Skip Tracing for Real Estate Investors — Find Motivated Sellers Others Can't Reach

Why Real Estate Investors Need Skip Tracing

The most profitable deals in real estate — deeply discounted off-market properties, motivated sellers before they list, absentee landlords tired of managing from a distance — come from reaching people no one else has been able to contact. If a seller's information was easy to find, twenty other investors would have already called them.

Skip tracing is the tool that closes that gap. It takes what you know about a property — the address, the owner of record on the county assessor's file — and returns what you need to start a conversation: a current phone number, an email address, and sometimes a family member or associate who can get a message to them when direct outreach has failed.

The difference between a skip trace that generates deals and one that wastes dialer hours is data quality. A list of 500 absentee owners padded out with disconnected and wrong numbers produces a bad connect rate and a demoralized cold-calling team. A shorter list of current, verified numbers — with the misses costing nothing — produces leads.

Internal links: Skip Tracing API · Bulk Skip Tracing · Landlord Skip Tracing · Driving for Dollars · Absentee Owner · Distressed Property Leads

Driving for Dollars and Absentee Owner Lists

Driving for dollars — physically scouting neighborhoods for vacant, distressed, or neglected properties — produces some of the best off-market lead lists in residential real estate. The problem is that once you have the address, finding the owner's phone number is where most investors hit a wall.

County assessor records give you an owner name and a mailing address. But mailing addresses are often a PO box, an LLC address, or an address the owner hasn't lived at in five years. The phone number isn't in the assessor file. That's the skip trace: you give Ava Data the owner name and the property address, and we return the phone numbers we have on file for that person — even if they moved, even if they're managing the property through an LLC, even if every direct-mail piece you've sent has gone unanswered.

Absentee owner lists — purchased from data vendors or pulled directly from county records — work the same way. Upload the CSV of names and addresses through our bulk processing tool. We run each row through the identity graph and return a new CSV with verified phone numbers appended. You pay only for the rows where we found a match.

See also: Driving for Dollars · Absentee Owner

Deep Search — For the Hard-to-Reach Seller

Some sellers are genuinely difficult to reach. The phone number in every database is disconnected. The email address bounces. The certified letter came back. This is where Deep Search earns its price.

Deep Search runs a full relational mapping on the subject — finding spouses, siblings, adult children, parents, and known associates — and returns verified contact information for each related person alongside the subject's own data. If you can't reach the absentee landlord directly, you may be able to reach their spouse, their adult child who handles property decisions for the family, or a known associate who can pass along your contact information.

Deep Search costs 10 credits ($0.20 per match). It's designed for high-priority targets — properties where the deal economics justify spending a few extra cents to exhaust every contact avenue before moving on. For list-level bulk enrichment, Standard phone-only lookups at 1 credit each are the right starting point.

Learn more: What is Relational Mapping? · Landlord Skip Tracing

Pricing Built for Investor Workflows

The $9/month plan includes 100 credits — enough to run 100 phone-only lookups or a mix of Standard and Deep Search on your highest-priority leads. Wallet credit packs are separate one-time purchases, used after the plan's subscription credits. There is no minimum monthly lookup volume; in a slow month where you're not actively working a list, you pay $9 and nothing else.

API access is available for investors building automated pipelines — connect Ava Data to your CRM, your property management software, or your dialer's lead import flow. API access is on for every account: generate a key in Settings → API Access.

How Ava Data Compares to Other Skip Trace Services

The skip trace market has two broad categories: per-row bulk list providers and per-match search platforms. Per-row providers charge you for every record in your list regardless of whether a match is found — common in the $0.10–$0.15 per-record range. Whatever share of your list doesn't return a usable phone number — and on older or poorly maintained lists that share is never small — you are paying full price for it and getting nothing back.

Ava Data uses per-match pricing: if a row in your list doesn't return a verified phone number, that row costs nothing. The effective cost per connected conversation is lower even if the nominal per-credit price appears similar, because you're not paying for misses.

The second dimension is data recency. Most skip trace databases pull from the same small set of aggregators on a quarterly or annual schedule. Ava Data's identity graph refreshes every 24 hours. For real estate investors targeting long-term absentee owners — people who have moved, changed carriers, and updated contact info multiple times since the property became vacant — recency is the difference between a connect rate that justifies the dialing campaign and one that doesn't.

See also: Distressed Property Leads · Pre-Foreclosure Leads · Tax-Delinquent Properties · Probate Leads

Is there a tool that builds property lists and skip traces them in one place?

Yes. Ava Data, LLC builds the list and appends the contact data in one account: List Builder pulls owner records by filter at 1 credit (2¢) per record, and the same records are traced for phones at 1 credit per match — nothing billed on a miss. Both draw on the same credits on the $9/month plan. There is no separate tracing vendor, no file to hand off, and no order minimum.

That is the part most investor stacks split across two purchases. A property-data product sells the list; a tracing product sells the phone numbers; the CSV travels between them and the column names never match. Here the pull and the append are the same workflow on the same records, and both bill per record or per match rather than per seat. The List Builder quick-lists are the filter presets — absentee owner, vacant, high equity, pre-foreclosure — and list stacking combines them before a single credit is spent on contact data.

