Why Zillow Couldn’t Make Algorithmic House Pricing Work

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Zillow's Zestimate of home values has become a go-to reference for US homeowners. But when Zillow tried to use its algorithm to buy and sell homes, it badly misread the market.

. Then suddenly it stopped buying. Wake had one question: “What the hell happened?”

But the forecasts proved inaccurate in 2021’s gyrating housing market. In the second quarter, Barton said, Zillow actually was able to sell homes for 5.8 percent more than it expected. In the third quarter, though, Zillow sold homes for 5 to 7 percent less than it forecast. To make the iBuying program profitable, however, Zillow believed its estimates had to be more precise, within just a few thousand dollars. Throw in the changes brought in by the pandemic, and the iBuying program was losing money. One such factor: In Phoenix and elsewhere, a shortage of contractors made it hard for Zillow to flip its homes as quickly as it hoped.” events like the coronavirus pandemic and its impact on the economy were the sole issue.

 

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Zounds! Should have stuck to zero-g pillows. Or whatever Zillow means

Algos have their limitations.

zillow execs went into the 'flipping' business, and found out that even when prices are going up in the hottest market in history that it's not nearly as easy as hgtv shows make it look. No shame. We've all been there.

zillow must understand whypeople buy homes whytheyleave and whythey stay pricing mechanisms are the expost after running RESULTof these decisions itislike paper indicator is currently, other idicatorsare exante others are expost. pricing here: expost? TheEconomist economics

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