How to Choose the Right B2B Pricing Software in 2026 for Your Subscription Business

🚨 The Challenge: Deals Are Still Slipping Even With Your Subscription Model in Place

You’ve built structured plans: tiers, usage-based pricing, and annual discounts. But deals still stall. Buyers hesitate. Push back. Ask for flexibility. And momentum dies.

📊 That’s why most SaaS teams now revise pricing at least once a year. They're hoping to boost conversions or reduce resistance.

But this isn’t just about pricing structure. It’s about shifting buyer expectations: flexible terms, low-risk commitments, and deal timing that works for them.

Choosing pricing software is a strategic decision here. But many tools weren’t built for this shift. They just automate the same friction.

To help you make an informed decision, we will break down the promises of B2B pricing software, the top platforms available, and a cost-effective alternative: Ratio Boost

👇 So, let’s start with the basics.

🧰 What Is B2B Pricing Software and Why Is It a Necessity in 2026?

B2B pricing software refers to specialized tools designed for business-to-business environments to analyze, manage, optimize, and execute pricing strategies. 

Unlike consumer-facing tools, these platforms are built to handle the nuances of enterprise sales. Like dynamic pricing models, multi-tier customer segmentation, and negotiation workflows across complex sales cycles.

🔧 Core Functions

At the operational level, B2B pricing software helps teams:

• Automate calculations for custom deal structures
• Enforce discount controls and approval workflows
• Integrate with CRM, CPQ, and ERP systems for real-time data
• Use machine learning to recommend pricing based on deal history, competitor trends, and market signals

In essence, it turns pricing into a system, not a spreadsheet.

🧠 Key Types of B2B Pricing Software

Depending on your needs, software often falls into four categories:

• Pricing Analytics: Surfaces historical data and deal trends to uncover profitable pricing patterns.
  
  
• Price Management: Centralizes pricing rules—whether list, matrix, or customer-specific structures.
  
  
• Price Optimization: Uses AI to recommend price changes that maximize revenue or margin.
  
  
• Price Execution: Automates quoting and approval flows to reduce lag and enforce policy.

Many modern platforms combine elements of all four.

But understanding what these tools do is just the starting point. The real question is: why do SaaS teams need them now more than ever?

Let’s unpack that.

📈 Why Is B2B Pricing Software Essential for SaaS Teams in 2026?

B2B SaaS pricing is no longer just about picking a number and publishing a plan. In 2026, it's a live system. You are constantly reacting to buyer behavior, product usage, competitor moves, and internal revenue goals.

Without pricing software, most teams rely on manual processes, spreadsheet hacks, and siloed approvals. That’s manageable at low volume. But it breaks as soon as you scale.

Here’s why more teams now consider pricing software a must-have:

🧩1. Pricing Complexity Beyond Simple Models

SaaS pricing has evolved far beyond simple flat or tiered pricing. Today’s teams increasingly combine:

• tiered subscriptions
• usage‑based charges
• hybrid models
• add‑ons and feature bundles

This complexity makes manual or spreadsheet pricing unsustainable because it’s hard to balance simplicity for buyers with revenue and value capture for sellers. Complex structures often lead to confusion and inconsistency without tooling support. 

📊2. Difficulty Deciding How to Price Strategically

Pricing is no longer a static decision. It must be:

• data‑driven, not gut‑based
• aligned with usage patterns
• optimized against customer segments

Teams that try to manage pricing with spreadsheets or ad‑hoc processes can’t effectively analyze elasticity, segmentation, or buyer response patterns. And this is essential for growth.

🔄3. Frequent Pricing Revisions Without Insight

SaaS leaders regularly change pricing to respond to customer pushback or market conditions. But without structured insight into whether a change worked or not, each revision becomes guesswork.

Industry pricing advice emphasizes that pricing changes need:

• analytics
• buyer segmentation
• performance feedback

Otherwise, you’re reacting instead of optimizing. 

💬4. Buyer Expectations for Flexible Pricing

Discussions from SaaS communities and pricing analysis show real buyer frustration around rigid pricing frameworks. Users dislike being locked into static or “per‑seat” models as they scale their own businesses, which often leads to:

• stalled deals
• negotiation friction
• churn
• lost revenue opportunities

This buyer feedback indicates that expectation mismatch in pricing is a structural problem, not just a cosmetic one.

