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Software Vendors: Successfully Transitioning to the SaaS Model Without Compromising Growth

Auteur n°4 – Mariami

By Mariami Minadze
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Summary – Shifting from on-premise to SaaS goes beyond mere technical or pricing migration; it demands a product overhaul, customer-relationship and governance realignment, while managing the J-curve revenue dip and potential friction with the existing base. Favor a modular architecture, focus on high-value use cases, ensure built-in scalability, resilience, and security, and tie pricing to customer impact to drive adoption and stabilize cash flow. Solution: a phased migration roadmap, transparent business model, and agile organization with a CI/CD pipeline to turn the SaaS transition into a sustainable growth lever.

The shift from on-premise software to a Software-as-a-Service model involves much more than a technical migration or a simple pricing overhaul. It demands rethinking the product, redefining the economic model, reorganizing customer relationships, and adjusting internal governance. This structural transformation promises recurring revenues, better long-term visibility, and continuous innovation capability.

But it also exposes the vendor to temporary imbalances: a “J-curve” revenue phase, tensions with the installed base, and significant investments. Anticipating these challenges and making clear trade-offs between speed, profitability, and value is essential for success.

Rethinking the Product for SaaS

The transition to SaaS begins with an architectural and functional overhaul of the product to ensure modularity, scalability, and security. It requires prioritizing high-perceived-value use cases and building a platform capable of continuously integrating updates without service interruption.

Each component must be designed to handle increased load and customization needs, while ensuring a consistent experience for all customers.

Modular Architecture and Component Decoupling

Modularity is the foundation of a high-performance SaaS, notably through a microservices architecture. By isolating each feature into an independent microservice or module, you reduce the risk that one update will affect the entire platform. This approach also makes maintenance more agile and shortens time to production.

Moreover, intelligent decoupling allows you to size each service according to its actual load. You can dynamically allocate resources to the most heavily used functions, optimizing both costs and performance. Achieving this operational flexibility is difficult with a traditional monolith.

Finally, a modular architecture simplifies the integration of open-source or third-party components without creating vendor lock-in. If needed in the future, you can replace one element with a better-performing or better-supported alternative without overhauling the entire product.

Prioritizing Features and Focusing on Use Cases

Moving to SaaS means redefining the product roadmap around the highest-value use cases for customers. It’s no longer about piling on features to appeal to every market, but about delivering a solution that’s simple, intuitive, and relevant for the majority of scenarios.

This user-centric approach enables faster delivery of enhanced product versions while capturing feedback that guides future development. Release cycles shorten and customer satisfaction improves.

In Switzerland, a provider of SME management software segmented its offering into “core,” “advanced,” and “industry-specific” features. This prioritization reduced its new-release time-to-market by 40% and focused investment on the most-used modules, immediately enhancing the platform’s value.

Built-in Scalability, Resilience, and Security

A SaaS must be highly available. Any downtime can erode trust and trigger immediate churn. Designing for resilience involves multi-region deployments, automated load testing, and failover mechanisms.

Security must also be embedded from the start: encrypting data in transit and at rest, enforcing strong authentication, conducting regular audits, and maintaining continuous monitoring. These best practices mitigate vulnerability risks and bolster customer confidence.

For example, a Swiss HR software provider implemented an active-active cluster across two Swiss data centers, ensuring over 99.9% availability. This setup demonstrated that a resilient architecture can become a competitive differentiator and reassure enterprise customers about service continuity.

Redefining the Business Model and Pricing

Switching to SaaS radically transforms the business model: you move from one-time license sales to recurring, usage-and-value-based revenues. You must then redesign subscription tiers so billing aligns with customer benefits.

This new financial balance creates a J-curve in revenues, making it crucial to anticipate the temporary decline and the transition investments.

Defining Subscription Tiers Aligned to Customer Impact

Effective SaaS pricing relies on segmenting offers by perceived value: included features, number of users, data volume, and support levels. The goal is to provide an accessible entry point while ensuring a natural upsell path.

This calibration should be based on real-use case studies and user feedback. Too many tiers can complicate choice, whereas a simple and transparent structure builds trust and accelerates buying decisions.

A Swiss logistics software vendor reduced its portfolio from five to three plans, focusing on the most requested modules. This simplification boosted free-trial-to-paid conversion by 25% while clarifying the value proposition.

The J-Curve and Managing Financial Transition

Converting existing customers and ramping up new subscriptions often triggers a temporary revenue dip known as the “J-curve.” It’s then essential to forecast cash-flow needs to cover development, infrastructure, and dedicated support costs.

