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Why Dutch makelaars pay too much for property data

Zepilo Team 5 min read

Every time a Dutch real estate agent (makelaar) opens a property record, they need the same handful of data points: the BAG (Basic Addresses and Buildings) registration, the WOZ valuation, the energy label, Kadaster ownership type, and ideally some neighbourhood context. These are not exotic requirements. They are the minimum information needed to list, value, or advise on a property in the Netherlands.

Yet most agents pay separately for this data, often without realising how much it adds up to.

What the data actually costs today

Here is what a solo agent or small agency typically pays:

Kadaster / BAG data: The national BAG register is technically free via the public BAGviewer and the PDOK open data portal. But free does not mean convenient. Agents manually copy dimensions, floor counts, and construction years. This takes 5-10 minutes per property, and errors creep in.

A proper API subscription, the kind that auto-fills a CRM record, runs EUR 20-80/month depending on volume.

WOZ valuations: The WOZ-Waardeloket is free for individual lookups. API access for bulk or automated use costs EUR 30-70/month.

Energy labels: The RVO (Netherlands Enterprise Agency) publishes energy label data, but structured API access with batch capabilities adds another EUR 20-50/month.

Automated valuations (AVM): This is where costs jump significantly. Tools like Calcasa or Matrixian charge EUR 100-500/month for automated market value estimates, rental predictions, and comparable property analysis.

Neighbourhood / area insights: CBS (Statistics Netherlands) and the Leefbaarometer publish aggregate data, but synthesised, agent-friendly neighbourhood intelligence, income levels, livability scores, supply/demand ratios, requires a Matrixian or Brainbay subscription.

Add it up: a full data stack for a single office runs EUR 200-700/month, depending on which products they choose and at what volume.

Why this is an accident of history

The Dutch real estate data landscape was never designed for modern software. Government registers (BAG, Kadaster, CBS, RVO) were built for administrative purposes, not for agents who need instant, combined data in a CRM workflow.

Private companies stepped in to aggregate and normalise this data, and charge accordingly. That is a reasonable business model. But it means agents are paying a fragmentation tax: they pay more because the data comes from five different sources rather than one.

NVM members have somewhat better access through Brainbay (NVM’s data subsidiary), which bundles reference transaction data with Kadaster access. But NVM membership itself costs several thousand euros per year, and non-NVM agents pay for the same underlying data through third-party subscriptions.

What Voseno changes

Zepilo partners with Voseno to provide all of this data at no cost to Zepilo users.

When an agent enters a postcode and house number in Zepilo, the system pulls:

  • Full BAG data (surface area, construction year, floor count, building function, monument status)
  • WOZ valuation, current value plus 5-year history
  • Energy label (current rating, assessment date, assessment method)
  • Kadaster ownership type (freehold vs. leasehold, erfpacht details)
  • Climate risk data (flood risk, heat stress, subsidence risk)
  • Public-law restrictions

This happens in seconds, before the agent has typed anything else into the record.

Beyond the basic record, every property page in Zepilo includes:

  • Area Intelligence tab: neighbourhood demographics, livability scores (Leefbaarometer-equivalent), income distribution, housing stock composition, median asking prices, days-on-market, supply/demand ratios for the area
  • Valuation tab: automated market value estimate with confidence range, rental price prediction, bidding advice (recommended bid, expected overbid percentage, market temperature, competing interest level), and comparable properties with similarity scores

All of this replaces the EUR 200-700/month that agents would otherwise pay for data subscriptions.

The practical impact

For a solo agent (ZZP makelaar), the numbers are stark. A basic Kolibri subscription runs EUR 109/month before any data add-ons. Add Kadaster API access (EUR 40/month), WOZ data (EUR 30/month), and even a basic AVM (EUR 100/month): the total reaches EUR 279/month minimum.

Zepilo Solo costs EUR 59/month and includes all of this.

The data savings alone, EUR 170/month minimum, exceed the entire cost of the CRM subscription.

For mid-size agencies, the picture is similar but multiplied by team size. A 6-person agency on Kolibri pays EUR 184/month in CRM fees plus EUR 150+/month in data subscriptions. Zepilo Team at EUR 149/month covers both, with room to spare.

A note on what this is not

Voseno is a sister company of Zepilo. Both are owned by Flexipixel, the same parent organisation. Voseno’s APIs power the data features in Zepilo, but Voseno operates as its own product with its own customers and roadmap.

This distinction matters. Voseno is not a white-label layer built for Zepilo; it is a standalone property data platform that also serves other clients. The shared ownership means the integration is deeper than a typical third-party API connection, but Voseno’s data products exist independently of Zepilo.

The larger point

Dutch agents have been paying a fragmentation tax on property data for years. It is not because the data is scarce, most of it comes from government registers that are either free or very cheap at source. It is because aggregating, normalising, and delivering that data in a usable form requires infrastructure that individual agents cannot build themselves.

Voseno built that infrastructure. Zepilo integrates it. The result is a CRM where every property record starts complete, accurate, and current, without manual lookups or separate subscriptions.

For agents evaluating CRM software in 2026, the question is not just “which CRM has the best features?” It is “which CRM includes the data I would otherwise pay for separately?” The answer changes the cost comparison significantly.

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