Zillow Storms the Real Estate Industry
by Bernice Ross, Ph.D. MCC
Owner, Teleclass4U.com, LLC and RealEstateCoach.com
Copyright © 2006
RealEstateCoach.com and Teleclass4U.com
All rights reserved in all media.
A hurricane on the magnitude of Katrina has just hit the real estate
industry. Did you notice?
Since its recent launch, the real estate industry has been buzzing about
a new website called Zillow.com. According to Alexa.com, an Amazon website
that ranks web traffic, Zillow has rocketed to the top 200 websites in
the world. That’s higher than Realtor.com or any other real estate
website.
How did Zillow zoom to the top in real estate web traffic? First, Zillow’s
founders identified what the consumer wants when they visit a real estate
website—access to listings and to comparable sales data. Second,
Zillow’s President was the founder of Expedia. This well-funded team
understands web marketing. Third, the real estate community has been shaking
in its boots—would Zillow be the next frontal assault on the full
service model? Would Zillow lead to more commission compression? These
questions have had brokers and agents alike flocking to the Zillow website
to see how this new business model will influence their business.
If Zillow is successful, Realtors® will have to redefine their value
proposition. Ever since its inception, Multiple Listing Services have provided
important sales documentation that was not available to the general public.
Zillow provides not only comparable sales data, market statistics that
show whether prices in a given area are increasing or decreasing, it also
provides its Zestimate of how much a given property is worth. The market
data is particularly useful information for Realtors® to know because
it can assist them in helping sellers to set accurate list prices. It can
also assist buyers in identifying how much they should pay. Where Zillow
faces major challenges, however, is providing accurate values for its “Zestimates.”
Ultimately, Zillow’s success will rest with how well its algorithms
evaluate comparable sales data and then supply an accurate sales price.
The problem with Zillow’s model is that there are several other companies
who are doing a better job of supplying accurate comparable sales data.
Sadly, virtually no one seems to have noticed.
Over the last six months, several new companies have entered the realm
of providing comparable sales information on the web. The first entry into
this foray was Trulia.com. Trulia’s goal is to become the Google
for the real estate industry by working with brokers directly. This so-called “vertical” search
engine will direct visitors to specific agent sites based upon the user’s
search. In other words, rather than using the general Google search engine
that generates lists of nursing homes when you search “homes for
sale,” Trulia.com will direct its users directly to agent sites that
match the client’s search request. This increases the accuracy of
the search. According to Greg Sterling, an analyst with the Kelsey Group,
this produces a better qualified lead as compared to leads generated by
Google, MSN, or Yahoo. The Trulia search engine provides comparable sales,
links to listings, as well as a mapping feature. As Trulia.com works with
more brokers, their data will become increasingly accurate. Since they
launched in July, their beta search engine contains a fair amount of data
from California and New York, but is still unavailable many places in the
country.
Information on comparable sales is now available to the public through
a company with its roots in providing comparable sale information for the
appraisal industry. The former President of Dataquick, Mike Ela, has launched
HYPERLINK "http://www.homesmartreports.com/" \t "blank" HomeSmartReports.com
that provides accurate appraisal data on a seller’s home for $24.95.
This detailed report not only helps sellers estimate their prices, it also
includes information on the foreclosure rate, appreciation, as well as
the high and low sales for the area. For $6.95, buyers can obtain information
on comparable sales data on any home they are considering purchasing. With
this report they also receive the assessed value of the property, the property
tax amount, a report on foreclosure activity, sales volume, and a host
of other information. The site also provides a mapping feature that plans
the best route to show up to six properties.
For the last six months, I’ve been hearing commercials for a company
called Moveup.com. They provide comparable sales data at NO charge for
your personal property in states where comparable sales data is public
record. (The “non-disclosure states” where this service is
not available include Idaho, Indiana, Iowa, Kansa, Missouri, Montana, New
Mexico, Texas, Utah, and Wyoming.) When you visit their website, they ask
for your name, property address, and email address. Their search engine
cross checks the public records to determine whether your name matches
as being the recorded owner of the property address where you are searching.
If these match, they send you all the comparable sales for your neighborhood.
Unlike Zillow that sent me comparable sales data that did not match the
properties I was searching, the information for Moveup.com was spot on.
EVERY comparable sale was appropriate to the property I was investigating.
Will Zillow really make a difference in our business? Will they still
be in business three years from now? What challenges does this new model
pose? To learn more, see next week’s article, “The Problem
with Zillow.”
