.png)
Frameworks, core principles and top case studies for SaaS pricing, learnt and refined over 28+ years of SaaS-monetization experience.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
In the complex world of SaaS pricing, one size decidedly does not fit all. The divergent needs, priorities, and decision-making processes of technical and business users create a pricing strategy challenge that many SaaS executives struggle to navigate effectively. Understanding how to price and position your product for these distinct buyer personas can be the difference between rapid growth and stagnation.
Understanding the Fundamental Differences
Technical and business users approach software purchasing decisions from fundamentally different perspectives, influenced by their distinct priorities and evaluation criteria.
Technical Buyers: Value-Driven Evaluators
Technical buyers—developers, IT managers, CTOs—typically prioritize:
- Functionality and capabilities: Does the solution solve a specific technical problem?
- Integration and compatibility: Will it work with existing systems?
- Performance metrics: How reliably and quickly does it operate?
- Technical specifications: What are the exact capabilities and limitations?
- Implementation requirements: What resources are needed for successful deployment?
According to a recent Gartner study, 78% of technical decision-makers rank functionality and performance as their top consideration factors, compared to just 42% of business decision-makers.
Business Buyers: ROI-Focused Decision Makers
Business users—department heads, operations managers, C-suite executives—typically focus on:
- Business outcomes: How will this improve our bottom line?
- ROI timeline: When will we see returns on this investment?
- Competitive advantage: Will this help us outperform competitors?
- Ease of adoption: How quickly can our team start using this effectively?
- Scalability concerns: Will this solution grow with our business?
A McKinsey report found that business buyers are 65% more likely to emphasize ROI calculations in their purchasing decisions than their technical counterparts.
Pricing Models That Resonate With Each Persona
The key to effective SaaS pricing lies in aligning your strategy with the value perceptions of each buyer persona.
For Technical Buyers:
1. Feature-Tiered Pricing
Technical users appreciate granular control over what they're paying for. Feature-tiered pricing allows them to select packages based on specific technical requirements.
2. Usage-Based Models
Pay-as-you-go models appeal to technical buyers who understand exactly how much of a resource (API calls, compute time, data storage) they need and prefer to pay accordingly.
3. Developer-Friendly Free Tiers
Atlassian's journey illustrates this approach well. Their free tier for developers helped build massive adoption of Jira and Confluence before those tools moved upmarket into enterprise deals.
"We give developers the ability to try before they buy, with no time limit," explains Scott Farquhar, Atlassian's co-founder. "When they're ready to scale, they're already familiar with our tools."
For Business Buyers:
1. Outcome-Based Pricing
Business users respond positively to pricing tied to business outcomes. Salesforce pioneered this approach by emphasizing ROI and business impact rather than technical features.
2. Simplified Tiered Packages
Clear, benefit-focused packages with transparent pricing reduce friction for business buyers. HubSpot's straightforward Starter/Professional/Enterprise structure exemplifies this approach.
3. Value-Metric Pricing
Pricing based on a metric that aligns with value delivered (seats, contacts managed, revenue processed) makes sense to business users thinking in terms of organizational impact.
Hybrid Approaches for Maximum Effectiveness
Many successful SaaS companies are now implementing hybrid pricing strategies that can appeal to both buyer types simultaneously.
Case Study: GitHub's Pricing Evolution
GitHub offers an instructive example of balancing technical and business buyer needs. Their pricing model offers:
- For technical buyers: Repository limits, CI/CD minutes, and specific developer features
- For business buyers: User management, security controls, and compliance features
This dual approach has contributed to GitHub's sustained growth, with over 83 million developers now using the platform.
Case Study: Databricks' Multi-Dimensional Model
Databricks employs a sophisticated pricing strategy that appeals to both data engineers (technical) and business analysts:
- For technical users: Compute-based pricing with technical specifications
- For business users: Simplified packages that focus on business outcomes and use cases
This strategy helped Databricks reach a $38 billion valuation by effectively serving both audiences.
Implementation: Practical Steps for SaaS Executives
How can your organization effectively implement persona-based pricing strategies?
1. Conduct Buyer Research
Before adjusting pricing, invest in understanding the specific value drivers for each persona. Groove HQ found that conducting in-depth interviews with just 15-20 customers from each segment revealed clear pricing preference patterns.
2. Develop Clear Value Narratives
Craft distinct messaging that speaks to the priorities of each buyer type. Salesforce does this masterfully—technical documentation for IT evaluators and ROI calculators for business stakeholders.
3. Optimize the Buying Process
According to research by Price Intelligently, business buyers are 3x more likely to request a demo before purchase, while technical buyers prefer self-service options. Ensure your sales process accommodates both preferences.
4. Test Before Scaling
Implement A/B testing of different pricing presentations and structures. Zoom found that technical buyers converted 27% higher when shown feature-specific pricing details, while business users converted 31% better when shown outcome-focused pricing pages.
Conclusion: Finding Your Pricing Balance
Effective SaaS pricing requires recognizing the fundamental differences between technical and business buyers while creating a coherent strategy that serves both. The companies achieving the greatest pricing success don't force these distinct personas into a single pricing model but instead create flexibility that acknowledges their different decision-making processes.
For SaaS executives, the path forward is clear: develop pricing strategies that speak the language of each buyer persona, communicate value in their terms, and offer the flexibility they need to make confident purchasing decisions. By doing so, you'll unlock growth potential from multiple buyer segments simultaneously—and gain a significant competitive advantage in an increasingly crowded market.