and we will be in touch promptly.