How do you skip trace a list of properties, step by step?

A skip trace runs in five steps, and the order matters: every filter you apply before the trace is a record you do not pay to trace.

1. Build or import the list. Pull it in List Builder by county, equity, owner occupancy and years owned at 1 credit (2¢) per record on the $9/month plan (100 credits included), or import a CSV you already own. A bulk file takes up to 250,000 records.
2. Stack and de-duplicate first. List stacking combines source lists so an owner who appears on three of them is one record, not three. A duplicate-run warning flags a file you have already uploaded and run, before you pay to trace it twice.
3. Choose the data types. phone alone is 1 credit per match; phone plus email is 2 credits. In a bulk file a row is charged only for the types it returns, so a row with a phone and no email is charged 1, not 2.
4. Run the append. Upload the file for bulk skip tracing, or POST one record at a time to /api/v1/standard-search at 60 requests per minute. A bulk row needs a name with a ZIP or a city and state, or a full street address with city, state and ZIP; a single search needs a name and a complete address.
5. Export and work it. The result file carries your uploaded columns plus Match Found and the appended phone, line-type and email columns, and each phone carries a line type, such as mobile or landline, when one is known, so a text-first sequence can drop the landlines before it starts.

Deep Search (10 credits, 20¢) is the sixth step for the records that come back empty — it returns the related-persons graph rather than a second attempt at the same number. Run it on the handful of addresses whose deal economics justify it, never on the whole list.

How much does it cost an investor to skip trace 1,000 properties?

At most $20 on a list you already own: 1,000 records at 1 credit (2¢) per match, and every record that returns no phone is free. Pulling those 1,000 records in List Builder first adds 1 credit each — $20 — so a list built and traced from scratch tops out at $40. The $9/month plan includes the first 100 credits.

The ceiling is the honest number to plan against, because the only way the bill goes below it is records that returned nothing. That is the difference between per-match and per-row billing, and it is a ratio rather than a price: on a per-row file every unmatched record is charged at the full rate, so the worse the list, the wider the gap. Ava Data does not publish a match-rate figure — you see your own match rate on every job, and you pay only for the matches returned. The skip tracing cost guide works the same arithmetic across list sizes, and the per-tier table is in the pricing section below.

Where does the owner data come from, and how often does it refresh?

From public records and an identity graph, not from a scrape of listing sites. The property side — owner of record, mailing address, assessed value, years owned, lien and foreclosure filings — comes from county recorder and assessor files. The contact side comes from an identity graph built on public-record and proprietary identity sources, refreshed every 24 hours.

That split is why a county file alone does not finish the job. The assessor knows who owns the property and where the tax bill goes; it does not know the owner's phone number, and the mailing address on it is often a PO box, an LLC's registered agent, or an address the owner left years ago. Ava Data resolves the person behind that record. It does not evaluate anyone's eligibility for credit, insurance, employment, housing or tenancy — Ava Data is not a consumer reporting agency and the data is for locating owners to make an offer.

Frequently Asked Questions

Is there a tool that builds property lists and skip traces them in one place?

Yes. Ava Data, LLC pulls the owner list in List Builder at 1 credit (2¢) per record and appends phones to those same records at 1 credit per match, in one account on the $9/month plan, which includes 100 credits. Nothing is billed on a record that returns no match, and there is no order minimum and no separate tracing vendor.

How much does it cost to skip trace 1,000 properties?

At most $20 on a list you already own — 1,000 records at 1 credit (2¢) per match, with unmatched records free. Pulling those records in List Builder first adds 1 credit each, so a list built and traced from scratch tops out at $40. The $9/month plan includes the first 100 credits.

What do I need to have before I can skip trace a property?

A name with a location, or, in a bulk file, a full street address on its own. A single Standard Search needs a name plus a street address and ZIP, or a name plus a city and state. In a bulk CSV each row needs first and last name with a ZIP, first and last name with a city and state, or a street address with city, state and ZIP; rows that meet none of these are skipped and not charged.

Can I skip trace a property owned by an LLC or a trust?

Yes, and it is a two-step trace. The county recorder lists the entity as owner of record, so the first step is finding a person behind it: a state business filing may name a manager, member or registered agent, and the deed or an earlier deed often names a trustee or the individual. The second step traces that person by name, with Standard Search or with Deep Search (10 credits, 20¢) when you need relatives and associates. An LLC or trust name searched as if it were a person usually finds no match.

What is the difference between a Standard Search and a Deep Search?

Standard Search returns the phone numbers on file for the subject, mobile numbers first (1 credit), and the email addresses on file when you request them (2 credits for phone + email). Deep Search costs 10 credits (20¢) and adds the related-persons graph — spouses, siblings, parents and known associates, each with their own phone numbers — for owners direct outreach has not reached. Credits come with the $9/month plan, which includes 100.

Do unmatched records cost anything?

No. Credits are charged only when a match is returned: on a miss matchFound is false, creditsCharged is 0, and the phones array is absent. In a bulk file a row is charged only for the data types it returns, so a row that returns a phone but no email is charged 1 credit rather than 2; a single Standard Search for phone + email charges 2 credits on any match.