Accurate financial modeling—incorporating the Customer Payback Period and expected churn rate—enables you to size investments, track gross margin trends, and estimate the total cost of ownership to inform decision-making. This rigor is vital to avoid internal friction and preserve growth.

For instance, a document management company set up a transition fund covering 12 months of recurring-revenue decline. This reserve stabilized operations and financed its cloud infrastructure overhaul without compromising service commitments.

Managing Legacy Contracts and Migration Pricing Strategies

Existing on-premise contracts can impede SaaS conversion. You often need incentives: migration credits, temporary preferential rates, or adjusted contract durations.

Communication around these measures must be clear and educational, highlighting the SaaS value—continuous updates, stronger service-level agreements, proactive support. It’s crucial not to rush customers, yet set a firm cutoff for the legacy model.

A Swiss vertical-solutions vendor offered a service-credit equal to 20% of the on-premise contract value for any migration completed within 18 months. This initiative moved 60% of its installed base to SaaS, preserved customer satisfaction, and avoided protracted discount negotiations.

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Orchestrating Client Migration and Success

Client migration to a SaaS model must be guided by a clear roadmap, broken into progressive phases and validated by success metrics. Success depends on personalized support and tailored onboarding tools.

At the same time, retention and churn management become strategic levers to maximize customer lifetime value and secure recurring revenues.

Phased Migration Roadmap

Implementing a segmented migration roadmap minimizes risk and eases adoption. Typically, you start with a pilot covering a limited scope, followed by gradual expansion to additional users or modules.

Each phase must be validated by clear milestones: performance, user satisfaction, and stability. An internal steering committee ensures coordination among product, support, marketing, and sales teams.

A Swiss cultural association used this approach to migrate its legacy ERP to a dedicated SaaS. Over four phases across eight months, it migrated 80% of users while maintaining over 90% satisfaction.

Transparent Communication and Proactive Support

The key to a successful migration is continuous communication: newsletters, demos, webinars, and targeted documentation. Stakeholders must be kept informed of timelines, expected benefits, and required actions.

Concurrently, a dedicated Customer Success setup takes over: personalized onboarding, training, regular check-ins, and progress reviews. This proactive stance reduces drop-off and accelerates adoption of new features.

A Swiss HR software provider assigned a Customer Success Manager to each major account. Through monthly follow-ups and thematic workshops, advanced feature usage rose from 30% to 70% in under a year.

Measuring Retention and Anti-Churn Actions

To manage retention, track metrics like Net Revenue Retention (NRR), churn rate, and upsell rate. Regular analysis of these indicators helps identify at-risk segments and quickly adjust offerings or support.

Anti-churn actions include automated alerts for declining usage, targeted reactivation campaigns, and satisfaction interviews to understand customer hurdles.

A Swiss property-management software firm cut its churn from 8% to 3% by automating usage-drop detection and offering coaching interventions before cancellation. This approach preserved significant revenues and strengthened customer trust.

Transforming the Organization for Continuous Innovation

Adopting SaaS goes beyond the product: it’s a cultural and organizational shift. You need agile governance, cross-functional collaboration, and continuous delivery processes.

Product, development, infrastructure, and support teams must align around shared goals for retention, satisfaction, and performance.

Agile Governance and Cross-Functional Teams

SaaS success rests on an agile organization. Form squads or tribes that bring together product, development, DevOps, and Customer Success experts, each accountable for a functional area or technical component.

These autonomous teams can iterate quickly, make operational decisions, and respond to customer feedback without heavy hierarchical approval. Governance relies on Objectives and Key Results (OKRs) aligned to retention, satisfaction, and performance.

A Swiss financial-software vendor restructured its R&D into six squads focused on key stages of the customer journey. This transformation cut development times by 30% and increased technical teams’ business-outcome ownership.

Continuous Delivery Tools and Processes

To support accelerated update cadences, deploy a robust CI/CD pipeline. Automate unit, integration, and end-to-end tests to ensure code integrity with every change.

Progressive deployment methods (canary releases, feature flags) limit risk by toggling features in production in a controlled manner. Incidents remain contained and manageable.

A Swiss e-learning platform provider adopted GitLab CI and feature flags to roll out up to ten releases per week. This pace energized innovation and boosted both internal and external satisfaction.

Culture of Experimentation and Feedback Loops

SaaS demands a test-and-learn culture. Features are released in beta to a user subset, usage data is analyzed, and feedback guides refinements before a full rollout.

Continuous A/B testing and user-research studies validate product hypotheses and adjust priorities. This data-driven approach reduces the risk of investing in unnecessary developments.

