Feb
2
Back in the saddle after a little break from the blog and I’ll apologize ahead of time for the dry content, but I’ve been sifting through sales data and thought this to be important. You see, all we have for our decision-making is data. Sure, there are photos and open houses and that sort of thing, but at the end of the day it’s the data that drives real estate transactions.
So…what ABOUT the data? Our local MLS system allows us to quickly and easily generate a Comparative Market Analysis (CMA) and send it via email to a potential buyer interested in a purchase or an owner investigating pricing. However, the definition of the data isn’t transparent and therein lies my issue. Using the Koolani building here in Honolulu (which I’m very familiar with), I generated a CMA for the last 6 months of sales. In a nutshell, the summary says:
- Average Days on Market: 93
- Average Listing Price: $855,338
- Average Sale Price: $816,269
- Percentage of Listing to Sale Price: 95%
At first glance, it seems that a “typical” sale will take about three months and the seller will receive about 95% of their list price. But wait…let’s take another look. It’s about the definitions:
- Sale Price is straightforward and the only thing that isn’t a potential variable.
- Listing Price is the most RECENT list price, the one that was in place when the sale was made.
- Days on Market (DOM) is where things get messy. You see, if the listing is allowed to expire and then put immediately back on the market, the DOM resets to zero. If it goes into contract, the days stop counting, even though the listing is still active. If it’s withdrawn and re-listed, it resets to zero. If it’s placed in pending status…well, you get the picture.
So, let’s take another peek at our sales data using the original list price and the original listing date as starting points and the sale date being the end of the DOM counter:
- Average Days on Market: 287
- Average Listing Price: $947,154
- Average Sale Price: $816,269
- Percentage of Listing to Sale Price: 86%
Quite a difference, isn’t it? The reality is that a typical listing is on the market for 9 months and was initially priced 14% above the eventual sale price. Expectations that are set by the standard CMA are sure to be disappointing, don’t you think?
So what to do…? I think that a CMA needs to accompanied by the whole story, including an explanation of what the numbers really mean. In addition, different slices of the data should be manually performed to ensure that the client is getting the most complete data set available.
Because, in the end, the data is all we have.
(A side note…the current Koolani listings show an average DOM of 112 in the CMA…the real number? 294.)



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