There's no Kelley Blue Book for real estate, but Automated Valuation Models (AVMs) are getting pretty close. This article dives into what makes a home valuation accurate and how HouseCanary's AVMs are changing the game.
The ideal scenario: the valuation matches the selling price. But what if the market has shifted or the house is unique? Accuracy gets tricky. Here at HouseCanary, we believe big data is the answer. We train our algorithms on millions of past transactions and unique property characteristics to predict current fair market value with exceptional precision. This data advantage is a core component of our industry-leading AVM products.
Companies that create AVMs should get them regularly assessed by unbiased third parties. Here's how they measure success:
Even experts make mistakes, and AVMs have their limitations. Sometimes there just aren't enough similar homes that have recently sold nearby. Or maybe the property is one-of-a-kind, like a waterfront mansion in a desert state.
However, technology is constantly improving. HouseCanary uses a massive dataset that includes past buyer and seller behavior, along with unique property details, making our AVM incredibly accurate, and constantly getting better.
Despite their limitations, AVMs offer several benefits:
While complex properties or markets might still require a human expert, AVMs are becoming more and more reliable. As technology advances, the real estate industry will reap the benefits, and HouseCanary is at the forefront of this innovation.
Take your valuations to the next level with HouseCanary's industry-leading AVM products today.
And for more on the topic of real estate AVMs, read about HouseCanary's AVM or our full white paper about AVM accuracy.
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