🧾5. Subscription Billing Adds Layers of Complexity

As subscription models grow, teams face challenges around:

• How and when to recognize revenue
• How to handle billing cycles
• How to manage renewals and upgrades
• How to track usage‑based terms

Without pricing software integrated into CPQ/billing workflows, teams experience friction in how pricing rules translate into cash flow and revenue operations.

(This is also a documented SaaS operational challenge broadly discussed in industry guides.) 

🔍 6. Lack of Real‑World Pricing Insight

Reddit discussions often show that manual pricing decisions often miss real buyer signals.  Such as willingness to pay, feature value perception, and trade‑offs, simply because teams lack systematic feedback loops. 

This becomes a competitive disadvantage when pricing is a core part of the buying decision.

🤝7. Fragmented Internal Alignment

Even beyond pricing logic itself, teams struggle to coordinate pricing decisions across:

• sales
• finance
• RevOps
• product

Each team may use different systems (CRM, spreadsheets, manual approvals), leading to inconsistent pricing application, slow approvals, and internal mismatches. 

While these are some solid reasons a team needs pricing software, it’s equally important to first understand what B2B pricing software commonly offers.

💡 What Are the Most Common Features a B2B Pricing Software Offers Today?

To understand today’s B2B pricing software, think of it as a pricing engine. The one that helps complex businesses automate pricing and avoid the confusion and errors that often come with spreadsheets. Because these challenges are common, leading platforms like Pricefx, Vendavo, Zilliant, and PROS tend to offer similar core capabilities that solve real business problems. 

Below, each feature is explained through a simple business scenario, so you can clearly see not just what it does, but why it matters.

🚀 1. Configure, Price, Quote (CPQ) & Sales Integration

• What it does: Automates quoting by connecting pricing rules directly to CRM and sales workflows.
• Why it matters: Without this, sales reps manually assemble quotes, increasing errors and slowing deal velocity. When CPQ is integrated, reps can generate accurate, approved quotes on the first try — essential for complex subscriptions.

📊 2. Pricing Analytics & Performance Dashboards

• What it does: Turns raw pricing data into actionable insights — e.g., margin shifts, discount trends, and segment performance.
• Why it matters: Teams need to understand how pricing decisions impact revenue and margin. Without analytics, pricing remains guesswork.

⚖️ 3. Price Management & Rule Execution

• What it does: Centralizes pricing rules — lists, matrices, customer tiers — and enforces them consistently across channels.
• Why it matters: In B2B, prices vary by customer segment, geography, product mix, and negotiated terms. Manual rule enforcement leads to errors and margin leakage; price management brings governance and consistency.

🤖 4. Price Optimization Engines

• What it does: Studies historical deals and external data to suggest strategic pricing that can improve conversion or margin.
• Why it matters: When pricing is static or gut‑based, teams leave money on the table. Optimization uses analytics to recommend better price points.

📦 5. Flexible Pricing Models (Tiered, Usage‑Based, Hybrid)

• What it does: Supports different pricing structures that reflect how customers consume SaaS products.
• Why it matters: Modern subscription businesses don’t fit into one flat price; buyers expect usage‑aligned or hybrid plans. Tools that support this reduce friction and errors in billing and quoting.

🗂️ 6. Segment & Customer‑Specific Pricing

• What it does: Lets admins define pricing rules for different customer cohorts — e.g., enterprise vs SMB — or contract types.
• Why it matters: In B2B, one size rarely fits all. Tailored pricing preserves value while enabling negotiation strength.

🛠️ 7. Approval Workflows & Compliance Controls

• What it does: Embeds business rules for discount limits and exception approvals so pricing changes follow governance before they reach the customer.
• Why it matters: Without guardrails, reps can over‑discount, eroding margin; approvals ensure controls without blocking deal velocity.

📄 8. Versioning & Audit Trails

• What it does: Preserves historical pricing rules and approvals so teams can see why certain prices were set and who authorized them.
• Why it matters: Pricing is a living decision; auditability ensures accountability and faster troubleshooting.

Let’s pause here.

We’ve covered a lot of ground — from CPQ to pricing analytics, optimization engines to approval workflows. But it helps to zoom out.

