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Building a Truly Profitable SaaS: Key Features, User Experience, and Pricing Strategy

Auteur n°3 – Benjamin

By Benjamin Massa
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Summary – In a saturated market, a profitable SaaS must articulate a clear business value proposition, a UX designed for activation and retention, and flexible, usage-aligned pricing. From a focused MVP (3–5 priority features) to data-driven management, interactive onboarding, tiered pricing and contextual upsell, every lever optimizes adoption and MRR.
Solution: requirements audit, UX co-design, pricing roadmap and modular architecture for secure scaling.

Launching a SaaS goes beyond developing a high-performance application: it’s primarily about precisely addressing a business need, ensuring a seamless experience, and sustaining revenue through an appropriate pricing model.

Successful companies don’t rely solely on technology; they orchestrate three inseparable levers: a clear value proposition, user experience designed to drive adoption and retention, and a pricing policy that creates recurring value. In this article, we explain how to move from a validated minimum viable product (MVP) to a scalable and profitable SaaS offering, illustrating each point with an example of a Swiss company facing these challenges. You’ll learn how to avoid feature overload, pricing mistakes, and UX pitfalls.

Functional Value Proposition

A strong value proposition is built on an accurate understanding of business needs and the prioritization of features that deliver measurable impact. This first lever determines the adoption and financial viability of your SaaS.

Identify Business Needs and Target Segment

To build a truly relevant SaaS, you must first conduct a thorough analysis of end users’ processes and constraints. This step includes interviews, co-design workshops, and observing their operational environment. Mapping pain points and potential gains helps define a minimal, differentiated functional scope.

For example, a Swiss industrial manufacturer wanted to digitize its supply chain management. After several workshops with logistics and finance managers, it became clear that real-time inventory synchronization and automated order generation were the high-value features. This field research avoided unnecessary development and guided the product team toward measurable priorities.

The identification phase shouldn’t drag on: an MVP limited to three to five key features validates the concept quickly. Early tester feedback then informs the roadmap, rather than adding modules without proof of usefulness.

Prioritize Features by Impact

Once the feature list is established, prioritize according to two criteria: direct impact on user productivity and monetization potential. Each feature is scored on a business-value scale, distinguishing essential modules from those that can wait for a later phase.

This empirical approach prevents feature creep, where the product becomes too complex, confusing, and hard to maintain. By focusing on components that deliver a fast return on investment, the team can concentrate on technical quality and user experience.

Value-driven governance also accelerates adoption: early users quickly perceive tangible benefits, facilitating recommendations and initial engagement.

Validate Product-Market Fit

After launching the MVP, it’s crucial to regularly measure adoption metrics: activation rate, usage of key features, qualitative feedback, and satisfaction indicators. These metrics feed a continuous improvement cycle and highlight priority adjustments.

A Zurich-based B2B service provider implemented a SaaS portal for managing ISO certification requests. After the initial release, metrics showed that only two out of five modules were actually used. Armed with this data, the team reallocated resources to strengthen document management and alert automation, demonstrating the importance of a data-driven approach.

Without this process, a product can become a “feature factory” without effectively meeting market expectations or generating enough traction to evolve sustainably.

User Experience Designed for Adoption and Retention

Well-designed UX eases onboarding and minimizes friction during early use. It’s a key retention and advocacy factor, essential for a sustainable SaaS model.

Adopt a User-Centered Design Approach

SaaS UX should rely on interactive prototypes and user testing from the earliest development stages. Wireframes and mockups validate workflow comprehension and anticipate bottlenecks—whether complex forms, multi-tier navigation, or domain-specific jargon.

A cantonal public agency ran design sprint workshops for its administrative records management application. By testing workflows with municipal representatives, the team simplified the interface, reduced the number of screens, and aligned terminology with users’ language—demonstrating the value of co-design to limit negative feedback during rollout.

This iterative approach ensures the application meets real use cases, accelerating user adoption and reducing the need for extensive training.

Refine Onboarding to Accelerate Activation

The onboarding journey is the critical moment when users assess product value. An interactive guide, short video tutorials, and progressive checklists ease tool discovery and encourage first concrete actions. It’s also wise to offer webinars or targeted training sessions for more complex segments.

