Pricing Solutions ROI Calculator

Quantify the value of pricing management for your company by answering a few simple questions. We’ll calculate results based on 20+ years of helping companies like yours improve top-line and bottom-line performance with Vendavo pricing solutions.

  • Please enter a number greater than or equal to 1.
    The top line revenue on a yearly basis for your company or the part of the business that would be using pricing solutions.
  • Return on Sales is Net Income divided by Sales Revenue for the same time period. This is also referred to as bottom line profit margin.

Addressable Revenue:

The top line revenue on a yearly basis for your company or the part of the business that would be using pricing solutions.

Your Rating (Out of 100):

The top line revenue on a yearly basis for your company or the part of the business that would be using pricing solutions.
  • Analytics:

    Analytics for Pricing is usually applicable to the total (100%) of Sales Revenue of the organization that is applying the Pricing solution.
      Analytics capabilities at the low end of the scale (around 10)
    • • No consolidated analysis tool
    • • Little visibility into all on- and off-invoice discounts
    • • Time consuming collection of data
      Analytics capabilities at the middle of the scale (around 50)
    • • Limited info on all Cost-to-Serve elements
    • • Limited ability to understand price variation across business dimensions
      Analytics capabilities at the high end of the scale (around 90)
    • • Ability to perform guided and ad-hoc analysis on the fly
    • • Full visibility into price waterfall at transaction level
    • • Full understanding of cost to serve
  • Please enter a number from 1 to 100.
  • Please enter a number from 1 to 100.
  • Price Management:

    Price Management is usually applicable to the total (100%) of Sales Revenue of the organization that is applying the pricing solution.
      Price Management capabilities at the low end of the scale (around 10)
    • • Infrequent price changes
    • • Manual administration of price changes
    • • No ability to mass update price lists or contract prices
      Price Management capabilities at the middle of the scale (around 50)
    • • Semi-automated price adjustments, alerts to cost changes
    • • Consistent but time-consuming processes for updating prices
      Price Management capabilities at the high end of the scale (around 90)
    • • Centralized process for setting price targets and guidance
    • • Ability to frequently change price targets and guidance
    • • Automated list price setting process
    • • Ability to quickly set prices on new parts
  • Please enter a number from 1 to 100.
  • Please enter a number from 1 to 100.
  • Price Optimization:

    Price Optimization is usually applicable to the total (100%) of Sales Revenue of the organization that is applying the pricing solution.
      Price Optimization capabilities at the low end of the scale (around 10)
    • • Basic customer/product segments
    • • Competitive data not used in segmentation or price setting
    • • Most products are set using cost plus methods
      Price Optimization capabilities at the middle of the scale (around 50)
    • • Static, simplistic, firmographic customer/product segments
    • • Some market/value based pricing
      Price Optimization capabilities at the high end of the scale (around 90)
    • • Optimized prices based on dynamic factors aligned with commercial strategy
    • • Use of competitive behavior when optimizing prices
  • Please enter a number from 1 to 100.
  • Please enter a number from 1 to 100.
  • Deal Management:

    Deal Management is usually applicable to the portion of Sales Revenue that is negotiated for the organization that is applying the pricing solution.
      Deal Management capabilities at the low end of the scale (around 10)
    • • Manual adjustment of contracts
    • • Manual management of contract terms
    • • Quote cycle time of >36 hours
    • • Limited ability to analyze good and bad prices
      Deal Management capabilities at the middle of the scale (around 50)
    • • Centralized repository for contracts, but still requiring manual maintenance
    • • Quote cycle time between 12-36 hours
    • • Anecdotal use of competitive data
    • • Clear Delegation of Authority and approval processes, with manual enforcement
      Deal Management capabilities at the high end of the scale (around 90)
    • • Automated adjustments to contracts, in line with specifically agreed terms
    • • Contextual analytics
    • • Quote cycle time < 12 hours
    • • Automated Delegation of Authority and approval processes
    • • Guidance embedded in CRM
  • Please enter a number from 1 to 100.
  • Please enter a number from 1 to 100.
    • Get Your Complete ROI Assessment

  • Total Expected Value of Vendavo Pricing Solutions

    How to Use the Pricing Solutions ROI Calculator  

    Discover how smarter pricing strategies could impact your bottom line in three simple steps. Our calculator uses 20+ years of B2B pricing expertise to estimate potential savings and profit gains specific to your operations.  

    Step 1: Set Your Financial Baseline

    Provide your annual sales revenue and return on sales (%) to establish your starting point. These figures help us contextualize the potential value of pricing improvements.

