How Nodalview rethought its financial management to handle a complex model — Interview with Thibault Mérat

With a hybrid model combining subscriptions, prepaid credits, and deferred revenue, Nodalview faced significant complexity in tracking its financial metrics. We spoke with Thibault Mérat, Finance & Ops at Nodalview, who explained that between high volume, MRR reliability, and investor reporting, the finance team lacked a truly suitable tool.

After several years using ChartMogul, a competing solution, Nodalview decided to switch to Fincome to make its financial data more reliable, regain a clear understanding of its metrics, and better structure cross-functional collaboration between the Finance, Sales, and Customer Success teams.

Introducing Nodalview: a new vision for real estate

To better understand the financial management choices and constraints at Nodalview, we spoke with Thibault Mérat, Finance & Ops at the Brussels-based scale-up. Having joined in 2021, Thibault is now in charge of reporting, billing tools, and cross-functional data structuring projects (pricing strategy, RevOps, KPIs, etc.). He is also the main finance contact for the implementation and monitoring of Fincome.

Thibault oversees financial reporting, tools, support for the sales teams, as well as structuring projects such as the pricing overhaul.

A B2B platform for real estate professionals

Founded in 2017 in Brussels, Nodalview provides a comprehensive SaaS platform designed for real estate professionals, including agents, brokers, and networks.

Its promise: to provide tools for creating high-quality content (HDR photos, videos, virtual tours, AI home staging), enhancing the buying experience and maximizing listing appeal.

“The original vision was to revolutionize somewhat the way people find their home, (…) what they’re going to call home for their life.”

Today, over 20,000 real estate agents use the solution in more than 30 countries. With around 50 employees, mainly based in Brussels, Nodalview has a clear objective: to reach €10M in ARR in the coming years.

A complex model to manage

Nodalview is far from a “classic” SaaS. Its complex model combines:

• Monthly or annual subscriptions
• Prepaid credits, usable on demand (especially popular with seasonal clients)
• Hardware activities for photo-video equipment

Additionally, there are challenges related to data quality and reporting for demanding investors.

The challenges: aligning reporting, reliability, and performance culture

“We really have a high-volume, low-ARPA business: meaning we have a large mass of clients generating lower average revenue. That kind of volume can’t really be handled in Excel. It quickly becomes unmanageable and prone to human error,” explains Thibault.

A level of rigor made essential after several fundraising rounds

With three fundraising rounds and having reached breakeven a year ago, Nodalview can no longer afford any approximation in tracking its financial KPIs.

The finance team must now deliver reliable, fixed, and defensible reporting, both for the board and historical investors.

“You can’t afford to report to investors saying this month our revenue is X, and the next month come back and say actually, what we told you was completely wrong - that’s not acceptable.”

In this context, data reliability isn’t a “nice-to-have”: it’s a strategic imperative. It directly impacts EBITDA, P&L, and the company’s credibility with stakeholders.

An evolving business environment

To cope with rising complexity, Nodalview recently restructured its teams around a “RevOps” unit, merging finance, data, and revenue operations.
Objective: eliminate silos, align metrics, and ensure a single source of truth.

“We can’t have one department reporting an MRR and another a different MRR,” says Thibault.

In this new setup, the tool used becomes critical. It must be:

• Flexible enough to reflect the model’s specificities (subs, usage, hardware)
• Reliable to support financial management
• Intuitive and accessible to all teams (finance, CSM, sales)

Past limitations

For more than three years, Nodalview relied on ChartMogul to track its financial metrics. But as the company matured, the tool’s limitations became too restrictive.

ChartMogul struggled to handle the accounting and operational specificities of Nodalview’s model, creating frequent discrepancies between real-world activity and analyzed data. Examples of incorrectly handled business cases include:

1. Fixed coupons not prorated or misinterpreted in revenue flows
2. Upsell and downsell movements only partially synchronized, causing artificial fluctuations
3. Calculations disconnected from revenue recognition rules
4. Limitations in analytical depth due to combined filter logic
5. Inability to create custom reports for stakeholders

Additionally, several essential metrics were missing, including CMRR, future MRR, forecasting, and CAC analysis. Others, such as revenue recognition and deferred income (PCA), were simply misreported.