🧩 What do these features actually unlock for your business?

Here’s a quick recap to connect each capability with what it makes possible in your day-to-day operations:

So, now that you know what core features to expect from pricing software…

🧭 The next question is obvious: Which platforms actually deliver on these capabilities?

There’s no shortage of options. But not all are built the same. Some tools go deep on analytics. Others focus on execution or deal flow.

Let’s walk through five of the most trusted B2B pricing software solutions in 2026. 

💡 What Are the Top B2B Pricing Software Platforms Available Today to Choose From?

B2B pricing software is no longer a nice-to-have. It’s now a core layer in how SaaS teams run revenue.

📈 According to Verified Market Research, the global pricing optimization software market is expected to grow from $3.76 billion in 2024 to $11.22 billion by 2032, at a CAGR of 16.16%. That growth is being driven by companies looking to modernize pricing.

But as demand rises, so does the number of tools.

Many platforms now promise automation, AI, and smarter quotes. But not all are built the same.

Here are five platforms that come up most often in SaaS evaluations and pricing conversations:

• Pricefx
• Zilliant
• Vendavo
• PROS
• Salesforce Revenue Cloud 

Each one has its strengths, sweet spots, and tradeoffs.

👇 Let’s explore them one by one.

(Disclaimer - All product information, user ratings, features, and performance details mentioned in this list are sourced from publicly available content on official company websites and third-party review platforms, primarily G2.)

1. Pricefx

Pricefx is a cloud‑native B2B pricing and CPQ platform designed to manage, optimize, and execute pricing across complex sales environments. It combines price management, AI‑driven optimization, analytics, and CPQ into a single modular system. The platform is built to replace spreadsheet‑driven pricing with centralized rules, governance, and data-backed decisions. Pricefx positions itself as a full pricing platform rather than a point solution.

⭐ User Rating 

~4.4 / 5 on G2

Users frequently highlight flexibility, pricing depth, and cloud architecture, while noting a learning curve for advanced use cases.

‍📊 Key Features 

• 🧮 Price Management: Centralizes pricing rules, customer-specific agreements, rebates, and promotions. Enables teams to manage complex pricing logic without relying on spreadsheets.
• 📈 Pricing Analytics & Insights: Provides dashboards and performance views to analyze pricing outcomes, identify margin leakage, and surface opportunities across segments.
• 🤖 PricingAI by Pricefx: Uses AI to support price optimization, negotiation guidance, and recommendations based on historical data and deal patterns.
• 🧾 Configure, Price, Quote (CPQ): Allows sales teams to generate quotes using optimized prices while maintaining visibility into margins and sales compensation impact.
• 🧩 Platform Manager & Integrations: Enables system configuration, third‑party integrations, and deployment of accelerators through a centralized platform interface.

🌟 Best For

• Mid‑market to enterprise B2B companies
• SaaS or subscription businesses with complex pricing rules, multiple segments, or frequent custom deals
• Teams looking to move from spreadsheet-based pricing to a governed, analytics-driven system

✅ Pros

✔ Highly configurable pricing rules and models

✔ Strong analytics and optimization capabilities

✔ Fully cloud‑native architecture with no legacy constraints

✔ Modular design allows teams to adopt features incrementally

❌ Cons

✖ Can feel complex for teams with simple pricing needs

✖ Requires pricing maturity and operational readiness to unlock full value

✖ Implementation and change management effort is non‑trivial for smaller teams

🔍Our Verdict

Think of Pricefx as a pricing control tower. It gives you structure, rules, analytics, and optimization across pricing decisions. But it assumes your biggest challenge is how prices are set and governed, not necessarily how buyers behave or how deals convert once pricing is set.

2. Zilliant

Zilliant is a cloud‑native pricing optimization and price management platform. Built to help B2B companies eliminate manual pricing chaos and protect margin with data‑driven pricing strategies. It centralizes pricing logic, provides AI‑assisted optimization, and helps pricing and sales teams collaborate with confidence while reducing manual work. 

⭐ User Rating (G2)

~4.5 / 5 stars based on ~90 verified reviews on G2 for Zilliant’s pricing platform overall. 

