Copenhagen condos at DKK 7,843,000: are fees affecting negotiations?

[radar.round]

I need to decide whether this sample is useful before spending more time expanding it. The trade-off is between a quick market snapshot and a comparison detailed enough to separate fees from condition and seller motivation.

It covers Copenhagen condos from DKK 6,275,000 to DKK 9,412,000, with DKK 7,843,000 as the reference. I am seeing a +5.9% movement and a median marketing period of about 21 days, but renovation differences make those headline figures unstable.

The agents disagree on whether transaction costs are leading buyers to lower their offers, walk away or simply wait, and some attribute the pattern to seasonality. My next step could be to track original asking price, completed price and condition for each unit, while recording withdrawn stock separately. Would that be more revealing than trying to infer fee sensitivity from marketing time? Is there any practical way to distinguish a fee objection from a seller who is not motivated to negotiate?

 

[kite.swift]

First clarify which fees you mean. Buyer-side transaction costs may not be something the seller can directly negotiate, so any pushback could appear as a lower purchase offer instead. Agent fees would be a different conversation involving the seller. I would compare completed sales with their original asking prices rather than infer much from 21 days of marketing.

 

[MiroJames]

I’m not convinced condition is the main source of noise. How tightly did you draw the neighbourhood boundaries, and does the +5.9% compare like-for-like periods? A few newly renovated units in one pocket could distort a small Copenhagen sample. Withdrawn listings also matter: they disappear without becoming evidence that buyers accepted the pricing or fees.

 

[lila_escrow]

Separate the sample into sold, still listed and withdrawn, then note when each price cut occurred. For completed sales, compare similar condition and location; for active stock, record new-listing volume and seller motivation where it is actually known. Buyer financing may explain why two apparently similar offers respond differently to total costs. That should reveal whether “fees” are genuinely driving decisions or are simply the explanation being attached to ordinary price resistance.