How to Skip Trace LLCs and Trusts to Reach the Real Owner

Pull any decent motivated-seller list and you'll notice a chunk of the owner names aren't names at all: "Sunrise Holdings LLC," "The Miller Family Trust," "123 Oak Street Land Trust." Depending on your market and filters, entity-owned records commonly make up 10–20% of a list — and most investors either delete those rows or let them fail silently in a trace. Both are mistakes.

Why entity rows are often your best leads

Think about who holds property in an LLC or trust: landlords, portfolio owners, flippers, and estates. These are, almost by definition, absentee owners. They think about the property as an asset, not a home, which means they can act on a numbers-based offer quickly — no emotional attachment, no need to find somewhere to live first. Tired landlords and trustees winding down an estate are consistently among the most motivated sellers you'll find. Skipping the entity rows means skipping a disproportionate share of your dealflow.

Why a regular skip trace fails on them

Standard skip tracing is person matching: it takes a first name, last name, and address and resolves them against an identity graph of individuals. "Sunrise Holdings LLC" isn't in that graph — it's a legal entity with no cell phone, no email, and no consumer records. Feed it into a person-matching pipeline and you get nothing back, or worse, a junk match on someone who once shared the address.

How entity resolution works

Tracing an entity is a two-step problem, and the extra step is what you're paying for:

1. Entity to people. The system works through business filings, registered-agent records, corporate officer listings, and related public documentation to identify the humans behind the entity — the member, manager, trustee, or principal who actually makes decisions.
2. People to contact info. Once there's a real person's name, the normal identity-graph match runs: phones, emails, and a mailing address for that individual.

The output looks like any other trace result — owner name, up to multiple phone numbers, emails, mailing address — except the "owner" is now the decision-maker behind the entity rather than the entity itself. One caveat to set expectations honestly: some entities are structured specifically to obscure ownership (layered holding companies, out-of-state registered agents), and those resolve less reliably than a straightforward single-member LLC.

The math: 6 credits vs. losing the lead

On Acquired Data, LLC & Trust tracing is 6 credits per entity row — that's the total price for those rows, compared to 1 credit for a standard bulk row. At pack pricing that works out to roughly six to twelve cents per entity record. It's the most expensive trace on the menu, and it's still trivially cheap next to the alternative, which is discarding 10–20% of a list you already paid to build and market to. If entity rows are over-represented among motivated sellers — and in practice they are — they're the last rows you should be cutting to save pennies.

Pricing is also fair by construction: the 6-credit rate applies only to the rows identified as entities. The rest of your list bills at the normal 1-credit rate.

How to run it

Two ways, depending on how you work:

• Dashboard: upload your CSV as usual and toggle on the LLC & Trust Tracing add-on before submitting. Unlike other add-ons, this one changes which rows are eligible — entity rows that would otherwise be filtered out get included and traced.
• API: include "llc_trust" in the add_ons array when you create a bulk job. For a single synchronous lookup, put the entity name in the last_name field — pricing adjusts automatically.

A practical workflow tip: don't split your list. Upload everything, enable the add-on, and let the platform route individual rows through standard matching and entity rows through resolution. You get one merged output file with the same columns either way.

Next steps

See the skip-tracing add-ons guidefor how LLC & Trust tracing combines with compliance add-ons, or the API skip-tracing guide if you want to automate entity traces in your own pipeline.