BatchData

Thank you to REI INK for the cover story. This issue's focus was data. Ivo Draginov and I got to speak on the state of the current real estate intelligence space and where we believe we fit into that ecosystem. 👉 Read the full cover story here: https://lnkd.in/gJEHVXxz (profile starts page 26) 👉 Get your free BatchData account: https://batchdata.io

🚨 COVER STORY ALERT! 🚨 BatchData just landed the front page of REI INK’s November 2025 Data & Analytics issue! “Bridging the Gap Between Data & The Real World” From a bootstrapped startup in 2018 to the property intelligence platform that predicts, with 82% accuracy, which homes are most likely to sell. We built #BatchData because we were investors tired of bad data. We didn't just build a database; we built an intelligence engine. → The Reality: High-quality data is the only competitive advantage that matters right now. →The Proof: Our BatchRank AI predicts which properties will sell with 82% accuracy. →The Result: You stop marketing to "owners" and start closing deals. We’re honored to be the cover story for REI INK’s Data & Analytics issue, breaking down exactly how we went from a fix-and-flip operation to powering the industry's smartest investors, proptech and home service companies. Huge thanks to the entire REI INK team for the incredible feature! 👉 Read the full cover story here: https://lnkd.in/gJEHVXxz (profile starts page 26) 👉 Get your free BatchData account: https://batchdata.io Data isn’t the future—it’s the advantage! #RealEstateInvesting #PropTech #BatchData #REIInk #CoverStory #OffMarketDeals

Every company claims they have “the best property data.” Kind of like how every restaurant says they have the “world’s best burger.” The problem? You notice when the burger is average. Same thing with data. If it’s missing, outdated, or flat-out wrong—you feel it (and so do your customers). That’s why companies switch to BatchData. We deliver the most accurate property data you can actually trust. Here’s what our customers love after making the switch: ✅ Homeowner + property info all in one place ✅ Multi-sourced fill rates (because one source is never enough) ✅ Phone number enrichment that connects you to real people ✅ Robust API endpoints that let you build faster ✅ AI & LLM algorithms powering smarter insights If “good enough” data is slowing you down, it’s time to level up. Talk to a data expert today: https://lnkd.in/gXVTxNKg

At BatchData, we believe the future of real estate will be built on a foundation of high-quality, accessible data. That’s why we are thrilled to announce that we are the official data sponsor for the AI & Property Insights Hackathon! We're calling on all developers, data scientists, and engineers who are passionate about solving real-world problems. This is your chance to get exclusive access to our comprehensive property data and build the next generation of PropTech solutions. Unleash your creativity and show us what’s possible when cutting-edge AI meets industry-leading data. You'll present your project to a panel of experts, including our own Charles Parra and judges from BiggerPockets, with a chance to win: 🏆 Winner receives a $1,000 cash prize 🏆 and FREE 6 month subscription to BatchData 📊 (worth $20K+) Timeline: Build Week: October 14th - 20th Final Presentations: October 21st If you’re ready to build, innovate, and make a tangible impact, this is your event. 👉 Accept the challenge and sign up today: https://lnkd.in/g-gQrHSb ℹ️ Full Hackathon Details: https://lnkd.in/gaw8ARBh

Wall Street buying up America? Our enhanced Q2 methodology obliterates this narrative with unprecedented precision. After refining our entity detection and deduplication processes, the real ownership picture emerges: THE OWNERSHIP BREAKDOWN (17 million investor-owned homes): 1-5 properties: 87% (14.5 million homes) 6-10 properties: 3.9% (653,000 homes) 11-50 properties: 4.5% (753,000 homes) 51-100 properties: 1.0% (168,000 homes) 100-1,000 properties: 1.6% (270,000 homes) 1,000+ properties: 2% (345,000 homes) Let that sink in. Mega-investors own fewer homes than landlords with 6-10 properties. But here's the kicker: Those mega-investors? They've been NET SELLERS for six consecutive quarters. In Q2 alone, they sold 5,800 homes while buying just 4,069. They're not expanding—they're retreating. Why? Our conversations with institutional players reveal a strategic pivot. They're moving capital from existing home purchases to build-to-rent developments. Translation: They'd rather build new supply than compete for existing inventory. Meanwhile, small landlords—your local nurse with a rental property, the immigrant family building generational wealth, the retiree supplementing social security—they're the ones maintaining America's rental housing stock. Congressional proposals to limit institutional buying might feel good politically, but they're solving a problem that barely exists while ignoring the 95% of investor-owners who are decidedly NOT Wall Street. The irony? Anti-investor policies meant to help families could actually hurt them by reducing rental supply just when homeownership is least affordable in 40 years. Nearly 60% of Americans can't afford a $300,000 home at current rates. Where exactly should they live? Download our Q2 report for the complete ownership analysis: https://lnkd.in/g2yvWuAf Good policy requires good data. We finally have it! #HousingPolicy #InstitutionalInvestors #DataDriven #PolicyAnalysis #RealEstate #BatchData #HomeOwnership

