Skip TracingUpdated 2026-07-17

What Is Skip Tracing in Real Estate? A 2026 Guide

What skip tracing is, why property lists go cold, how modern data matching works, and what a good trace actually returns.

Skip tracing is the process of finding current contact information for a person starting from whatever partial information you already have. The term comes from debt collection — locating someone who "skipped town" — but in real estate it means something much simpler: you have a property address and an owner name from public records, and you need a phone number or email so you can actually start a conversation.

If you do any kind of direct-to-seller marketing — cold calling, SMS, direct mail follow-up — skip tracing is the step that turns a list of addresses into a list of people you can reach.

Why property lists go cold

County records tell you who owns a property. They almost never tell you how to reach that person, because:

  • Owners move. Absentee owners — often your best prospects — by definition don't live at the property address. The mailing address on file may be years out of date.
  • Ownership hides behind entities. A meaningful share of investment property is held in LLCs and trusts. "Sunrise Holdings LLC" doesn't answer a phone.
  • Phone numbers churn. People change carriers, drop landlines, and abandon numbers constantly. A list traced a year ago is already decaying.

This is why buying a "list with phone numbers" is rarely enough. The addresses are stable; the contact data is perishable and needs to be refreshed close to when you actually run the campaign.

How modern skip tracing works

Modern skip tracing is data matching at scale rather than detective work. Providers maintain large identity graphs built from public records, credit-header-style data, telecom records, and consumer databases. When you submit a name and address, the system tries to resolve that input to a single person in the graph, then appends the phones, emails, and mailing address linked to that identity.

The quality of the result depends on two things: how good the underlying data is, and how good your input is. A full first name, last name, and property address will match far more reliably than a last name alone. If your source list includes a mailing address, include it — it helps disambiguate common names.

What a good trace returns

For each matched owner you should expect:

  • Multiple phone numbers, typically split into mobile and landline, with a primary number identified.
  • Email addresses — often two or three per person.
  • A current mailing address, useful for direct mail even when phones fail.

Optional add-ons can layer on compliance and quality data: Do-Not-Call and TCPA flags, phone verification (tested, reachable, last-reported date), email deliverability testing, deceased status, and even relatives' contact information for probate leads.

Accuracy: match rate is not contact rate

Acquired Data advertises a 98% match rate, meaning nearly every well-formed row comes back with contact data attached. But be clear-eyed about what that means: a match is the data provider's best identity resolution, not a guarantee the first number rings through to the owner. Real-world contact rates are always lower than match rates — numbers go stale, people screen calls, and some matches are a former resident or a relative. That's normal across the entire industry. The practical response is to work multiple numbers per record, use phone verification to prioritize reachable lines, and keep your lists fresh.

Who uses skip tracing

  • Wholesalers tracing motivated-seller lists (absentee, high equity, preforeclosure) before cold-call and SMS campaigns.
  • Flippers and land investors going direct to owners in target areas instead of competing on the MLS.
  • Agents prospecting expireds, FSBOs, and likely sellers in their farm.

What it costs

On Acquired Data, a bulk skip trace costs 1 credit per row, and credits run from $0.019 each on a 10,000-credit pack down to $0.010 at 100,000 or more — so a base trace is roughly one to two cents per property. A single one-off lookup is 2 credits. Compare that to what one closed deal is worth, and the economics are lopsided: the expensive part of direct-to-seller marketing is the outreach labor, not the data. It's usually worth tracing an entire well-filtered list rather than rationing.

Next steps

If you're new to the platform, start with the getting started guide, then walk through running your first bulk skip trace — a CSV export from Propwire or PropStream works as-is, no reformatting required.