📊 Key Features 

• 🧠 AI‑Driven Price Optimization: Machine learning‑backed models help generate pricing that maximizes revenue while protecting margin, replacing gut‑based decisions with data‑supported strategies. 
• 📈 Price Management: Consolidates pricing data and logic into a governed system, reducing reliance on spreadsheets and enabling consistent, repeatable pricing workflows. 
• 🤝 Configure, Price, Quote (CPQ): Supports complex quoting and sales configurations, helping teams generate accurate, optimized proposals quickly. 
• 📊 Pricing Analytics & Insights: Helps teams analyze current pricing performance and surface opportunities for margin improvements. 
• 🔍 Sales Insights & Actions: Delivers actionable recommendations that help reps and pricing teams identify revenue opportunities and adjust pricing strategies in real time. 

🌟 Best For

• B2B and subscription‑based SaaS companies with complex pricing scenarios and margin pressure
  
  
• Teams looking to replace manual processes with governance and AI‑assisted decisioning
  
  
• Pricing organizations that need explainable, data‑backed pricing recommendations that sales teams will adopt

(While Zilliant serves a range of industries, its pricing intelligence capabilities are directly relevant for SaaS teams facing negotiation complexity, multi‑tier pricing challenges, and inconsistent deal execution.)

✅ Pros

✔ High overall satisfaction and strong user reviews for core pricing and optimization features. 

✔ AI‑driven pricing insights help uncover margin opportunities and guide pricing decisions. 

✔ Governance and automation reduce manual pricing effort and improve consistency. 

✔ Scalable platform that can support teams from initial pricing maturity to enterprise‑scale pricing operations.

❌ Cons

✖ Initial setup and integration can be time‑intensive, especially for organizations without a pricing data foundation.
✖ Teams unfamiliar with data‑driven pricing may find some analytics capabilities deeper than expected.
✖ Because Zilliant serves many B2B contexts (not SaaS‑specific), some features may feel broader than necessary for pure SaaS pricing workflows.

🔍 Our Verdict

Zilliant is especially strong for organizations that want AI‑assisted pricing guidance and centralized control over their pricing logic. However, teams should be prepared for investment in initial setup and data maturity before realizing full value.

3. Vendavo

Vendavo is a comprehensive commercial pricing platform designed to help B2B enterprises manage, optimize, and execute sophisticated pricing strategies at scale. Its platform unifies pricing, quoting (CPQ), incentives (rebates/promotions), and AI‑powered insights to protect margins and improve profitability.

⭐ User Rating (G2)

4.3 / 5 stars on G2 based on 68+ verified user reviews, reflecting strong overall satisfaction with pricing optimization and commercial workflow capabilities. 

📊 Key Features 

• 📈 AI‑Driven Price Optimization: Embedded AI analyzes trends and pricing data to recommend actions that grow profitability in real time. 
• 📊 Pricing Management & Strategy: Centralizes pricing logic, global price governance, and dynamic pricing frameworks. 
• 💼 Configure, Price, Quote (CPQ): Intelligent CPQ automates complex quotes, integrates pricing strategies, and accelerates deal cycles. 
• 🎯 Incentives & Rebate Management: Designs, manages, and measures rebates and promotions to drive profitable customer behaviors. 
• 📊 Dynamic Pricing & Forecasting: Supports dynamic pricing that adjusts based on market conditions and business objectives. 

🌟 Best For

• Large B2B and enterprise SaaS teams managing complex segment‑based pricing or multi‑market pricing rules.
• Organizations that need end‑to‑end pricing governance, from analytics to quoting to incentives.
• Teams that want AI‑assisted pricing insights embedded in both pricing and quoting workflows.

✅ Pros

✔ Comprehensive pricing ecosystem that is pricing, CPQ, and incentives in one platform. 

✔ Strong margin and profit focus where AI insights surface pricing risks and opportunities. 

✔ Flexible global pricing management that supports multi‑region pricing governance at scale. 

✔ Positive user feedback on deal management and price visibility.

❌ Cons

✖ Implementation can require deeper planning and technical alignment. (Common observation in enterprise pricing tools.) 

✖ While powerful, some modules are more tailored to manufacturing/distribution pricing use cases than pure SaaS pricing flows. 

✖ Learning curve for advanced features.