For example, a Geneva-based fintech start-up integrated contextual tutorials directly into its portfolio management interface. New clients configured their accounts and completed first transactions in under 15 minutes, tripling activation rates compared to traditional PDF-based onboarding.

Optimized onboarding reduces early drop-offs and increases the likelihood of converting trials into paid subscriptions.

Implement Retention and Engagement Mechanisms

Beyond activation, retention relies on contextual reminders and follow-ups: in-app notifications, personalized transactional emails, and performance dashboards. These elements reinforce the SaaS’s value proposition and provide usage and ROI indicators.

A Swiss SME in the renewable energy sector introduced proactive notifications and automated monthly reports for its clients. This approach consistently highlighted achieved benefits, anticipated scaling needs, and reduced churn by 20%, demonstrating the direct impact of continuous engagement.

Analyzing usage patterns and segmenting users by needs also enables personalized interactions, early identification of at-risk accounts, and targeted offers of advanced features to the most engaged users.

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Pricing Strategy for SaaS

SaaS pricing must align with the value proposition and market maturity, while remaining flexible enough to evolve with demand. A clear, transparent model supports purchasing decisions and minimizes sales objections.

Select the Right Model: Subscription, Freemium, or Usage-Based

Monthly or annual subscription models are the most common, offering predictable cash flow and long-term commitment. Freemium can drive rapid acquisition, provided the free and paid feature balance is carefully calibrated to avoid value dilution.

A Swiss financial services firm launched a freemium model with all reporting features free. Users saw no reason to upgrade to Premium. After adjustments, only compliance alerts and advanced exports required payment, resulting in a 35% increase in Monthly Recurring Revenue (MRR)—highlighting the importance of precise freemium calibration.

Pay-as-you-go can also suit markets with highly variable usage volumes, but it demands reliable measurement tools and transparent billing communication.

Segment and Tier Pricing

Offering multiple plans (Standard, Pro, Enterprise) covers different user profiles and captures value where it’s created. Each tier should address a distinct need: user volume, advanced features, Service Level Agreement (SLA), or dedicated support.

A SaaS publisher serving the Swiss healthcare sector revamped its price tiers by adding a “Premium Plus” option with direct integrations to hospital systems. This new offering convinced 15% of Enterprise customers to upgrade, proving that well-calibrated segmentation can drive significant upsell without complicating pricing.

Clear pricing tables and highlighted benefits for each plan simplify understanding and accelerate buying decisions.

Upselling and Expansion Strategies

To maximize customer value, identify growth or peak usage phases where upgrading makes sense. In-app prompts or targeted email campaigns can introduce additional features or advanced support services.

An industrial fleet management SaaS deployed an upsell journey based on predictive usage analysis. When a fleet reached a critical maintenance threshold, an automated offer for an advanced scheduling module appeared, complete with quantified ROI. These campaigns achieved a 40% conversion rate, proving the effectiveness of data-driven upselling.

Aligning actual usage with upgrade proposals creates value for users and secures revenue growth.

Scalability and Architecture to Support Growth

Moving from an MVP to a scalable SaaS requires a modular, secure architecture that supports integrations. Without this foundation, performance, reliability, and evolution capacity will be quickly constrained.

Deploy a Modular Cloud Architecture

A microservices or serverless architecture on public or private cloud allows each component to scale independently and adjust resources as needed. This modularity reduces bottleneck risk and optimizes operational costs.

An online training provider in Switzerland reengineered its infrastructure to separate the video module, user management, and recommendation engine into distinct microservices. When the platform hit 10,000 concurrent sessions, each service scaled autonomously, ensuring a smooth user experience during peak demand.

This approach also facilitates continuous updates and targeted maintenance without global service interruptions.

API Integrations and Hybrid Ecosystems

To ensure a SaaS fits into a client’s IT ecosystem, offer RESTful APIs or GraphQL endpoints that are well-documented and secure. Connectors to CRM, ERP, or BI tools increase perceived value and encourage longitudinal adoption.

A Swiss professional association integrated an HR SaaS module via standard APIs to automatically sync employee data with its ERP. This integration cut record-update time by 70% and demonstrated the importance of an API-first design for rapid, reliable deployment.

