Exclusive 1099 Self-Employed Leads

60 Million
Earn 1099.
Returns Show
Deductions.

The return shows the deductions. The 1099 shows the income.

The Lead Profile Screened in the ad
Credit660+
Documentation12 Or 24 Mo 1099 Statements
LTV Primary90%
LTV Investment80%
Loan SizeUp To $2M
DTI50% Max
First click deterrence. This box runs inside the ad creative. W-2 borrowers and thin files read it and keep scrolling. You never pay for that click.

I generate 100% exclusive 1099 leads from a first-party audience of self-employed borrowers. Income verified. Opted in. Owned. High earners on paper that looks low. Every lead delivered under your brand, in your markets, against your box.

Closing $1M+/mo at 2.0+ bps? Keep reading.

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.

5,185 Leads.
Measured, Not Claimed.

Book-wide investor lending data · 5,185 leads · 13 client accounts · April 2025 to July 2026 · 1099 campaigns live now, product sample building
1 Credit 660 Or Higher 82.0%

660+ credit. The deterrence line in the ad does the filtering before the form.

2 Occupancy 94.4%

Investment property. Non-owner intent across the book.

3 Loan Amount $250K+ 58.5%

$250K or larger. Average request $650K.

4 Liquidity $50K+ 46.0%

$50K+ liquid. Reserves exist before the first phone call.

5 Cost Per Funded Deal · Portfolio-Wide $1,200

Portfolio-wide figure, all products. Most teams never track it.

6 Return On Ad Spend · Portfolio-Wide 14x

Portfolio-wide ROAS. Every dollar in, measured across the book.

7a
49.4%
Purchase
7b
26.5%
Cash-Out
7c
24.1%
Refinance

These are book-wide figures across all client accounts and products, not a 1099-specific sample. Per-field denominators. Each figure is computed over the leads that answered that question. Cost per funded deal and ROAS are portfolio-wide. Data as of July 28, 2026.

Want this run against your own 1099 box?

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.

Not closing $1M+/month in funded volume yet
Comp structure under 2.0 bps
Can't deploy $8,000-$15,000/month in ad spend
No underwriting infrastructure or follow-up process
Last-ditch effort to rescue a struggling pipeline

Book
The Call.

I'll pull the live book data on the call, lead-level, not a slide. If your program qualifies self-employed borrowers off 1099 statements instead of returns, we'll both know in 15 minutes whether the box fits.

15 min Google Meet Direct with Ryan

Every month you spend on recycled leads is a month you're funding someone else's arbitrage.