    Variables ROI Calculator

    Step 2: Customize Variables to Fine-tune ROI

    Adjust two key variables for each of the four pricing variables: Analytics, Price Management, Price Optimization, and Deal Management


    Addressable Revenue (typically 100% for most functions)
    Your Rating (0-100 scale reflecting current process maturity)  

    Guidance on Your Ratings

    When setting your rating for each of the four vairables, consider the following benchmarks for reference. Click the tabs below to learn more about each variable and what a rating of 10, 50, or 90 might mean for you.

    Guidance for setting your analytics rating

    • Low (10): Manual data collection, limited discount visibility, no unified analysis tools.
    • Mid (50): Basic cost-to-serve insights, partial understanding of price variances.
    • High (90): Real-time transaction-level analytics with guided ad-hoc analysis capabilities.

    Guidance for setting your price management rating

    • Low (10): Manual price updates, no mass adjustments, infrequent changes.  
    • Mid (50): Semi-automated alerts for cost changes, slow but consistent processes.  
    • High (90): Centralized guidance, automated list pricing, and rapid updates for new products.  

    Guidance for setting your price optimization rating

    • Low (10): Cost-plus pricing only, minimal segmentation, no competitive data use.  
    • Mid (50): Static customer/product segments, some value-based pricing.  
    • High (90): Dynamic AI-driven pricing aligned with market behavior and strategy.  

    Guidance for setting your deal management rating

    • Low (10): Manual contract adjustments, >36-hour quote cycles, limited price analysis.  
    • Mid (50): Centralized contract repository, 12-36 hour quotes, manual approvals.  
    • High (90): Automated terms enforcement, <12-hour quotes, CRM-integrated guidance.  

      Note that for deal management, “addressable revenue” refers specifically to negotiated revenue.

    Step 3: Interpret Your Results

    Your Total Expected Value combines potential savings from process efficiencies and profit gains from improved pricing accuracy. Use the calculator to:

    • Compare current vs. optimized ratings to identify high-impact opportunities  
    • Test scenarios like boosting analytics capabilities from 30 to 80  
    • Validate ROI assumptions and facilitate c

    A $250M Manufacturer Might Uncover:

    4.2M

    per year in recoverable leakage through better discount visibility

    14%

    faster quote approvals via automated deal management workflows

    1.9%

    margin lift from dynamic price optimization

    Why Pricing ROI Matters

    Pricing is the most powerful lever for protecting profitability. A 1% improvement in price optimization can deliver up to 11% higher profits, making this practice the most underleveraged growth driver in B2B industries. For context, that’s like adding a new product line without the R&D costs. Today’s businesses face an uphill battle with rising input costs, volatile buyer expectations, and competitors armed with AI tools that rewrite pricing playbooks daily. In turn, static pricing models struggle to keep pace, leaving profit trapped in outdated workflows or lost to reactive discounting.

    AI-driven pricing

    Forward-thinking teams use AI pricing software to turn market chaos into opportunity. Imagine adjusting prices in real-time as raw material costs shift or regional demand spikes – while competitors still rely on last month’s spreadsheets.

    Dynamic margin health monitoring

    With supply chains in constant flux, proactive margin management separates resilient businesses from those leaking profit. Automating rebate and discount workflows, for example, helps teams spot revenue leakage before it erodes bottom lines.

    Commercial ecosystem integration

    Leading platforms now embed pricing intelligence directly into CRM and CPQ solutions, ensuring every customer interaction reflects real-time margins and strategic goals. This turns pricing from a back-office task into a growth accelerator.

    Trends Defining Modern Pricing Success

    Today’s winning organizations treat pricing as a dynamic capability, not a fixed policy. Three interconnected shifts are redefining best practices: AI-driven pricing, dynamic margin health monitoring, and commercial ecosystem integration.

    The 2025 Pricing for Profitable Growth Report

    The Hidden Cost of Inaction

    Businesses clinging to manual processes risk more than inefficiency—they lose credibility. Slow, inconsistent quotes frustrate buyers, while opaque discounting erodes trust. Worse, they leave teams firefighting instead of strategizing.

    As explored in our guide to pricing strategies in B2B, modern tools transform pricing from a guessing game into a profit engine. Companies that embrace continuous optimization don’t just survive market shifts—they thrive by turning uncertainty into an advantage.

    In 2025, pricing isn’t about setting numbers but building resilience. Whether navigating tariff changes or competitive pressures, businesses with agile pricing frameworks:

    • Respond to risks before they become crises
    • Unlock hidden value in existing customer relationships
    • Empower teams to focus on strategy, not data entry

    The question isn’t whether you can afford to prioritize pricing ROI—it’s whether you can afford not to.

    Key Factors That Influence Pricing ROI

    A combination of internal cost structures, external market dynamics, and customer behavior shapes pricing ROI. Understanding these factors allows businesses to craft strategies that maximize profitability while remaining competitive.