These technical limitations led to persistent gaps between operational reality and dashboards. To restore reliable readings, teams had to carry out systematic, time-consuming manual checks.

Each week, more than half a day was spent reprocessing Excel files just to validate or correct key data.

Beyond the lost time, this hampered the ability to steer the company’s strategy finely:

• Inability to reliably compare plan vs actual
• Difficulty tracking performance by market, particularly in an international expansion context
• Inability to accurately measure the impact of pricing adjustments

The choice of Fincome: toward tailored and scalable management

In response to ChartMogul’s limitations, Nodalview sought to regain a clear, reliable, and usable view of its financial indicators. The need was twofold: a platform capable of accommodating business-specificities, combined with proactive, hands-on support. 

This led to the decision to migrate to Fincome.

A broader functional scope

The first selection criterion was analytical coverage. ChartMogul offered limited reporting, primarily focused on MRR and ARR, with little flexibility to handle specific business cases. Fincome provides a much more complete and granular view, combined with easy custom reporting production, aligned with modern management requirements. It also includes a financial forecasting module and allows:

• Importing a Business Plan
• Building and comparing forecast scenarios
• Tracking plan vs actual gaps, especially by market and/or offering

Better technical integration

From a stack perspective, the Chargebee integration was previously only partial, requiring frequent manual processes. Fincome offers a native and complete Chargebee connection, allowing:

1. Automated import of billing data
2. Handling of complex cases: coupons, plan changes, pricing adjustments, etc.

“Historically, we worked on Team Leader, sending data via Google Sheets. […] Today with Fincome, we have a real Chargebee integration. […] They also offer a HubSpot integration, and exports to our data warehouse will soon be available,” explains Thibault.

A responsive and personalized customer support

One of the turning points was the difference in approach between the two providers. While ChartMogul had a roadmap poorly aligned with finance needs and often unresponsive support, Fincome stood out with a structured, proactive onboarding and long-term support.

Nodalview was able to work with several dedicated contacts to address the team’s needs: on Ops, Finance, and analytics. For each specific requirement, Thibault found the Fincome team’s response quick and effective, especially on churn or deferred revenue rules specific to Nodalview.

The result: measurable impact from day one

Since implementing Fincome, Nodalview has observed immediate and measurable improvements in its processes and indicators:

1. Significant time savings

Thanks to automated reporting, the team saves 4 to 5 hours per cycle by eliminating Excel rework.

2. Improved KPI reliability across the board

All teams (Finance, Sales, Customer Success) now work from a single source of truth, even on complex cases like coupons, upsells, and deferred revenue.

3. More refined marketing management

Indicators like CAC and Payback are automatically calculated, enabling more accurate decisions on acquisition budgets and pricing.

4. Better plan vs actual tracking

The integration of the business plan and forecast scenarios allows real-time tracking of deviations and more proactive strategy adjustments.

5. Fast, quantifiable ROI

Fincome helped Nodalview reduce tool costs while expanding its functional scope.

6. Differentiated product support

The team received structured support, with custom rules delivered in under 30 days and a co-built roadmap.

7. Opening the door to advanced automation

Exports to the data warehouse are planned, along with the rollout of an AI chatbot to support daily analyses.

Conclusion

The switch to Fincome not only improved Nodalview’s technical integration and analytical depth, or allowed cost savings — more importantly, it strengthened data reliability, streamlined cross-team operations, and enhanced strategic clarity.

Beyond the functional benefits, a new approach to financial management has emerged: more structured, more collaborative, and better suited to the challenges of scaling up during a consolidation phase.

“[As a CFO] you’re not just looking for a dashboarding tool. You want a co-pilot. And that’s what we found.”