Exclusive Short Term Rental Leads
The Property
Earns Nightly.
The Income
Qualifies.
The income doc is a calendar of booked nights.
I generate 100% exclusive short term rental leads from a first-party audience of 228,000 verified real estate investors. Airbnb and VRBO operators, underwritten on what the property earns per night. Delivered under your brand, against your box.
Closing $1M+/mo at 2.0+ bps? Keep reading.
Qualification Video
Read the transcript
If you're not already closing a million a month in funded volume, stop watching. This isn't for you yet. If you're closing volume but spending money on recycled leads from Bankrate, LendingTree, BiggerPockets, CIX, Relip, or any of the other providers that resells the same lead to six other lenders, keep watching. Because what I'm about to show you is why these programs will never produce what you're actually looking for.
Quietly behind the scenes, I've spent nine years building demand gen systems exclusively for non-QM, hard, and private lenders, not as an experiment. Quite literally, as the only thing that I do. The results across my client base right now, today: average ad spend per client, eight point five thousand dollars a month, average closed loan value, five hundred and sixty nine thousand. Average funded units per loan officer per month, seven. Average closed loan volume, just shy of four million dollars a month. They earn about 14x return for every dollar in the machine.
Those numbers are very real, and they come from one thing: a first-party data system built around two hundred and twenty eight thousand verified real estate investors. Not a scraped list, not a shared database, not some skip trace data set from Black Knight or 4Casa. Investors with known credit, known liquidity, a property selected, and a history of closed transactions. That's your audience. Every campaign runs under your brand in your market, tightly coupled against your product box.
And here's the part most lead gen people won't tell you upfront. We use something called first click deterrence. Your lending criteria goes directly in the ad as a deterrent. Rate, LTV, credit minimums, and loan amount min max. Unqualified borrowers read it and they keep scrolling or self select out. The right borrowers click. That's the self-select filtering method we rely heavily on within the audience. And that's why eighty six percent of our leads come in at six sixty credit or higher, and that's why fifty one percent are fifty thousand or more liquid with three months plus of reserves. It's why our cost per funded deal runs around twelve hundred dollars when most teams don't even track that number.
And now here's who this doesn't work for. If you don't have underwriting infrastructure, if you can't follow up with borrowers, if you can't deploy eight to fifteen thousand a month in ad spend, or if your comp structure is below two basis points, I simply cannot and won't take you on as a client. Not because I'm exclusive for the sake of it, but because the math quite literally doesn't work and I don't build programs that fail.
If you're already closing one million to three million dollars a month and you truly want a predictable pipeline you own, there's no retainer, no monthly fee, one hundred percent done for you. Click below and book a call. I'll show you the actual lead data, introduce you to real clients, and determine whether or not this makes sense for you. Every month you spend on recycled leads is a month you're funding someone else's revenue arbitrage. Book a call.
Short Term Rental Lead Data
5,185 Leads.
Measured, Not Claimed.
Book-wide investor lending data · 5,185 leads · 13 client accounts · April 2025 to July 2026 · STR-attributed sample building now
Pulled from the same production database my clients read every day.
660+ credit. The 660 line sits in the ad. The filter runs before the form ever loads.
Investment property. Operators, not occupants. STR files start the same way.
$250K or larger. Average request $650K.
$50K+ liquid. Reserves exist before the first phone call.
$31 lifetime blended CPL measured on STR campaigns across client accounts.
Cost per funded deal. Portfolio-wide, all products. Most teams never track it.
Credit, occupancy, loan size, liquidity, and the intent mix are book-wide figures: 5,185 leads across 13 client accounts, April 2025 to July 2026. Per-field denominators. Each figure is computed over the leads that answered that question. The $31 CPL is STR campaign-level: lifetime ad spend over lifetime STR leads across client accounts. The $1,200 cost per funded deal is portfolio-wide, all products. The STR-attributed sample is building now. Data as of July 28, 2026.
Want this run against your own STR box?
Hard Qualification
This Doesn't
Work For
Everyone.
About 1 in 20 qualification calls booked turns into a client. The other 19 are either not a fit or I don't take them on.
More leads into a broken system produce bigger losses faster. I've seen exactly how this fails and I don't build programs that fail.
If I can't create value for you, I'll tell you on the call.
Find Out If You Qualify
Book
The Call.
I'll pull the live data on the call. Lead-level, not a slide. If your box qualifies on AirDNA or a year of Airbnb history, we'll both know in 15 minutes.
Every month you spend on recycled leads is a month you're funding someone else's arbitrage.