After our Q1 Investor Pulse went viral with 540K+ views on X, we went back to the drawing board. Not to rest on success, but to ask: How can we make this data even more accurate? The result: A complete methodology overhaul that uncovered 11% more transactions hiding in plain sight. What changed in Q2: We stopped relying on 'arms-length' transaction flags that miss legitimate deals. Instead, we analyzed actual document types—gift deeds, intra-family transfers, quitclaims, etc to filter out non-market transactions. This alone revealed 2.3 million additional valid transactions. We’ve improved the duplication problem. Previously, under certain situations, a company with 10 offices might have appeared as 10 different entities. Now? One company, properly tracked. Individual investors are uniquely identified by name + mailing address. Companies by standardized names with parent-child relationships mapped. The impact: We discovered 116,000 'orphan' properties: investor holdings with no recorded purchase because they predate digital records or came through inheritance. These were partially invisible in Q1. Now they're fully accounted for. We also applied sophisticated regex patterns retroactively to ALL historical ownership records, not just current ones. This revealed thousands of entities operating under varied names—DBAs, subsidiaries, family trusts—that were previously scattered across our data as unrelated actors. The bottom line: Our Q1 report showed 3.4 million corporate investors. The real number? 2 million. Not because investors disappeared, but because we eliminated double and triple counting. The property count remained virtually identical (21M vs 20.7M), validating our core findings while dramatically improving precision. Tomorrow's Q2 report doesn't just update the numbers—it establishes a new standard for housing market intelligence. The truth about America's housing market is more nuanced than anyone realized. And now we can finally see it clearly. Full Q2 2025 Investor Pulse drops tomorrow morning at www.batchdata.io #DataScience #RealEstateData #MarketResearch #Innovation #HousingMarket #BatchData

This Buzzfeed article is sure to strike a chord for most people looking to purchase a home. "He argues that all of these factors have led to "the infestation of institutional investors buying up and banking on asset inflation that is housing, that is shelter, keeping normal everyday people out of having a roof in exchange for billionaires having bigger accounts." Zachary's pain is understandable, and while the big institutional investors can be easy to hate on, there's more to the story. The challenge for first-time homebuyers and the state of housing is more complex, and not the fault of any singular entity. Check out the first link in the comments for a recent video we did discussing the Q1'25 InvestorPulse report. And if you think that report was eye-opening, wait till you see what happens with Q2 report coming out in September.... https://lnkd.in/gGvi-zYE #realestate #economy #housing

Everyone is clamoring for strategy to get mentioned in LLMs. Here's one strategy that's worked out very well. Earlier this year, we (BatchData) made a conscientious decision to cover the single family investing space through our robust dataset. That report has turned into a ton of PR pieces and articles thanks to Rick Sharga, which caused a stir we didn't expect: challenging preconceived bias. Many think Blackrock et. all are stealing houses left and right from hard working Americans, but the truth is more complex than that (and considering institutional investors own ~2% of the investor-owned homes). But that's a sidebar. The PR along with the internet forum debate has pushed us as a primary citation for Grok in X threads. One reddit thread in particular has hundreds of comments. We've seen good traffic gains and more requests for press since then, along with dozens of Grok-driven threads citing our data. Point being - don't overlook you unique voice in the market to tell a story with data, user stories, etc. Where have you seen success in LLMs? #geo #aeo #seo #realestate

Investors own more than half of all the houses in seven California counties. Sierra: 82% of single-family houses are owned by investors, or 1,308 of 1,588 all houses. Trinity: 77% – 4,243 of 5,542 houses. Mono: 74% – 3,200 of 4,305 houses. Alpine: 68% – 575 of 842 houses. Plumas: 64% – 7,422 of 11,651 houses. Modoc: 56% – 1,047 of 1,878 houses. Calaveras: 54% – 10,385 of 19,209 houses. Read the full article below and in the first comment. https://lnkd.in/gHfX8quH #realestate #california #realestateinvesting