
Frameworks, core principles and top case studies for SaaS pricing, learnt and refined over 28+ years of SaaS-monetization experience.
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Join companies like Zoom, DocuSign, and Twilio using our systematic pricing approach to increase revenue by 12-40% year-over-year.
Strategic pricing is the critical difference between market leadership and obsolescence in the quote management software industry. Your pricing strategy directly impacts both adoption rates and profitability while reflecting your understanding of customer value perception.
Quote management software faces unique pricing challenges that stem from its position at the intersection of sales enablement, CRM, and financial systems. The complexity of delivering value across these domains requires sophisticated pricing approaches.
Quote management software derives significant value from its integration capabilities with existing CRM and ERP systems. This creates pricing challenges when quantifying the value of seamless data flow and automation between systems. While users experience substantial time savings and error reduction, these benefits are often difficult to measure in traditional ROI models.
As noted by PandaDoc research, "The most valued quote management tools offer deep integrations with existing tech stacks, creating pricing challenges when companies need to communicate this ecosystem value"[4]. Successful pricing models must account for both standalone functionality and integration-driven benefits.
Quote management platforms typically include a range of capabilities spanning basic quote creation, advanced pricing rules, approval workflows, analytics, and AI-powered optimizations. This creates significant complexity in determining which features should be bundled in core packages versus premium tiers.
According to BetterCommerce analysis, "B2B pricing strategies for quote management must balance accessibility of core quoting functions with premium pricing for advanced configuration and optimization features"[2]. Companies struggle to create tier boundaries that align with customer segments while preventing feature overload.
The quote management industry continues to wrestle with finding the optimal pricing metric. Traditional per-user pricing models create adoption barriers when companies want to extend quoting capabilities across their organization. Meanwhile, usage-based models tied to quote volume or deal size can create unpredictable costs for customers.
Research from The CRO Club indicates, "Quote management software providers increasingly employ hybrid models combining a base platform fee with usage components to balance predictability with alignment to customer value creation"[1]. This hybrid approach is gaining traction but requires sophisticated metering and billing capabilities.
With the rise of AI-powered price optimization in quote management, determining how to price these advanced capabilities presents significant challenges. AI features that dynamically adjust pricing based on competitive intelligence, customer history, and market conditions deliver substantial value but at higher development and operational costs.
"AI-powered pricing modules within quote management platforms typically command a 30-50% premium over basic quoting capabilities," notes Zumvu research[3]. However, communicating this value proposition effectively requires sales teams to quantify potential ROI—a challenge when the benefits manifest through both revenue increases and operational efficiency.
The predominant SaaS subscription model must accommodate enterprise customers' demand for custom pricing, professional services, and dedicated support. Creating transparent pricing tiers while maintaining flexibility for high-value enterprise deals creates tension in go-to-market strategies.
As the quote management software market matures, finding this balance becomes increasingly important. Research indicates successful vendors maintain published pricing for SMB and mid-market segments while establishing clear enterprise engagement models with value-based pricing approaches for large deployments[4].
Monetizely brings unparalleled expertise to quote management software companies seeking to optimize their pricing strategies. Our team consists of product managers and marketers with over 28 years of operational experience, providing a unique perspective that combines pricing expertise with deep understanding of SaaS product cycles.
Our work with B2B software companies has demonstrated consistent results. In one case study, we helped a $10 million ARR IT infrastructure management software company transform their pricing approach:
"Monetizely guided the company from an ad-hoc pricing model to a consistent structure that aligned pricing strategy with GTM strategy, rationalized four packages to two with remapped feature-sets, and created a combination pricing metric of users and company revenue."
This transformation eliminated inconsistent sales and customer objections in the sales process while creating monetization pathways for new strategic features.
Our approach to quote management software pricing integrates three essential dimensions:
Statistical/Quantitative Research:
Empirical Analysis:
In-Person Qualitative Studies:
We offer two primary engagement models designed to meet the specific needs of quote management software providers:
Our comprehensive pricing diagnostic identifies opportunities for pricing model improvement through:
For quote management software companies seeking ongoing optimization, we provide:
Unlike traditional pricing consultants, Monetizely brings a unique approach that resonates with quote management software providers:
Product-First Perspective: Our team of product managers and marketers brings deep understanding of agile product launches and market needs, with 16+ years of PMM experience.
Agile, In-Person Research: We employ tailored, ongoing research aligned with agile product development rather than traditional waterfall methods.
Capital Efficiency: Our customized, impactful in-person research approach delivers results at significantly lower costs compared to other consultants who rely on expensive standard methods.
By partnering with Monetizely, quote management software companies gain a strategic ally in developing pricing models that accelerate growth, optimize revenue, and strengthen competitive positioning in this rapidly evolving market.
Sources:
[1] The CRO Club. (2025). 21 Best Quote Management Software In 2025.
[2] BetterCommerce. (2024). B2B pricing & quote generation strategies.
[3] Zumvu Blog. (2025). 12 Best Pricing Software and Tools to Consider in 2025.
[4] PandaDoc. (2025). 10 Best Quoting Software Tools and Solutions in 2025.
[5] Data Insights Market. (2025). Pricing and Quote Management Software.
Join companies like Zoom, DocuSign, and Twilio using our systematic pricing approach to increase revenue by 12-40% year-over-year.
1
None of the other premier consultants have actually implemented complex pricing within companies like Twilio and Zoom. This requires operational systems understanding, not just strategy.
In addition, other consultants often "over egg the pudding", they know customers will buy approaches as long as they look/feel scientific, yet we have multiple customers who have spent more >$100k each on conjoint analysis which did not help them at all. We are careful with where we ask you to spend your money.
2
Willingness to pay is context-dependent and works best when analyzed alongside packaging and pricing metrics. We use structured surveys like Van Westendorp, Max Diff, Conjoint Analysis as well as in-person research interviews to gather actionable data.
3
The cost of milk or a McDonald's burger inflates. However, SaaS prices almost always deflate and requires both adjustment of product packages as well as innovation to remain relevant.
Additionally, AI adoption will drive a shift from user-based pricing to more usage/consumption based models to accommodate the very high costs of serving these products. Expect to see deflation over time here as well as the the cost of serving AI products drops by multiples every month.
4
We want to monitor discounting % per package, usage of features within the packages, upsell rate of features to see whether we have a good pricing motion or whether it needs adjusting.
5
The Monetizely team has over 28 years of collective experience in software pricing, having previously worked with industry leaders like Twilio, Zoom and DocuSign, ensuring expert guidance in SaaS pricing strategies.
6
We recommend doing a better job on the pricing testing phase and to mitigate risk roll out the pricing in a phased manner.
For 80-90% of cases, we do not recommend A/B testing as that creates too much market confusion and overhead (in certain cases, doing an advance roll out in a different geo can work).
7
Competitive information is helpful but only a small piece of the picture. Competitors are in different stages of growth. Their product functionality is also different.
We recently had a client where sales teams pushed for lower pricing to compete with current rivals, but the company’s strategic vision aimed to evolve into a new category, making the competitive pricing data less relevant.
8
To kickstart your SaaS pricing optimization, consider consulting with the experts at Monetizely. You can also deepen your understanding by reading our book "Price to Scale" and enrolling in "The Art of SaaS Pricing and Monetization" course on Maven. These resources are crafted to equip you with the necessary skills and knowledge to refine your pricing strategy effectively.