Batchdata featured on the cover of REI-INK. See why our data can predict property sales with 82% accuracy
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Batchdata featured on the cover of REI-INK. See why our data can predict property sales with 82% accuracy
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Batchdata
Legacy data is dead. See why REI INK featured BatchData as the cover story for their Data & Analytics issue. We aren’t just providing lists, we’re predicting the future.
We don’t hide behind fluff. Our numbers speak for themselves, verified by industry
analysis.
Our BatchRank Al correctly predicted which properties would sell in Q3 2025 testing.
Complete coverage of the US housing market, updated daily for freshness.
From deeper tax records to homeowner demographics, we have the deepest well in the Industry.
When Ivo Draginov, president of BatchData, started his company in 2018 along with co-founders Anny Draginova, COO, and Jesse Burrell, CEO, the three brought a wealth of real estate investing and construction management experience to the table. For Draginov, that experience led him to place a high value on what he calls “practical, intuitive solutions” for BatchData customers seeking insights in challenging and changing markets.
“My work primarily focuses on bridging the gap between our powerful data engine and the real-world needs of our clients,” Draginov explained. “I wanted to make sure every feature we built would solve critical problems and make our clients more successful.”
Thanks to more than a decade’s experience in fix-and-flip investing starting in the early 2000s, Draginov understood all too well how important accessing the right volume of the right properties is to the success of a real estate investing business. Throughout the crash and the early years of the market recovery, he said, he was flipping between three and five properties a year in his own business, working with his parents to transact an additional 20-odd deals each year, and working in construction management on plumbing, air conditioning, and new builds.
When Draginov moved into full-time real estate investing around 2015, he needed more deals in order to keep his real estate business afloat.
“I ran into a problem because, at that point, the market had shifted, and deals were getting a bit harder to find,” he said. “From that, I gained an understanding of the pain points an investor feels when sourcing deals, finding deals, and buying lists to target properties both on an off market.”
When he teamed up with Burrell and Anny Draginova in 2018 to form BatchData, the team resolved to build products designed specifically to help investors use data to make informed, educated decisions about acquisitions and strategies and to provide access to data that did not require investors to “piece together lists” or manually “pull” data.
“You have so many different levels of sophistication when you are working with real estate investors,” BatchData chief revenue officer Matt Shephard observed. “There is often a technology gap between newer investors or those who invest as a ‘side hustle’ and those who invest to make a full-time living. To us, that technology gap is an opportunity to teach people the power of data and why it is so important to invest in data.” He continued, “The better the data, the more money you know you will be able to extract from that information and insight. I will happily stand on data being one of the most important things in a company’s tech stack.”
Part of being a practical solution for real estate investors involves making data extremely accessible, Shephard said, which is why BatchData starts every new client and potential client with the ability to create a free account and start testing out their concept.
“The idea that access to this data can start at your own pace often gets raised eyebrows in this space,” he noted. “Prior to BatchData, most data companies required a substantial, upfront investment and a contract for a duration longer than a year. At BatchData, we have the ability to start people off at a lower initial investment so they can make sure the data is going to work for their company before they scale up. This was something that was missing in the industry until recently.”
Draginov continued, “We want to make things easy for our clients, whether they are technical or nontechnical, and we prioritize getting clients data cheaply and effectively.” He noted “legacy providers of data,” those data providers utilizing outdated systems for storage and analysis, can impede business growth simply because their data is difficult to access. Older data platforms may provide incomplete information simply because analytics programs cannot easily evaluate all the data they contain, making the entire process of data procurement and analysis substantially more time-consuming and expensive.
“If you want to build an application to use in your business, BatchData can almost always help a client make that happen for a relatively low monthly fee because our systems are so much more user-friendly and easier to access and use,” Draginov said. “This enables us to democratize the old ways of how data is acquired so that you can sign up and build a product, extract data, or perform some combination of these things in a very economically feasible way.”
BatchData is constantly developing new programs and applications for investors to use when evaluating its data. One such program, called BatchRank, uses an AI machine-learning algorithm to predict the likelihood that a property will sell. “When we evaluated this program from August 1, 2025, to early October, we found that 82% of the time, we were correct in our predictions that a property would sell,” Draginov said. “That is a massive data point that, in the past, would not have been possible simply because it could not have happened when investors were compelled to buy multiple, incomplete lists from multiple data companies and try to piece them together. Now, instead of targeting thousands and thousands of properties that meet a single criterion, like vacancy or an out-of-state owner, you can target the top 50 most-likely-to-sell properties in an area and double down on your communications with the individuals who own those properties. Our goal for BatchRank is more deals and less marketing spend.”
When Draginov was working full-time as a real estate investor, his life was inherently complicated. Not only was he managing his own real estate deals; he was also working with his parents to build their real estate portfolio and handling construction and development projects as well. He needed every tool available to keep things organized and as simple as possible while optimizing returns in a challenging market environment. His co-founders, Draginova and Burrell, experienced similar challenges in real estate, and the team has a longstanding passion for meeting what Draginov calls “the strategic necessity of good data” that today’s real estate investors face.
