SME buyer matching starts with shared facts

In an SME business transfer, four parties usually sit at the table: the owner, the potential buyer, the advisor or advisors, and the bank. Each arrives today with a separate spreadsheet, normalisation, multiple and risk view. The first weeks of a negotiation often go to debating the facts instead of the price.

That is not negotiation. It is translation. And translation is where deals stall: not because the parties have incompatible interests, but because they no longer trust the same version of the file.

What a shared fact base means in practice

It does not mean every party agrees on everything. Then there would be no negotiation. It means everyone works from one underlying data foundation, viewed at the right level of detail for their role:

• The owner sees the valuation range, the reasoning behind it and the strategic levers that move the number.
• The buyer can run scenarios on the same dataset with their own assumptions on growth, synergies and integration risk.
• The advisor can inspect normalisations, methodology and sensitivity analysis to defend the client’s side of the negotiation.
• The bank can review financeability, cash-flow projections and debt-service coverage under different scenarios.

Disagreement remains, but it moves from the facts to the interpretation. That is a much more productive disagreement.

How shared facts shorten transaction time

Markets that build this foundation show a consistent pattern: time to transaction falls, volume rises and the spread between seller ask and buyer bid narrows. Residential real estate after data portals, used cars after vehicle-history products and venture deals after databases like PitchBook all follow the same logic.

Negotiation space does not disappear. It moves from fact disputes to strategy. Strategy can be negotiated productively. Two conflicting versions of normalised EBITDA cannot.

Building block 5: buyer matching at scale

The first four building blocks solve the first half of the transfer cycle: from intent to a defensible valuation everyone understands. The fifth solves the second half: from valuation to an actual buyer.

Today, that second half is a black hole. An owner in Antwerp selling a €4 million revenue manufacturer does not know that a German strategic buyer has spent eight months looking for exactly that type of company in the Benelux. The owner appears on a fragmented marketplace, receives a few serious requests and many low-intent inquiries, and the German buyer never sees the file.

Buyer matching at scale means buyers register their search profile up front: sector at NACE/SBI level, revenue band, geography, EBITDA margin, ownership structure and strategic or financial angle. The system then matches incoming valuations against those profiles and initiates contact.

That is not a marketplace. A marketplace shows listings. It does not structure demand. Upswitch is building a qualified-demand engine, closer to how corporate-development teams build pipelines than to how classic business-for-sale platforms show files.

Why buyer matching only works after the other blocks

It is tempting to start with matching. It is visible, easy to explain and attractive in a pitch. But without the underlying fact layer, a matching platform is just a better classifieds page.

A German strategic buyer will only take a first call with a Belgian company if they trust the valuation. If normalisation is inconsistent, methodology is opaque or the shared fact base is missing, the matching process falls apart at the first serious due diligence step.

What this means for Europe

European SME transfers are still overwhelmingly local. A company in Flanders is usually sold to a buyer in Flanders or a neighbouring region. Not because that is optimal. A German, French or Dutch strategic buyer may pay more because of synergies. But the coordination cost of a cross-border deal is still too high.

Infrastructure that combines a shared fact base with structured buyer matching changes that. The Antwerp owner becomes visible to the Munich buyer. The valuation is in a format the buyer’s advisor can reproduce. Due diligence moves faster because the reasoning is transparent. A cross-border deal that takes nine months today can come back to three or four months.

How Upswitch builds this infrastructure

The shared fact base is already embedded in our data architecture. Every valuation produces a common, Upswitch Index-compatible data format that authorised stakeholders can inspect according to their role: owner, advisor, bank or active buyer.

Buyer matching is on the 2026 roadmap. The MVP focuses on the Benelux: buyers define their search profile, and the system automatically matches them with valuations that sellers have explicitly opened for matching. From 2027 onward, the ambition expands to the UK, Germany and the Nordics.

The fact layer that matching rests on is public: the Upswitch Index per business type, per country, with transparent methodology.