    1. Cost Structure: Balancing Costs and Value

    A company’s cost structure serves as the foundation for pricing decisions. Cost-based pricing covers production costs with a markup, ensuring predictable margins. This approach works well in industries with little product differentiation or high price sensitivity, such as manufacturing or essential services.


    However, value-based pricing aligns prices with the perceived benefits to customers, often resulting in higher profit margins. For example, a B2B software solution that saves clients significant time or money can command premium pricing by quantifying its value. While cost-based pricing provides stability, value-based pricing offers flexibility and greater potential for profit when customers are willing to pay more for unique benefits.


    2. Competitive Positioning: Navigating Market Dynamics

    Pricing ROI is heavily influenced by a business’s positioning within the competitive landscape. Companies must decide whether to compete on price or differentiate based on value.

    • Competitive pricing ensures alignment with market rates, helping businesses attract price-sensitive customers while maintaining market share. However, this strategy can compress margins if not paired with operational efficiency.
    • Differentiated pricing, by contrast, emphasizes unique features or superior quality to justify higher prices. For instance, businesses offering AI-powered solutions or advanced analytics can position themselves as premium providers, capturing greater value even in competitive markets.

    Dynamic monitoring of competitors’ pricing strategies is essential to stay agile and avoid losing ground to rivals who adjust faster to market shifts.


    3. Customer Demand: The Role of Elasticity

    Understanding price elasticity—the sensitivity of demand to price changes—is critical for optimizing pricing ROI.

    • Elastic demand: Products with many substitutes (e.g., consumer goods) experience significant shifts in demand when prices change. Businesses in these markets often rely on promotions or volume-driven strategies to maintain profitability.
    • Inelastic demand: Essential goods or highly differentiated products see stable demand despite price fluctuations. Companies in these markets can focus on margin protection through strategic price increases.


    By analyzing customer behavior and historical sales data, businesses can tailor their pricing strategies to maximize revenue without alienating customers

    Maximizing pricing ROI requires a careful balance of internal cost management, competitive awareness, and responsiveness to customer demand. Businesses that align their strategies with these factors can unlock the hidden profit potential while building stronger market positions.


    Advanced Pricing Optimization Strategies

    As businesses navigate increasingly dynamic markets, advanced pricing strategies are essential for maximizing profitability and staying competitive. By leveraging technology and data, companies can refine their pricing models to respond to market shifts, customer behavior, and operational goals. Below are some of the most effective strategies for optimizing pricing.

    AI hub Sailing

    Dynamic Pricing and AI-Driven Models

    Dynamic pricing adjusts prices in real-time based on factors like demand, competitor pricing, and inventory levels. Powered by AI, these models analyze vast datasets to identify optimal price points, enabling businesses to remain agile and competitive. For example, AI can predict demand trends or adjust prices instantly to reflect changes in competitor strategies or market conditions. This approach not only maximizes revenue but also enhances customer satisfaction by offering timely and relevant pricing.

    However, successful implementation requires careful planning. Companies must ensure data readiness and system integration to avoid errors or inefficiencies. Additionally, transparent communication about pricing changes helps maintain customer trust in industries where frequent adjustments could raise concerns.


    Data-Driven Decision-Making

    Effective pricing optimization relies on robust data analysis. By centralizing data from sales trends, competitor movements, and market conditions, businesses can make informed decisions rather than relying on intuition or outdated methods. Tools like pricing analytics software help identify patterns such as price elasticity, margin leakage, or underperforming segments.

    For instance, predictive analytics can highlight opportunities for price increases in inelastic markets or suggest targeted discounts for price-sensitive customers. The key is to continuously monitor and refine pricing strategies using real-time insights to stay ahead of competitors and adapt to evolving customer needs.


    Avoiding Common Pitfalls


    The Path Forward

    Advanced pricing strategies like dynamic pricing and data-driven decision-making empower businesses to optimize revenue while remaining competitive in fast-changing markets. By avoiding common pitfalls and leveraging technology effectively, organizations can transform pricing into a strategic advantage that drives sustainable growth.

    This version balances practical insights with actionable advice while keeping the content concise and easy to follow. It highlights the benefits of advanced strategies while addressing potential challenges businesses face.


    Guide Pointing

    Take the Next Step in Strategic Pricing ROI

    Unlock the full potential of your pricing strategy with Vendavo’s advanced pricing software solutions. Whether you’re looking to implement AI-driven dynamic pricing, streamline deal management, or gain deeper insights with analytics, Vendavo has the tools to help you achieve measurable ROI.

    Explore how leading businesses have transformed their profitability with our solutions by visiting our case studies. Ready to see the impact for yourself? Try our Pricing ROI Calculator or Request a Demo to test drive our software solutions.


    Get in Touch

    Can’t find what you’re looking for – get in touch! We’re here to help you map your path to profitability.