“Data is part of our DNA. We know the frustrations and challenges investors face and what it takes to run a business and get the deals you need to make that business successful,” Draginov said. He recalled, “When I got started, we were using 24 different platforms to make the business function, from a CRM to an email marketing system to systems to make other systems work together. Everything had to be patched together, and that was before you even factored in how we got data, which was by accessing and acquiring different sets of data that did not always have clear integrity. These lists were often incomplete or covered different but important things, like permit data and homeowner data. They had to be patched together, too, and you did not necessarily know how recent the information you were using really was.”
Today, that experience drives BatchData’s dedication to creating simple tools to achieve comprehensive goals. “Technology should simplify, not complicate,” Draginov said. “Today, we provide data to a lot of very sophisticated investors using complicated strategies, and they could not be successful if they were getting stale or fragmented data.” He continued, “Data freshness means daily updates and real-time checks for content accuracy. It is what separates productive deal-making from wasted effort.”
Shephard agreed. “You do not need five or six different data vendors to power your go-to-market stack anymore. We prioritize the ability to help clients do it all in one place, and we work hard to provide flexible data packages for different companies of all sizes.” He also emphasized how important customer service is at BatchData. “To me, our data quality speaks for itself, but our team and our customer service are what takes BatchData to the next level,” Shephard said. “We always want to hear, ‘Your team is the first one to get back to me when I need help.’ That is really important here.”
Draginov recalled a time when customer service and data innovation enabled BatchData to convert a major competitor to a long-term ally and customer. “It was a truly defining moment for our organization,” he said. In July of this year, PropStream, a leading real estate data and analytics platform, acquired BatchLeads and BatchDialer, a suite of products (under the BatchData umbrella) designed to leverage artificial intelligence to optimize investor outreach strategies and communication with property owners.
At the time of acquisition, PropStream president Brian Tepfer described the acquisition as being “about providing the best tools and experience to our customers.” Meanwhile, BatchData celebrated what Draginov called “a massive validation of the impact we have had on our customers.”
“We build these platforms from the ground up to solve the real-world frustrations investors face every day,” Draginov said. “That acquisition proved we had created best-in-class solutions that thousands more users would be able to rely on to grow businesses and make a living. It was the culmination of years of relentless work and dedication to see one of our main competitors in the space become, essentially, one of our biggest customers overnight and begin leveraging our BatchData infrastructure to fuel their different products.”
Although BatchData was initially created by real estate investors for use by real estate investors, other industries are taking note of the advantages that may be gleaned through use of top-quality data. Shephard described several ways in which clients use BatchData’s data, services, and highly customizable platforms to improve their businesses and bottom lines.
“One natural extension of our platform is to help sales and marketing teams have more productive conversations with homeowners,” Shephard said. He explained that not only real estate investors benefit from having access to real-time, accurate information about property ownership. “We work with a number of home-services providers, solar installers, roofers, banks, and even insurance with their outbound efforts,” he explained. “Our data enables customers to use property data to find the right properties they want to target; then our homeowner contact information enables them to reach the property owners effectively in the form of communication they prefer.”
Shephard described working with a top-tier, national landscaping company seeking ways to reach new homeowners. The new-owner population is notoriously difficult to contact because they often have not yet established their new place of residence. Conventional methods of communication, such as emails, text, and direct mail, may fail to reflect that a homeowner has recently moved or is in the process of moving. “This client wanted to reach people who were in the process of moving so that [the client] would be the first to talk to the homeowner about providing service to their new home,” Shephard said, adding, “We have that data, and that allowed their marketing team to call, text, email, or socially target homeowners about providing home service solutions.”
Because BatchData also offers assistance with call compliance, the landscaping company was able to conduct its new marketing campaign without concerns about violating do-not-call (DNC) lists or other litigation lists, Shephard said. “Our data already comes enriched with DNC and litigation tags, so the client was able to be compliant in their outreach. We were more than a data company providing them with addresses to homes; we were a holistic, go-to-market solution to get them in touch with the right homeowners at the right time.”
Shephard concluded, “We are not just a company that helps fuel product and data teams. We can also help organizations market more strategically in their respective industries.”
Draginov noted the company is taking that whole-market approach even farther with a new service launching in the next six months called an MCP (model context protocol) server.
“This will enable anyone who can use a computer to input queries as if they were using Chat GPT, Gemini, or any other model, and receive information in a clear, accessible format previously only obtainable by technicians and engineers,” Draginov said.
“We believe real-time, predictive insights are soon to become the new standard for staying competitive, and we envision transitioning from simply being a data provider to becoming an intelligence partner that can tell you both a property’s history and predict its future.”
1 Billion // BatchData has more than 1 billion data points available in the BatchData system
155 Million // Number of properties in the BatchData system
221 Million // Number of homeowners in the BatchData system
1.2 Million // Number of agents and brokers in the BatchData system
350 Million // number of phone numbers in the BatchData system
260 Million // number of email addresses in the BatchData System
82% // BatchData can predict with 82% accuracy which properties in a market are most likely to sell
76% // BatchData users report reaching 76% more homeowners than those not using BatchData
Join the investors who are closing 76% more deals using BatchData.