The Problem with Zillow
It’s probably safe to assume that the early surge in Zillow’s
traffic resulted from agents and brokers who fear what Zillow may due to
their business. Are Zestimates (Zillow’s estimate of what your property
is worth) something brokers should fear?
The billion dollar question for the real estate industry is whether computers
can do a better job of accurately pricing property than experienced agents
can. Like many other brokers, I decided to put Zillow to the test by evaluating
the properties that I have owned in the past.
When it came to selecting comparable sales on my home in Austin, Zillow
did not select a single comparable sale from within the subdivision where
I live. While the price was off by about 15 percent, the comparables were
so far away that they were useless. Furthermore, every single comparable
sale Zillow selected had square footage that was only 50 percent of the
size of my home.
After testing Zillow for Texas, I decided to see if there were any more
accurate in Southern California. When I priced the properties that I used
to own in Beverly Hills, Bel Air, and Brentwood, the Zillow algorithms
gave them a premium value because the lots were over 2 acres. What Zilllow
didn’t take into account was that each of these properties was not
flat, i.e. the large lot size resulted from the property being on a ridge
with a downslope. It also didn’t differentiate between those properties
with views and those that lacked views.
These examples strike at the heart of trying to use a algorithm (mathematical
formula) to establish value. The computer has no way to tell whether a
house has a view, is on a down slope or flat lot, or is in good or poor
condition. It can’t tell if a property has airplane noise or strange
smells emanating from a landfill. Ultimately, pricing a property is more
of an art form rather than a process that can be reduced to pure mathematics.
I was curious to see if any of the other tools did a better job than
Zillow. I have been tracking values on my house in Los Angeles and was
curious what it would be worth once we expand one bedroom and add another
bath. I used Zillow and Moveup.com to determine which approach would give
me the most accurate value. The Zillow algorithms allow me to program in
a kitchen upgrade, increase the square footage, and add in a new bath.
Zillow’s Zestimate told me that without the addition, the property
was worth $448,000. By adding a single bath and expanding one of the existing
bedrooms, the value jumped to $660,000. A 50 percent price increase seemed
way out of line given the nature of the improvements. I then went to Moveup.com.
Each of the 15 comparable sales was appropriate to the area. Moveup.com
provided the sales date, the square footage, the price per square foot,
bedroom-bath count, lot size, and whether the property had a pool. Even
with this data plus a deep familiarity with the area, I still couldn’t
nail down what the exact price should be.
The challenge was with the comparable sales that were available. Normally,
I would do a price-per-square foot calculation. The rule of thumb is that
you should only use properties that are within 10% of the same size for
both the improvements and the lot size. In California, where the improvements
are worth little and the lot is worth a great deal, you can skew the results
by using properties that have square footage that doesn’t fall into
the appropriate categories. Even with 15 comparable sales, none of them
fell into the ten percent rule that I would normally use. The price per
square foot ranged from $243 per foot on the low side to $626 on the high
side. The high prices per square foot were for very small homes with the
high lot values. (Smaller houses in areas where the land is valuable always
sell for a higher price per square foot—larger houses always sell
for less.) The low price per square foot was for homes that were twice
the square footage of the smaller homes. Since our home would be in the
middle of this range, the best comparable sales put the property value
at $450 to $518 per square foot. On a 1300 square foot property, that’s
the difference between $585,000 and $673,000. In truth, the only way to
resolve where the property should be valued would be to personally visit
the comparable sales or to hire an agent who works the area and knows property
values.
The challenge with relying on computers to establish value is the difference
between stagnant data that exists in a database and knowledge that relies
on human experience and complex thought processes. In the Social Life of
Information, John Seely Brown and Paul Duguid, make exactly this point.
A computer relies on information. When it comes to real estate, this means
the features of the property including bedroom-bath count, lot size, and
floor plan. Even when two properties have identical floor plans, one may
sell for more because of the beautiful landscaping, the privacy, or some
other factor the computer cannot access. The value of these features is
often more intuitive rather than quantitative. As such, computers may estimate
values, but the estimates will continue to be flawed because there is no
scientific way to value these other factors.
While Zillow has made a big splash, accuracy is still the name of the
game when it comes to comparable sales. In those areas where the market
is flattening or declining, over pricing can cost the seller thousands
of dollars. Rather than bemoaning the fact that comparable sales are now
available on the web, agents and brokers must be proactive in helping sellers
to understand that sites such as Zillow and Moveup.com are a starting place
in determining what their properties are worth. They must also be prepared
to educate sellers about the challenges of relying strictly on information
rather than a human being’s wisdom of experience. |