
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.
In today's competitive business landscape, effective pricing strategies can make or break a company's profitability. For SaaS executives facing this crucial decision, the question often arises: should we build a proprietary pricing tool in-house or leverage an existing SaaS solution? This decision carries significant implications for resource allocation, time-to-market, and overall business agility.
Modern pricing tools have evolved far beyond simple price-setting mechanisms. Today's solutions incorporate sophisticated analytics, customer segmentation capabilities, and predictive algorithms that can directly impact revenue. According to a study by McKinsey, companies that employ advanced pricing tools experience 2-7% higher margins than their competitors using basic pricing methodologies.
"Pricing is the most powerful lever for boosting profits," notes Patrick Campbell, CEO of ProfitWell. "Yet many SaaS companies underinvest in their pricing infrastructure."
Before diving into the build versus buy decision, let's examine what's truly at stake.
Building your own pricing tool offers unparalleled customization. Your development team can design a solution that perfectly aligns with your specific business model, customer segments, and product portfolio.
A custom-built tool can seamlessly integrate with your current tech stack, from CRM systems to ERP platforms, creating a unified data ecosystem that may be difficult to achieve with off-the-shelf solutions.
Proprietary pricing algorithms could potentially provide a competitive edge, especially if your pricing strategy is central to your value proposition.
While the benefits of custom development are compelling, the actual costs often exceed initial projections:
According to data from Gartner, custom software development projects take 3-4 times longer than initially estimated. For a comprehensive pricing tool with analytics capabilities, companies should expect a minimum development timeline of 9-12 months.
"Companies consistently underestimate the complexity of pricing tools," explains Elena Verna, former SVP of Growth at SurveyMonkey. "What starts as a simple calculator quickly evolves into a complex system requiring ongoing maintenance."
While your engineering team focuses on building a pricing tool, they're not working on your core product. This represents a significant opportunity cost, particularly for fast-growing SaaS companies where engineering resources are precious.
Pricing tools aren't static products. They require continuous updates to accommodate new payment models, integration with evolving financial systems, and ongoing security requirements. According to research by Forrester, maintenance costs typically consume 75% of a software application's total cost of ownership.
Pre-built SaaS pricing solutions can be implemented in weeks rather than months or years. This accelerated timeline enables companies to optimize their pricing strategies faster and begin capturing additional revenue immediately.
Leading SaaS pricing platforms incorporate industry best practices, sophisticated algorithms, and continuous improvements based on broad market data. This collective intelligence is difficult to replicate in-house.
By choosing a SaaS solution, your team can remain focused on your primary product and value proposition rather than diverting resources to peripheral (albeit important) systems.
SaaS pricing tools typically operate on subscription models with predictable monthly or annual costs, eliminating unexpected development expenses and maintenance concerns.
Atlassian, the software giant behind Jira and Confluence, initially built their own pricing and billing system. However, as they scaled, they found the maintenance burden unsustainable. They eventually migrated to a specialized third-party solution, which allowed their engineers to refocus on their core products.
"We spent three years and millions of dollars building our own pricing engine," revealed a VP of Product at a leading enterprise SaaS company (who requested anonymity). "In retrospect, we could have been years ahead by implementing an existing solution and customizing it to our needs."
To make this decision effectively, consider the following questions:
Core Competency Assessment: Is pricing technology central to your value proposition? If not, buying likely makes more sense.
Resource Evaluation: Can your engineering team realistically take on this project without compromising core product development?
Time Sensitivity: How quickly do you need sophisticated pricing capabilities? If the answer is "immediately," the build option may not be viable.
Customization Requirements: Are your pricing needs truly unique, or would an industry-standard solution with some customization suffice?
Total Cost of Ownership: Have you fully calculated the long-term costs of building, including maintenance, updates, and opportunity costs?
Many successful SaaS companies ultimately adopt a hybrid approach. They implement a specialized SaaS pricing platform as their foundation, then build custom integrations or modules for their specific needs. This approach balances speed to market with customization requirements.
While the allure of building a custom pricing tool is strong, the reality is that for most SaaS companies, purchasing an existing solution represents the more strategic choice. The immediate implementation, built-in expertise, and ability to keep engineering resources focused on core products typically outweigh the benefits of complete customization.
The build versus buy decision ultimately comes down to honest assessment of your company's resources, timeline, and strategic priorities. By carefully evaluating these factors, you can make a choice that optimizes both your pricing effectiveness and your overall business growth.
If you're evaluating this decision for your organization:
By approaching this decision strategically, you position your company to implement sophisticated pricing strategies without unnecessary resource drain or technical debt.
Join companies like Zoom, DocuSign, and Twilio using our systematic pricing approach to increase revenue by 12-40% year-over-year.