January 2024 Platform Updates
Historical Rent Trends & Excel and PDF Exports. Here is a summary of new features for February 2024.
If you’re a tech savvy real estate professional, you know that performing a comparative market analysis (CMA), also referred to as a rent survey for multifamily properties, is required for determining the value of a property. But what if you don’t have the budget to pay for expensive CMA data sources? Fear not! This blog post will explain what a CMA is, how to perform one, and will provide you with some of the best free sources of CMA data.
A comparative market analysis is conducted by real estate agents or appraisers to determine the approximate value of a property based on the prices of similar properties that recently sold in the same area. A CMA usually involves comparing several factors, such as location, size, condition, and amenities. It also takes into account any recent renovations or upgrades that have been made to the property, which helps create an accurate picture of how much a potential buyer may be willing to pay for the home.
For sellers looking to get top dollar for their home, a CMA can be invaluable by providing them with an estimate of what their home is worth in today’s market. This information can help guide decisions regarding pricing and marketing strategies for selling the property. For buyers, CMAs can provide insight into whether they are getting a fair deal on a potential purchase or if they should look elsewhere for better value.
If you're ready to list your home on the market, one of the best things you can do is get a comparative market analysis from your real estate agent or appraiser before setting your price. This will give you an accurate estimate of what your home could potentially sell for and help ensure that you don't underprice or overprice it when listing it on the market. Having this information available during negotiations can also give you more bargaining power when it comes time to make an offer.
Doing a CMA requires some research on your part. You'll need to first find out which properties are comparable to yours in terms of size, age, location, and features. Then, collect data on those properties—including their asking prices and sale prices—and analyze it all together to get an accurate assessment of your own property’s worth. It also helps if you can find out how long those properties have been on the market… this will help you assess whether they may be overpriced or undervalued.
If you want to accurately assess the value of a home, hiring a real estate professional to prepare a CMA report in your area may be your best option. They have access to more data points and are aware of real estate trends. However, you can still perform your own analysis even if you aren’t a realtor by using the publicly available data sources we’ll discuss below and a spreadsheet. Here are the steps to complete a CMA:
By taking into account factors such as size, age, location, and features as well as analyzing recent sales data from other homes in the area, high-quality CMAs allow buyers and sellers alike to make informed decisions about their real estate transactions. But where do you get the data for a CMA? See below for the top 4 recommendations for free CMA data from the team at HelloData.ai:
The Zillow Zestimate tool isn’t just for homeowners looking to get an estimate on their own home value. It can also be used by real estate professionals as a source of CMA data. The tool provides estimated home values based on publicly available information and recent sales data. It also gives users access to historical home values, which can be useful when analyzing potential investment properties.
Realtor.com is another great free resource that provides CMA data to real estate professionals. The website offers comprehensive market reports that include sales trends, median listing prices, median sale prices, and more. It also allows users to search for properties in specific areas and compare them side-by-side in order to get a better understanding of the market value of each property.
The Redfin Estimate tool is another great source for free CMA data. Like the other tools mentioned above, it provides estimated home values based on publicly available information and recent sales data. However, it also has several unique features such as a “Heat Map” that shows how much homes are selling for in various neighborhoods across the country and “Insights” that provide detailed information about local school districts and other amenities within each neighborhood.
HelloData.ai’s Rent Source API can pull real-time prices, availability & property data to your real estate technology products and market studies. With only an address, we will scour listings from several internet listing sites and query the Google Places API to help pull complete information on your subject property and comps, including data on asking rent, property value, year built, unit availability, amenities, building features, and locational amenities near your subject property. What’s more, it can pull data directly into your excel model to help you avoid copying and pasting. Whether you’re creating a CMA or multifamily rent survey, try the free demo of RentSource.ai today and accelerate your CMAs!
Finding quality CMA data doesn’t have to break your budget. With these three free sources of CMA data, you can quickly gain insights into the current real estate market without spending a dime or wasting your time researching manually. Start taking advantage of these free resources today!
The Rent Source API can add real-time rent, availability & property data to your single and multifamily CMAs. With only an address, RentSource.ai will pull data on asking rent, property value, year built, unit availability, amenities, building features, and locational amenities near your subject property from multiple internet listing sites and the Google Places API. RentSource.ai data can also be integrated directly into Excel, saving you valuable time copying and pasting. Learn more about and other HelloData.ai products from the resources below: