Suppose you are looking for ways to gain owner and property data across various real estate markets in the U.S… In that case, Propertyradar is another property and owner data aggregation tool with some prospecting and marketing capacity.
Since there are many of those applications on the market and very often you don’t know how they work, what they do, or how they perform against alternatives, I wrote today’s article to make an in-depth examination of this software.
You will learn…
…what Propertyradar does
…the features it has to offer
…what the mobile app can do for you
…the pricing structure
…what other users have to say about the software
…how it compares to Propstream and RealtyTrac
…and what alternatives and competitors it has
So, let’s dive right into it.
What Does Propertyradar Do?
Propertyradar is in the category of real estate prospecting and contact scraping tools.
Hence the software aggregates property and owner data across various real estate markets in the United States and facilitates different outreach and prospecting methods.
In addition to aggregating property and owner data, Propertyradar also gives its users access to community data, such as demographics, risks, and more relevant to a particular geographic location.
The following section will go deeper into the different features so you will learn how their property and owner data aggregation combined with prospecting options works.
As many similar web applications already do, Propertyradar’s features can be divided into property and owner data aggregation, data enhancement & processing, and prospecting/marketing.
Features in the Property and Owner Data Aggregation Category
Regarding property data, Propertyradar aggregates information about:
- Value and equity
- Legal description
- Property taxes
- Mortgage and loan
- Parcel boundary
- Property tax delinquencies
When it comes to owner data, the software collects and gives you access to the following information:
- Primary residence
- Mailing address
- Social media links
- Other properties owned
- Phone numbers
Features in the Data Enhancement and Processing Category
To improve the quality of the scraped and/or aggregated property and owner data, Propertyradar has various automatic and manual quality measures in place:
- Natural language processing
- Data modeling
- Rules engines
- Full-time research staff (the manual part)
- Machine learning
- Graph-based relationships
- Matching algorithms
I know that was a mouth full of technical stuff, so I will translate this for you in simpler terms.
It basically means that Propertyradar gathers and aggregates property and owner data from several sources, and these sources are tested against each other.
It is a bit of lousy journalism versus good journalism. A good journalist uses several sources to back up a claim in a piece of content (video, text, etc.).
The more trustworthy sources mention the same information about a particular topic, the more the journalist and, finally, the reader or consumer can trust it.
In turn, a bad journalist doesn’t mention any source or mentions just one and pampers the content with manipulative emotional stuff. But the claim made is only backed by this one source or originates from the journalist’s vivid fantasy.
Getting back to Propertyradar, when these tests result in insufficient data, their full-time research team backfills missing data manually.
Sources used for their data gathering consist of county records, county assessors, count GIS, listings, demographic, phone, email, social, and census databases, to name a few.
The next level of data quality control is partially automated and called “data cleansing.”
This measure uses (machine learning) algorithms to recognize patterns and natural language to clean the incoming data.
Again, the full-time research team back-tests and corrects this data. Based on what they find, the algorithms get modified and steadily improved, or entirely new rules are created.
The same data is also tested in their respective context by additional algorithms based on data models, matching, and graph-based.
These context-based algorithms help associate the different records across their respective sources in simple terms. The result of this is that trends and relationships can be discovered.
In other words, the whole data enhancement and processing category are powered by a combination of different machine learning algorithms and manual human-based back-testing and improvements.
You may also wonder how many states Propertyradar covers.
According to their website, they cover the whole of the U.S.
When you visit the link I just included above, you can click on one of the states you are interested in and zoom in even more to find out about the data available such as property tax status, parcel maps, etc.
To get a short snapshot of available data, I checked Propertyradar’s coverage for the state of Texas in particular.
I found that, for example, data about parcel maps and property tax status is mostly not available. The same is true for trustee sale tracking.
The remaining data is mostly available in all counties. Here, you can check out the coverage for Texas.
A Real Estate Use Case
I would like to shortly describe a use case for real estate professionals, and based on the above and the data available to you from Propertyradar, you can:
… find owners by email, company, name, mailing address, and phone
… find properties by address, nearby, RadarID, and APN
… build contact lists
… use the mobile app to find property and owner data on the go (driving for dollars)
… and segment created lists
The video below will also give you a good overview of what you can do as a real estate professional with Propertyradar.
Features in the Prospecting/Marketing Category
The features in the prospecting and marketing category are pretty straightforward.
You can connect Propertyradar with various marketing channels, such as direct mail, online ads, and other services based on the lists you create.
To do that, you just need to click on “Connect.” There, you will have the option to connect to online ads, direct mail, print mailing labels, or export the created list.
As you may already see, the marketing feature isn’t mainly a native feature from Properyradar but third-party software and service integrations.
When it comes to online ads, only Facebook and Google Ads are available. In Facebook Ads (also read my article on that), the generated and connected data is used to create a custom audience.
Regarding Google Ads, the data is used to create a Google Custom Match.
It can be used to advertise via Google Search, YouTube, Google Shopping, and Gmail.
In both cases, the contacts on the generated lists are targeted.
When you connect with direct mail, your created list is sent to a third-party printing and direct mail service.
It opens the provider’s website, and there you can select either pre-designed postcards or use your own design.
If you do direct mailing all on your own, you may want to choose the “Mailing Labels” option that generates a PDF for the different contacts you have in your Propertyradar lists.
The mail merge option helps you create a personalized mailing using the Microsoft mail merge capability.
There are a few pre-made templates from Propertyradar that you can use.
If you need additional marketing channels not available in the options, you will need to export the list and go from there.
This would be the case if you, for example, use some sort of chatbot (my article about that here).