A Swiss CRM vendor instituted internal hackathons and quarterly customer labs. These experimentation rituals uncovered unexpected use cases and enriched the roadmap while maintaining strong team engagement.

Turn Your SaaS Model into a Driver of Sustainable Growth

The transition to SaaS is a comprehensive undertaking touching product, pricing, customer relationships, and internal organization. Vendors that anticipate technical modularity, revise their business models, carefully orchestrate client migration, and evolve their culture can turn this critical phase into a strategic advantage.

Our experts are at your disposal to support you through every step of this transformation—from defining your architecture to implementing new governance practices. Together, let’s adapt your organization to fully harness the SaaS model and ensure sustainable growth.

Discuss your challenges with an Edana expert

By Mariami

Project Manager

PUBLISHED BY

Mariami Minadze

Mariami is an expert in digital strategy and project management. She audits the digital ecosystems of companies and organizations of all sizes and in all sectors, and orchestrates strategies and plans that generate value for our customers. Highlighting and piloting solutions tailored to your objectives for measurable results and maximum ROI is her specialty.

FAQ

Frequently Asked Questions about the transition to the SaaS model

How can you rethink the architecture of on-premise software for a high-performance SaaS model?

The transition to SaaS requires adopting a modular and decoupled architecture, ideally based on microservices. Each feature is isolated in an autonomous service, making maintenance, updates, and the integration of open source components easier. This decoupling allows independent resource scaling, automated deployment (CI/CD), and limits the impact of changes on the overall platform. The approach also promotes scalability, multi-region resilience, and ensures controlled load growth without service interruption.

How do you define SaaS pricing aligned with customers’ perceived value?

SaaS pricing should be based on perceived value and actual usage: number of users, data volume, included features, and support levels. Structure clear, progressive tiers with an accessible entry point and justified upsell levels. Analyzing real use cases and user feedback helps refine these tiers. Too complex a scheme can hinder purchase decisions, whereas a simple and transparent offering boosts trust and accelerates conversion.

What are the main financial risks associated with the revenue J-curve?

The J-curve results in a temporary drop in revenue during migration, before stabilizing and increasing recurring revenue. The main financial risks include cash flow strain, increased cloud infrastructure costs, and transition expenses (product overhaul, dedicated support). It’s essential to model the Customer Payback Period, anticipate churn rate, and set a transition budget covering this period to avoid any growth disruption.

How do you anticipate and manage the migration of legacy contracts to SaaS?

To migrate legacy contracts, deploy clear incentives: migration credits, temporary preferential rates, or contract extensions. Communication should be educational, highlighting the added value of SaaS: continuous updates, enhanced SLAs, and proactive support. It’s also recommended to set a deadline for ending on-premise licenses to avoid indefinite extensions. These measures facilitate existing client adoption while ensuring a gradual shift to the new model.

Which KPIs should you track to measure the success of a SaaS transition?

Several KPIs are essential for steering a SaaS transition: Annual Recurring Revenue (ARR) to measure the growth of recurring revenue, Net Revenue Retention (NRR) to assess retention and upsell, the customer churn rate to identify attrition risks, and the Customer Payback Period to calculate the return on investment timeline. Finally, the LTV/CAC ratio (lifetime value to customer acquisition cost) verifies long-term customer profitability.

How do you organize client migration to minimize churn?

A successful client migration relies on a phased roadmap: a limited pilot, followed by ramp-up phases validated by milestones (performance, satisfaction, stability). Personalized support through a Customer Success Manager, workshops, and targeted documentation reinforces adoption. Progress indicators and regular feedback ensure continuous adjustment. This approach minimizes churn and allows quick resolution of pain points before full-scale rollout of the SaaS platform.

What mistakes should be avoided when redesigning a product for SaaS?

When redesigning a product, avoid trying to integrate all existing features at once. Prioritize user-centric features by identifying high-value use cases. Do not underestimate the importance of automated testing (unit, integration, end-to-end) to ensure stability. Eliminate non-scalable monolithic architectures and proprietary technology choices made without considering future evolution. Finally, never neglect security: data encryption, strong authentication, and regular audits must be integrated from the outset.

How should you structure your internal team to support continuous innovation in SaaS?

Supporting continuous innovation requires an agile organization with cross-functional teams (squads or tribes) aligned on shared OKRs. Each squad brings together product, development, DevOps, and customer success to iterate quickly. A robust CI/CD pipeline, canary deployments, and feature flags enable frequent releases while controlling risk. Foster a test-and-learn culture with A/B testing and constant user feedback to adjust the product roadmap and optimize delivered value.

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