Eleven listings on a staging comp sheet that decide nothing on their own
Say someone builds a sheet to answer whether staging is worth it on a house about to be listed, and pulls 11 listings in one submarket over 14 months, same general price band, 240k to 330k, all detached, all three bed. Six were staged per the photos, five vacant. Staged group median 21 days to contract, vacant group median 44. Staged group closed at a median of 99.1 percent of list, vacant at 96.4. That looks decisive and it should not be trusted at face value. Three problems stand out. The staged six were all listed by two agents who also happen to be the two agents who do the most volume in that submarket, which means the sheet is probably measuring agent quality more than staging. Two of the vacant five were estate sales with deferred maintenance, so condition is confounding the result as well. And a sample that size would need to be five times bigger before the medians mean much statistically. Say the decision in front of an operator is a 1,900 sq ft house closing next month, rehab about 40k, listing near 289k, with a stager quoting 4,100 for install over a 60 day carry at 2,100 a month. The sample cannot be fixed after the fact. The more useful question is whether there is a way to separate the staging effect from the agent effect without needing a hundred data points, and the honest answer is that in a single submarket you usually cannot, so the decision comes down to whether the stager's fee is small relative to one extra week of carry saved, which on these numbers it generally is.