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How Value for Money Catches What Zillow's Zestimate Misses
Zestimates are averages—they don't know your priorities. The value for money factor in Custom RAAM evaluates a property's price against what you're actually getting.
The Zestimate is Zillow's automated estimate of a home's market value. It's useful as a quick reference. It's also often 5–15% off in active markets, frequently stale, and completely agnostic about whether the property represents value for you.
What a Zestimate does: Estimates a property's probable market value based on recent comparable sales, property characteristics, and machine learning models trained on sale data.
What it doesn't do: Tell you whether you're getting good value relative to what you care about. A house that's priced at Zestimate may be priced fairly—but if the school district is weak and you have children, or if the commute is brutal and you work in-office, you're paying market price for a property that scores poorly on your priorities. "Fairly priced" and "good value for you" aren't the same thing.
How the RAAM value factor works. The value for money factor compares the property's price to comparable properties in the area, accounting for its specific characteristics. It also interacts with the rest of your score—a property that's correctly priced for a neighborhood is stronger value if the neighborhood factors (schools, commute, community) are strong for your weight set.
A concrete example: Two homes in adjacent neighborhoods, both priced at $425,000. Both at Zestimate. Neighborhood A has a strong school district; Neighborhood B has a weaker one. For a buyer who weights schools at 30%, the home in Neighborhood A is better value—you're getting more of what you're paying for. The Zestimate treats them as equivalent; the RAAM value score, contextualized by your weights, doesn't.
Where automated estimates break down: - Rapidly changing markets where recent sales don't reflect current demand - Unique properties with few comparables (unusual lot size, architectural style, renovation level) - New listings in the first days before the market has spoken - Properties with significant deferred maintenance that the algorithm misses
The right way to use both. Use Zestimate as a sanity check—is the asking price wildly out of line with what the algorithm expects? Use the RAAM value score to assess fit—is this property good value for the priorities you've stated? Then use your agent's local knowledge to fill in what neither algorithm can see.
Data is only as useful as the question it's answering. The Zestimate answers "what is this worth to the average buyer?" The RAAM value factor answers "what is this worth to you?"
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