🔍 Our Verdict

Vendavo combines pricing science with quoting and incentives, but the platform’s breadth means SaaS teams should be ready for deeper implementation and alignment. Especially if pricing needs are mid‑level rather than enterprise‑grade.

4. PROS

PROS is an AI‑driven pricing and CPQ platform that helps businesses optimize pricing strategies, automate selling workflows, and support smarter revenue decisions. Its focus spans real‑time analytics, predictive models, and automated pricing execution. It enables teams to adjust prices dynamically based on market conditions, demand patterns, and customer behavior. 

⭐ User Rating (G2)

~4.0 / 5 stars on G2 for PROS pricing and price management capabilities.

‍📊 Key Features 

• 🧠 AI‑Driven Price Optimization & Management: Centralizes pricing data and uses predictive AI to recommend optimal prices that balance revenue and margin. 
• 📈 Real‑Time Analytics & Insights: Provides insights into market behavior, pricing performance, and revenue impact to inform smarter decisions.
• ⚙️ Dynamic Pricing Support: Adapts prices in real time based on market conditions, demand shifts, and product performance. 
• 🧾 Configure, Price, Quote (CPQ): Combines pricing intelligence with quote automation to produce accurate, optimized proposals quickly, reducing manual errors and cycle time. 
• 🤖 Automation & Workflow Enhancements: Streamlines routine pricing and quoting tasks to reduce manual work and improve consistency.

🌟 Best For

• Large B2B and enterprise teams with sophisticated pricing challenges.
• Organizations seeking AI‑assisted insights that go beyond simple rule‑based pricing.
• SaaS businesses with complex pricing models that need dynamic, real‑time pricing adjustments.

✅ Pros

✔ Uses robust predictive models to support dynamic pricing decisions.

✔ Recognized by market analysts for advanced pricing logic and capabilities. 

✔ Delivers pricing updates rapidly across channels, helping teams respond to market changes. 

✔ Combines pricing insights with quote generation and automation. 

❌ Cons

✖ Users note that mastering PROS’s depth requires training or more technical knowledge. 

✖ Best suited for medium to large enterprises; smaller SaaS teams with simple pricing may find it more than needed. 

✖ Setting up the full platform and integrating with existing systems can take effort and coordination.

🔍 Our Verdict

PROS stands with its predictive pricing and real‑time insights help teams stay competitive, protect margins, and scale pricing operations. However, teams should be prepared for a slightly steeper learning curve and implementation effort. Especially if they are early in pricing maturity.

‍

5. Salesforce Revenue Cloud 

Salesforce Revenue Cloud is part of Salesforce’s broader Agentforce suite. It unifies quoting, billing, contract lifecycle management, and revenue analytics on the CRM. It’s designed to help SaaS and recurring revenue businesses create, manage, and optimize revenue streams across the entire sales cycle. Its strength lies in unifying sales and finance workflows through automation, AI, and deep CRM integration.

⭐ User Rating (G2)

~4.2 / 5 stars on G2, with reviewers highlighting streamlined quote‑to‑cash workflows, centralized pricing and billing, and integration benefits.

📊 Key Features 

• 📐 Configure, Price, Quote (CPQ): Automates complex quoting, guided selling, product configuration, price rules, and discounting to generate accurate proposals quickly. 
• 📊 Unified Revenue Workflow: Connects quotes, contracts, orders, billing, and revenue recognition in one platform for improved collaboration and visibility. 
• 💳 Billing & Subscription Management: Supports subscription plans, usage‑based billing, renewals, and recurring revenue models. 
• 📈 Real‑Time Pricing & Revenue Analytics: Dashboards and reports provide visibility into pricing performance, revenue trends, and billing health.
• 🔧 CRM Integration & Automation: Leverages Salesforce CRM data to automate workflows and reduce manual tasks across sales and finance.

🌟 Best For

• SaaS and subscription businesses already invested in Salesforce CRM.
• Organizations with complex quote‑to‑cash requirements and recurring revenue models.
• Teams needing strong cross‑functional alignment between sales, pricing, finance, and operations.

✅ Pros

✔ Revenue Cloud brings quotes, billing, subscriptions, and revenue recognition under one platform, reducing friction and manual handoffs. 