By combining open-source components and custom developments, you create a tailored ecosystem that avoids vendor lock-in while leveraging proven solutions.

Security and Compliance as Foundations

Scalability isn’t just about technical resources; it also requires ensuring data security and regulatory compliance from the outset (privacy by design). Strong authentication, network segmentation, and data encryption are non-negotiable.

A cantonal public body in Switzerland adopted a zero-trust approach for its urban planning management SaaS. Every API call is authenticated, data is encrypted in transit and at rest, and regular security audits are automated. This rigor not only enhanced service reliability but also reassured users and regulators.

Embedding compliance (GDPR, ISO standards) into the architecture avoids costly reworks and guarantees smooth scaling without compromising customer trust.

Turning Your SaaS Proposition into Sustainable Growth

A profitable SaaS combines a focused functional offering, UX optimized for activation and retention, value-aligned pricing, and an architecture ready to scale. Each lever must work in concert to avoid classic pitfalls and build a sustainable, evolutive product.

Our experts at Edana support companies in defining their value proposition, designing UX, implementing pricing models, and crafting technical architectures. If you’re looking to evolve your MVP into a scalable, profitable SaaS or rethink your strategy to strengthen your position, our team is at your service for tailored guidance.

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By Benjamin

Digital expert

PUBLISHED BY

Benjamin Massa

Benjamin is an senior strategy consultant with 360° skills and a strong mastery of the digital markets across various industries. He advises our clients on strategic and operational matters and elaborates powerful tailor made solutions allowing enterprises and organizations to achieve their goals. Building the digital leaders of tomorrow is his day-to-day job.

FAQ

Frequently Asked Questions about SaaS Profitability

Which metrics should you track to measure SaaS profitability?

To assess a SaaS's profitability, monitor MRR (monthly recurring revenue), churn rate, LTV (customer lifetime value), CAC (customer acquisition cost), and ARPU (average revenue per user). Supplement these with activation rate and user satisfaction (NPS) to identify adoption barriers. Regular tracking of these KPIs helps guide the roadmap and adjust pricing to maximize growth.

How do you develop a pricing model aligned with your value proposition?

Pricing should reflect the value delivered to each user segment. Identify high-value features and organize them into plans (Standard, Pro, Enterprise). Test different pricing tiers during the MVP phase to gather objections, and adjust your freemium or pay-as-you-go offerings based on actual usage. Transparency and clear pricing tiers facilitate decision-making and reduce haggling.

Which UX pitfalls should you avoid during onboarding to maximize activation?

Avoid overly long or theoretical onboarding: PDF tutorials without support and complex forms hinder adoption. Instead, use interactive guides, progressive checklists, and embedded contextual tutorials. Test your flow with end users to eliminate jargon and simplify screens. Well-crafted onboarding accelerates value discovery and reduces initial drop-off.

How do you prioritize features in an MVP to ensure scalability?

Ground your prioritization on business impact and monetization potential. Limit your MVP to 3 6 differentiating features identified through user workshops and pain-point mapping. Score each feature based on its estimated ROI and adoption to avoid feature creep. This approach lets you quickly validate the concept, focus resources on quality, and ensure a modular architecture ready to scale.

Which technical risks should you anticipate for a modular SaaS architecture?

Watch for bottlenecks arising from service dependencies, vendor lock-in, and technical debt. Adopt a microservices or serverless architecture to isolate components and allocate resources independently. Plan for secure, well-documented APIs to ease integrations. Automate testing and CI/CD to quickly catch regressions and ensure reliability under load.

How do you integrate security and compliance into a SaaS from the outset?

Apply privacy-by-design principles by encrypting data in transit and at rest, and implementing strong authentication. Segment the network and automate security audits. Incorporate GDPR requirements and ISO standards into your architecture from the start to avoid costly redesigns. A zero-trust approach builds confidence and secures interactions between microservices and APIs.

How does open source facilitate the evolution and customization of a tailored SaaS?

Open source provides a foundation of proven, modular components, enhancing flexibility and adaptability. It reduces licensing costs, simplifies the integration of new modules, and avoids vendor lock-in. With an active community, you benefit from rapid fixes and regular updates. This approach strengthens the longevity and evolvability of a tailored SaaS.

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