Skip tracing data comes from a blend of public records, credit header files, utility connect data, property and tax records, and licensed proprietary databases that a skip tracing company cross-references against each other — not from one mystery source. The accuracy you get back depends entirely on how many of those sources a provider checks and how well their matching logic resolves conflicting information into one confident record.
If you have ever wondered why two skip tracing services return different phone numbers for the same address, this is why: they are not pulling from identical source lists, and they are not scoring confidence the same way. Here is what is actually happening behind the scenes, and how to judge whether the data you are paying for is any good.
What Sources Actually Feed a Skip Trace
A real skip trace is not a single database lookup. It is a merge of several distinct data types, each of which fills a gap the others leave open.
- Public records — voter registration files, court records, marriage and divorce filings, and property deed and tax assessor records. These establish who owns what and where they have lived.
- Credit header data — the identifying information (name, address history, phone numbers) that sits at the top of a credit file, licensed separately from any actual credit history or score. This is one of the richest sources for current and historical addresses.
- Utility connect and disconnect records — when someone turns electricity or water service on or off at an address, it creates a timestamped signal of where they actually live, which is often more current than a mailing address.
- USPS National Change of Address (NCOA) — official forwarding data filed when someone moves, used to catch people who relocated recently.
- Phone carrier and telco data — used to confirm whether a number is a live mobile line, a landline, or VOIP, and whether it is still assigned to the person in question.
- Proprietary aggregator databases — large data brokers compile and license bulk consumer records that combine many of the sources above, which is what most skip tracing platforms license and then layer their own matching logic on top of.
How These Sources Get Combined Into One Contact Record
Raw data from six different sources is not useful on its own — it is often contradictory. One source might show a person at an address they left two years ago; another might have a phone number that was reassigned to someone else. Turning that into a usable contact record requires identity resolution: matching name, date of birth, address history, and other identifiers across sources to confirm they all point to the same real person, then ranking which phone number or address is most likely current based on recency and source reliability.
This is the step where data quality actually gets decided. A provider that just dumps every phone number ever associated with a name will show a high match rate and a low hit rate on live people. A provider that runs a real verification pass will return fewer numbers per record, but a higher share of them will actually reach the person you are trying to contact.
What Match Rate Actually Means (And Where It Misleads)
Match rate is the percentage of records you submit that come back with any contact information attached at all. It is the number most skip tracing companies lead with in their marketing, and it is the easiest number to inflate: a provider can boost match rate simply by loosening its matching criteria and returning weaker, less confident matches.
A high match rate tells you a provider found something for most of your list. It does not tell you whether that something is a working number that reaches the actual property owner. Those are two different questions, and treating them as one is the single most common mistake investors make when comparing skip tracing vendors on price and match rate alone.
Why Match Rate Isn’t the Whole Story
The number that matters more is the right-party contact rate — the share of returned numbers that, when called, actually reach the person tied to the property. A few things separate a provider that delivers on this from one that doesn’t:
- A data verification loop. Providers that continuously re-check delivered numbers against fresh carrier and usage data (rather than returning a static snapshot) catch numbers that have gone dead or been reassigned since the last database refresh.
- Phone type breakdown. Knowing whether a number is mobile, landline, or VOIP changes how you should contact someone — mobile numbers are far more useful for texting and TCPA-aware calling strategies.
- Litigator scrubbing. Numbers associated with known serial TCPA litigants should be flagged or removed before you ever dial them, regardless of how accurate the underlying match is.
- Multiple points of contact. A provider returning only one phone number per record leaves you with no fallback if that number is dead; several ranked options per record meaningfully raises your actual connect rate.
How to Evaluate a Skip Tracing Provider’s Data Quality Before You Buy
Match rate claims on a landing page are marketing copy until you test them. Before committing budget to a provider, it is worth asking a few direct questions:
- What happens on records where no confident match is found — do you still get charged, or is a failed search free?
- Does the provider re-verify data against live sources, or is the database only refreshed periodically?
- Can the provider identify the individual owner behind an LLC or corporate-titled property, not just the entity name?
- Is there a replacement or credit policy for numbers that turn out to be dead or wrong?
- Is pricing pay-per-match, or do you pay a flat subscription regardless of results?
Run a small test batch of 50–100 records you already know the correct contact info for (recent deals, known sellers) and check the return against ground truth. That single test will tell you more about real-world accuracy than any advertised match rate percentage.
LLC and Corporate-Owned Properties: Why They’re Harder to Trace
A meaningful share of investment and distressed properties are titled to an LLC, trust, or other legal entity rather than an individual. Standard people-search tools stall here because there is no personal name attached to the deed to search against. Getting past this requires cross-referencing the entity name against secretary of state business filings to find the registered agent and listed members or managers, then running a standard skip trace on whichever individual name surfaces as the actual decision-maker. This is a meaningfully more manual, research-heavy process than tracing an individual owner, and it is one of the clearest places where a provider’s underlying data depth (versus a bare-bones people-search API) actually shows up in results.
Frequently asked questions
What counts as a good match rate for skip tracing?
Most established providers land somewhere in the 60–85% range on typical real estate lists, depending on how old or rural the list is. A number well above that range, advertised without qualification, is worth testing rather than trusting outright — it often reflects looser matching rather than better data.
Is skip tracing data always accurate?
No dataset is 100% accurate, because people move, change numbers, and drop landlines constantly. The realistic goal is not perfect accuracy but a high right-party contact rate on the numbers you do get, which is a function of how recently and how thoroughly the provider verifies its data rather than raw database size.
Can skip tracing find the owner behind an LLC?
Yes, but it takes an extra step beyond a standard trace: cross-referencing the entity name against state business registration filings to identify the registered agent or listed members, then tracing that individual. Not every provider does this automatically, so it is worth confirming before you rely on it for LLC-heavy lists.
How is skip tracing data different from a credit report?
Skip tracing providers license credit header data — the identifying name, address, and phone information attached to a credit file — but never the actual credit history, balances, or score. Legitimate skip tracing has no access to and makes no use of anyone’s credit history.
How often should skip tracing data be re-verified?
Contact data has a real shelf life. A number or address that was accurate three months ago can already be stale, especially for renters and recently-moved owners. If you are working an older list, it is worth re-running it rather than assuming a prior skip trace is still current.
US SkipTracing runs on simple pay-per-match pricing — $0.019 per record for skip tracing, no subscription, no monthly fee, and no minimum list size, whether you are tracing 50 records or 50,000. If a record can’t be matched, you don’t pay for it. Start a search on usskiptracing.com and see your actual match rate before committing to a larger list.
Related reading
- What Is A Skip Search? — a plain-language primer on what a skip search actually looks up.
- Understanding Free & Paid Skip Tracing Tools 2024 — how free tools compare to paid data sources for accuracy and match rate.
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