✔ Deep integration with Salesforce increases data consistency and workflows across teams. 

✔ Users report smoother sales cycles and reduced manual workload. 

✔ Highly customizable to fit complex business models. 

❌ Cons

✖ Multiple reviewers note setup and customization can be resource‑intensive, especially for teams without dedicated admin support. 

✖ Some users find the UI less intuitive and harder to navigate for casual users. 

✖ Full deployment often requires careful planning, integration with ERP, and specialized configuration expertise. 

✖ For teams that only need pricing intelligence without full CPQ/billing workflows, Revenue Cloud may be too comprehensive.

🔍 Our Verdict

Salesforce Revenue Cloud is a best‑in‑class quote‑to‑cash solution. It excels when you need end‑to‑end revenue orchestration from complex pricing and quoting through billing, renewals, and analytics.

However, its strength lies more in orchestration than deep pricing science; teams focused primarily on advanced pricing strategy or buyer behavior signals may find the need to augment this platform with specialized pricing intelligence tools. 

You’ve read so far about some of the best tools you can choose from, but are they really enough? Let’s look at what’s still missing.

🚧 What’s Still Missing in Today’s B2B Pricing Software Stack?

Despite heavy investments in CPQ systems, pricing engines, and billing platforms, most b2b pricing software stacks are still incomplete. This gap becomes especially clear when it comes to efficiently converting revenue for SaaS and recurring-revenue models.

Let us tell you how:

👉No Flexibility for How Buyers Want to Pay

Today’s tools assume payment happens upfront. But many buyers expect monthly terms, deferred starts, or milestone billing — especially in tight budget cycles.

Pricing stacks aren’t built to offer payment flexibility at the point of sale.

👉No Real-Time Risk Assessment in the Quote Flow

Pricing engines run on static rules, tiers, or pre-set discount bands. They don't adjust based on real-time risk signals, creditworthiness, or buyer-specific deal data.

As a result, quotes often miss the optimal balance of risk and reward.

👉No Capital Infrastructure to Support Flexible Terms

Even if reps want to offer monthly terms, most stacks don’t include the capital infrastructure to front the cash.

Finance teams are left managing working capital exposure manually — or saying “no” to deals.

👉No Modern Checkout Experience for Buyers

Quotes today are still PDFs or clunky approval flows. There’s no B2C-style, interactive experience that lets buyers configure payment terms, review pricing, and close the deal in one motion.

This slows down conversion and increases buyer drop-off.

👉No Unified Visibility Across Sales and Finance

Pricing tools often sit within sales ops. Finance, meanwhile, operates from spreadsheets or separate risk systems.

This misalignment creates deal friction, delays, and lost revenue.

👉Limited Support for Post-Sale Lifecycle Pricing

Renewals, upsells, and expansions often require manual repricing or ad hoc processes.

The pricing stack rarely supports full lifecycle monetization with intelligence and automation.

So when you look at all these gaps from rigid payment structures to missing capital infrastructure, and from clunky buyer experiences to siloed systems. You have to ask one important question:

🤔Do you really need to invest in yet another pricing tool to patch these holes? Or is there a better alternative altogether?

What if, instead of adding another tool to the stack, you could replace it with a single platform? One that delivers the core capabilities of pricing software while also filling the gaps those tools consistently leave behind.

That’s the promise of Ratio Boost. 

It’s a modern pricing and revenue execution platform built for today’s SaaS sales.

Let’s get into the details to understand better.

🏆 Why Ratio Boost is the Smarter Alternative to Traditional B2B Pricing Software?

Ratio Boost is built to solve what actually moves revenue forward: flexible pricing execution, instant approvals, and cash upfront — all without bloating your tech stack.

It embeds everything needed to price, fund, and finalize deals in one motion:

• Flexible payment options built into the quote
• Real-time risk assessment for term structuring
• Upfront payout on signed contracts
• Automated billing and collections
• A checkout-ready experience for buyers

🔍 Why This Replaces Pricing Software Not Just Complements It

Pricing tools assume:

• Buyers pay upfront
• Flexibility means discounting
• Risk and collections are Finance’s problem

Ratio Boost breaks that model.

