The Features Buyers Actually Care About (And Ones They Ignore)
- Apr 29
- 5 min read
There are two kinds of real estate debates: the ones people argue about at cookouts, and the ones the data quietly settles while everyone’s still talking.
This episode is the second one.
Instead of guessing what buyers say they want, it uses a tool inside the Multiple Listing Service (MLS) to test what features actually change the number of matched buyers. The setup is simple: a partial listing is created in the MLS using a rental property that’s already owned, then the MLS price analysis tool is run to see how many buyers match that home based on saved searches inside the MLS. From there, features get toggled on and off, the listing is saved, and the analysis is rerun to see what moves the needle.
At $450,000, the baseline match count is 168. From there, it turns into a feature-by-feature “what if” experiment, and some of the results are… louder than an open house where someone’s toddler finds the piano.

The Features Buyers Actually Care About: What the MLS Buyer-Match Tool Shows
The Features Buyers Actually Care About: This buyer-match count reflects saved searches inside the MLS. It doesn’t represent every buyer in the world, but it’s described as a meaningful slice of the market, and it behaves like a signal for buyer interest.
With the baseline set at 168 matched buyers, the episode starts changing features and watching what happens.

One-level homes: the buyer count takes the stairs… down
The test home is described as a tri-level. When it’s changed to a one-level home, the matched buyers jump:
Tri-level: 168
One-level: 204
That’s 168 → 204, which is a big swing. (Apparently, the market has spoken: fewer stairs, fewer stares.)
Age of the home: the sweet spot shows up
The home is described as 50+ years old. Changing that age category increases matched buyers:
50+ years: 168
11–20 years: 188
1–5 years: 196
New / never lived in: 190
The tool shows the 1–5 year category pulls the highest count here. (So yes, “new-ish” is having a moment. Brand new still gets attention, but not the most.)
Lot size: Big yards don’t automatically mean big demand
Lot size starts at half an acre or less and is adjusted upward. The changes are small:
Half acre or less: 168
Half acre to one acre: 170
1 to 2 acres: 173
2 to 5 acres: 173
So in this test, acreage doesn’t act like a magic spell. (More land doesn’t necessarily mean more “sold” — it just means more grass to judge.)
Primary on main: the feature that actually flexes
The home layout is described as a tri-level with living areas on the main level and bedrooms upstairs and downstairs. When the “Primary Bedroom on Main Level” field is switched in the correct MLS section, the buyer-match count jumps hard:
Primary on second level: 168
Primary on main: 198
That’s 168 → 198. (This one is doing push-ups in the buyer pool.)
Fenced yard: helpful, but not the headline act
Removing the fenced yard drops the count slightly:
With fenced yard: 168
Without fenced yard: 166
A two-buyer drop. (So the fence matters… just not enough to start a neighborhood group chat.)
Views: a little bump… until the lake shows up
Different lot/view features are tested:
Mountain view: 170
Cul-de-sac: 168
Water view: 174
Lake: 185
“Lake” jumps the count to 185. (Apparently, “water view” is nice, but “lake” is a personality.)
Basement: it moves, but only a little in this run
Removing the basement reduces the count slightly:
With basement: 168
Without basement: 166
A small shift, but it’s still a shift. (Basements: not everyone’s dream, but enough people want one that the count notices.)
Pools: inground is a cannonball, above-ground is a question mark
This is one of the biggest feature swings in the episode:
Inground pool: 190
Above-ground pool: 167
So yes, an inground pool raises the match count to 190, and above-ground drops it to 167. (One says “resort.” The other says, “please don’t judge my ladder.”)
Solar: buyers aren’t searching for it here
Both leased and owned solar are tested, and neither changes the count:
Leased solar: 168
Owned solar: 168
No movement. (Solar is apparently in the “nice if it’s there” category, not the “I filtered for it at 2 a.m.” category.)
Attached garage: the tool notices
The home starts with a detached two-car garage. Switching to an attached two-car increases matched buyers:
Detached two-car: 168
Attached two-car: 179
That’s 168 → 179. (The market is basically saying, “We like our groceries close to home.”)
The “doesn’t move the number” hall of fame
A surprising number of upgrades don’t change the matched buyer count in this dataset, including:
Outdoor kitchen: 168
Hot tub: 168
Full yard sprinkler system: 168
Walk-in pantry (vs pantry closet): 168
Split floor plan: 168
Walk-in closet: 168
Sunroom: 168
Workshop: 168
Wine cellar: 168
Water heater changes (electric to gas; gas tankless): 168
Carpet added as a flooring option: 168
That doesn’t mean these features are “bad.” It means the buyer-match count didn’t change when they were toggled here. (Some upgrades are like sprinkles: fun, but not the reason someone ordered the cupcake.)
Office/study: adds buyers… but not at the cost of a bedroom
Adding an office/study increases the count:
Office/study: 177
But changing the home from four bedrooms to three (treating one bedroom as an office) drops the matched buyers:
Four bedrooms baseline: 168
Three bedrooms with office concept: 141
That’s a sharp decline. (The market likes an office. It just doesn’t want to pay for it with a missing bedroom.)
Second living quarters: a noticeable bump
Adding second living quarters increases the count:
Second living quarters: 174
So it brings in more matched buyers in this run. (Not a tidal wave, but definitely not nothing.)
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Bottom Line
This feature test uses the MLS price analysis tool to show which changes increase matched buyers in saved MLS searches and which ones don’t budge the count.
Moving from tri-level to one-level increased matches from 168 to 204, changing primary-on-second to primary on main raised it to 198, adding an inground pool raised it to 190, and adding lake raised it to 185. Meanwhile, several popular features (like solar, hot tubs, sprinkler systems, tankless water heaters, and multiple interior upgrades) didn’t change the match count in this dataset.
In other words: some features bring more eyeballs, and some features bring… polite nods.
Ien Araneta
Journal & Podcast Editor | Selling Greenville




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