
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.
Construction software pricing strategy is a critical competitive differentiator that directly impacts both vendor profitability and customer adoption in this highly specialized vertical. Effective pricing models must balance the diverse needs of the construction ecosystem while capturing appropriate value for transformative digital capabilities.
Construction software companies face a fundamental challenge in designing pricing models that accommodate industry complexity without confusing potential buyers. The sector's diverse customer base—ranging from small specialty subcontractors to multinational general contractors—requires nuanced pricing approaches that can serve multiple segments effectively.
Research from Stripe highlights that overly complex tier structures with overlapping features often cause decision paralysis among construction software buyers, leading to lower conversion rates [2]. The solution isn't simplifying the software itself, but rather creating transparent pricing tiers that align with customer segments and clearly communicate value.
Unlike many SaaS verticals with predictable usage patterns, construction software utilization fluctuates dramatically based on project lifecycles. This creates unique challenges for subscription-based pricing models.
According to Cobloom's industry analysis, flat-rate pricing models fail to capture the variable usage value across different project scales, deterring smaller customers while potentially undercharging heavy users [4]. Leading providers have responded by implementing tiered subscription pricing combined with modular add-ons, especially for AI-powered features like risk detection and predictive analytics.
The integration of artificial intelligence into construction software introduces new pricing complexities. As reported by Thales CPL, construction software vendors often struggle with AI feature pricing, either underpricing (reducing perceived value) or overpricing without clear benefit articulation [5].
The most successful pricing strategies for AI-enhanced construction software are increasingly embracing:
Construction software buyers don't just vary by company size—they differ by role, specialty, and digital maturity. Neglecting this segmentation in pricing strategy leads to missed revenue opportunities and reduced competitiveness.
Vendr's research indicates that construction software providers must tailor pricing packages to distinct roles (e.g., project manager vs. site worker) and company sizes to maximize market penetration [1]. The most effective models incorporate user-based components alongside usage metrics to reflect both organizational scale and intensity of use.
Perhaps the most persistent challenge in construction software pricing is effectively communicating the value proposition, particularly for AI and advanced features. Without clear ROI articulation, even the most sophisticated pricing model will struggle to gain traction.
Industry analysis shows that construction software companies must maintain transparent pricing communication that explicitly connects fees to productivity gains or risk mitigation benefits [3]. This is especially crucial when implementing usage-based or consumption-based pricing elements that may be unfamiliar to traditionally subscription-oriented construction buyers.
As a leader in SaaS pricing strategy, Monetizely brings over 28 years of combined pricing leadership experience to the construction software industry. Our team's background includes executive pricing roles at major technology companies like Zoom, Twilio, DocuSign, LinkedIn, and Squarespace, giving us unparalleled insight into successful SaaS pricing models.
While Monetizely works across multiple SaaS verticals, our approach to construction software pricing is tailored to address the unique challenges of this industry. We understand that construction software spans multiple segments—from small specialty subcontractors to multinational general contractors—each with distinct budgets, usage patterns, and value perceptions.
Our team excels at developing pricing strategies that accommodate project-based workflows, where software utilization fluctuates based on project lifecycles. This expertise allows us to design models that balance predictability for customers with value capture for vendors.
For construction software companies, we offer several specialized services:
Strategic Product Innovation - We help construction software providers develop pricing strategies for new product launches, AI feature monetization, and anti-commoditization packaging. Our expertise in GenAI pricing strategy is particularly valuable as construction software increasingly incorporates AI-powered features for scheduling, risk management, and material procurement optimization.
Pricing Model Shifts - When construction software companies need to transition between pricing approaches—such as moving from subscription to usage-based models or adjusting strategies to expand into new market segments—our team provides comprehensive guidance. We've successfully implemented platform fee and usage-based models that preserve revenue while opening new market opportunities.
Price Point Optimization - Our data-driven approach optimizes tier pricing, discount structures, and contract terms to maximize both customer acquisition and lifetime value. For construction software companies targeting different customer sizes or geographic markets, our optimization services ensure pricing aligns with segment-specific value perception.
Unlike traditional pricing consultants, Monetizely brings a product management and marketing perspective to pricing strategy. This approach ensures that our pricing recommendations align with both market realities and product development cycles.
Our methodology includes:
Agile, In-Person Structured Research - We conduct tailored, ongoing research aligned with agile product development cycles, rather than relying on static, one-time studies.
Benchmark Analysis - We evaluate your current pricing structures against evolving construction software industry standards to identify specific improvement opportunities.
Implementation Support - Beyond strategy, we provide practical implementation assistance, including internal training and customer communication strategies to ensure smooth transitions to new pricing models.
Tooling & Enablement - We develop pricing calculators, sales enablement materials, and training programs to support your new pricing model and ensure organizational alignment.
While we can't share specific construction software case studies, our work with similar B2B SaaS companies demonstrates our impact:
For a $10 million ARR IT infrastructure management software company, we transformed an ad-hoc pricing model into a structured approach aligned with enterprise GTM strategy, rationalized packages, and implemented a combination pricing metric of users and company revenue.
For a digital communication SaaS leader, we implemented usage-based pricing with platform fee guardrails, preventing a potential 50% revenue reduction while enabling new market opportunities.
For a $30-40 million ARR SaaS company, we revamped packaging and pricing to fit their enterprise-focused GTM motion, resulting in 15-30% larger deal sizes and 100% sales team adoption.
Our clients in the construction software space choose us because we bring:
Operational Experience - Unlike purely academic pricing consultants, our team has managed real-world pricing implementations, including complex elements like CPQ systems, engineering feature flags, billing systems, and sales compensation adjustments.
Capital Efficiency - We deliver customized, impactful research at significantly lower costs compared to traditional approaches like conjoint analysis, which often cost $150,000+ and are difficult to apply in enterprise B2B settings.
Industry-Specific Insights - Our team stays current with construction technology trends, understanding how evolving capabilities like AI, mobile functionality, and integration requirements impact pricing strategy.
Implementation Expertise - We don't just recommend pricing changes—we help you implement them with detailed roadmaps covering internal training, customer communication, and system updates.
By partnering with Monetizely, construction software companies gain access to pricing expertise that transforms their revenue performance while aligning with both market expectations and internal capabilities. Our strategic approach ensures that your pricing strategy becomes a sustainable competitive advantage in this rapidly evolving industry.
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.