It lets you:

• Offer net-new payment structures without losing margin
• Get paid in full even if the buyer pays over time
• Offload credit risk and automate receivables
• Let reps send quotes with embedded, finance-aligned pricing options

Instead of investing in another pricing tool that ends at the quote, Boost powers the full revenue moment — from quote to cash.

🔧 Here’s How to Implement Ratio Boost — In 10 Simple Steps

It takes minutes, not months, to roll out Ratio Boost. Here's what onboarding looks like:

• Step 1: Login and access Ratio Boost directly from your CRM
  Sales reps launch Ratio from Salesforce, HubSpot, or a standalone dashboard. Views are role-based — reps see their own pipeline, while finance sees exposure and cash flow.
• Step 2: Create a new offer or select an existing buyer
  Click “Create Offer” and enter buyer details (or select from previous deals). Ratio auto-fetches company info like EIN and credit profile.
• Step 3: Set payment terms and financing fee structure
  Choose monthly, quarterly, or deferred options. Decide who pays the financing fee — seller, buyer, or a shared split. Live preview shows exactly how the offer will appear to the buyer.

• Step 4: Submit for real-time underwritingRatio’s AI engine instantly assesses creditworthiness using internal models, third-party data, and optional bank verification (via Plaid). Most approvals come in under 30 seconds.
• Step 5: Send the buyer their personalized offer link
  The buyer receives a secure, mobile-friendly page where they can toggle terms, compare payment plans, and reach out with questions — all without needing to email back and forth.
• Step 6: Buyer signs and enters ACH details
  Once the plan is selected, the buyer e-signs the agreement and sets up ACH — securely and self-serve.
• Step 7: You get paid upfront
  Ratio funds up to 96% of the contract value from its $411M financing pool, typically within 1–3 business days. No waiting. No chasing.

• Step 8: Ratio automates invoicing and collectionsEvery payment, invoice, reminder, and follow-up is handled by Ratio. No additional AR burden for your team.
• Step 9: Monitor repayment and account health in real time
  Your RevOps, Sales, and Finance teams can track repayment schedules, renewal timing, and account performance from a shared dashboard.
• Step 10: Repeat faster for renewals and expansions
  Buyer data is saved, pre-approved, and ready for instant reuse. This helps reps issue new offers in under 2 minutes.

Let’s take DearDoc, a fast-growing SaaS company, as an example.

Here’s what their sales process looked like — before and after adopting Ratio Boost:

❌ Before Ratio Boost:

• Separate tools for quoting, billing, and collections
• Manual back-and-forth with finance to approve terms
• Buyers slowed down by lack of flexible payment options
• Internal AR team spent hours chasing late invoices
• Sales reps discounted heavily just to close

✅ After Ratio Boost:

• One smart link: quote + terms + e-sign + checkout — all in one
• Buyer chooses monthly or deferred payments during checkout
• Ratio paid full contract value upfront to DearDoc
• Ratio handles credit checks, invoices, and collections

Result:

• +25% increase in close rate
• +37% faster time-to-cash
• −60% drop in billing support tickets

🎥 Hear it from the Founder for your self:

Or, to understand this better, you can simply book a 15-minute strategy call with us.

We’ll show you how to launch Ratio Boost and structure better deals. You’ll also see how to unlock the full contract value upfront to fund your business growth.

FAQs

1. Do I Need Pricing Software If I Already Use CPQ Or Billing Tools?

Not necessarily. CPQ and billing tools handle quoting and invoicing, but they don’t solve for pricing flexibility, buyer risk, or deal timing. If your deals still stall or require manual workarounds, a full pricing platform might feel like overkill. Many SaaS teams now prefer lighter, deal-focused solutions like Ratio Boost that adapt faster without replacing core systems.

2. How Much Does B2B Pricing Software Typically Cost?

Most pricing software starts around $50K–$100K annually, with additional costs for setup, integration, and users. Enterprise features like price optimization or usage modeling drive costs higher. That’s why many SaaS teams now seek leaner, cost-effective alternatives that deliver pricing flexibility without the heavy software investment.

3. How Long Does It Take To Implement Pricing Software?

Implementation typically takes 3–6 months. That includes integration with CRM and billing, rule configuration, and sales team training. For teams that need faster results, modular tools like Ratio Boost can launch in days without disrupting your current workflow.