You would have to export the list and then import it again to the chatbot software of your choice.
According to the information on Propertyradar’s page about third-party integrations, they are not done natively via direct application programming interfaces between Propertyradar and the providers but via the third-party bridging app Zapier. (source)
So, as you can see, Propertyradar’s native prospecting and marketing capacity is slightly limited but compensated via third-party integrations.
You will find an overview table of all the marketing and prospecting integrations at the end of this section.
In the video below produced by Propertyradar, the marketing feature is also explained and may give you a better visual overview.
Propertyradar App – Driving for Dollars Anyone?
Propertyradar’s mobile app helps you use the already mentioned features on the go.
But since basically all mobile devices have GPS, it offers an additional feature called “GPS optimized driving.”
This lets you check out details on the properties around you while driving (don’t do it while driving) and collaborate with your team.
You can then add photos, take notes and start workflows. So, you can use it to drive for dollars (see my article on that here).
Propertyradar’s monthly pricing starts at $59 for the “Essential” plan with limited features, followed by the “Complete” plan for $99, and ends with an undisclosed “Custom” plan.
The latter usually means higher three or four figures in costs.
As you can see in the overview table below, they charge extra for data exports on the monthly costs.
This is something I didn’t get. Propertyradar could as well have factored a specific usage in and adapted their monthly pricing so it would be included in their pricing plans.
Another slight downer is that no third-party integration is included in the “Essential” plan. This means you can export the owner and property data you save in your lists but won’t be able to market to them from the platform.
|Feature||Essential ($59 per month)||Complete ($99 per month)||Custom (undisclosed)|
|Nationwide property or owner look-up||✔||✔||✔|
|Property search and list building||✔||✔||✔|
|Market analysis, heat maps, GPS (driving for dollars)||✔||✔||✔|
|Property and owner data||Standard||Premium||Premium|
|Alerts & Automations, list monitoring, insights||Standard||Standard||Standard|
|Property export (Excel, CSV format)||$0.05 per 1,000||$0.01 per 10,000||$0.01 per 10,000|
|Owner phone and email export||$0.15 per 25||$0.08 per 250||n.a.|
|Third party integration with more than 4000 apps (via 1 Zap from Zapier)||❌||✔||✔|
|Tools for due diligence||✔||✔||✔|
|Photo, note, file, status storage||✔||✔||✔|
Propertyradar Reviews (Positives and Negatives)
Regarding user reviews, sources are a bit limited and partially outdated. So I couldn’t check on several of them as I usually prefer to do to make a cross-check.
|Positive User Reviews||Negative User Reviews|
|"The most helpful part of property radar is the low cost to be able to export lists and make cold calls. Great way to still keep working when marketing doesn't fit the budget."||"One downside is you cannot select a certain field to display on parcels. You have to click on each parcel to see the owner or address."|
|"Phone number access is great. I also like how you thorough you can go on search criteria."||"Limited downloads for information already available like mailing addresses."|
|"I love the maps and the overlays that give me a sense of the community. I can overlay foreclosures, underwater properties, owned outright and several others."||"I don’t like the levels of pricing they offer. I had to end up upgrading to the higher level in order to pull deeds that are needed to prepare new deeds. This should simply be offered as a flare price on the first price option."|
|"I have used Propery Radar for years and use it to cross reference our probate leads. Great platform to find cash buyers( 3rd party is the brown tab) at auctions, short sale listings came from there, NOD's, and we have started targeting NOD's for our Subject 2 transactions."||"I can pull a list of underwater properties for instance, but I can't easily pull mailing addresses for those properties so what good does it do me. Yes I could go through property by property and try to make contact, but to be ultimately useful I'd like to pull a list."|
|"I think you can create very tight list criteria and download to Excel as needed for offline manipulation. "|
Propertyradar vs. Propstream
There is a lot of similarity between Propertyradar and Propstream (already analyzed in this article) regarding the features.
But the main difference between both software providers is that Propstream has a better pricing structure via a building block system.
Moreover, downloads or exports are better included in the monthly pricing, and it offers slightly more native marketing and lead generation features (e.g., website landing pages, voice mail campaigns, etc.).
Finally, in contrast to Propertyradar, it also provides a rehab calculator.
You can find out more about Propstream here.
Propertyradar vs. RealtyTrac
While foreclosure properties are one of many different filters that Propertyradar offers for Realtytrac, this is the main focus.
It provides you with:
- Daily updates on foreclosure auctions
- Ways to find off-market deals on bank owned homes and pre-foreclosures
- Different search filters
- Up to 500 property downloads per month
- Foreclosure status updates
- A deal analyzer to calculate the return on investment of potential properties
In contrast to Propertyradar, different pricing plans are undisclosed on their website.
I couldn’t identify more than the different foreclosure property data aggregation features. So, there are no marketing or prospecting features or integrations I would be aware of.
This alternative may be interesting only to real estate pros that solely focus on foreclosures or pre-foreclosures and don’t need third-party app integrations for marketing and prospecting purposes.
You can learn more about RealtyTrac here.
Propertyradar Alternatives & Competitors
All software providers in real estate prospecting and contact scraping or property and owner data aggregation are potential alternatives and competitors for Propertyradar.
Such is the case for the two already mentioned providers, Propstream and RealtyTrac.
To find alternatives, I have already created an extensive list of 400+ real estate marketing tools and services I mentioned across all my articles here.
This list is updated and expanded regularly, and based on it and some additional research, these alternatives and competitors are worth mentioning:
This article has been reviewed by our editorial team. It has been approved for publication in accordance with our editorial policy.