Source, Sift, Stack, Skip: How Every Seller Mail List Is Built

TLDR Every seller list on the market goes through the same four stages. Source is the public record, and everybody pulls from the same well. Sift is a formula someone ran on the source data, and that's what most list companies are really selling. Stack is combining lists, and most investors stack so many that they end up mailing the same tiny list as everyone else. Skip is skip tracing for phone numbers, and if you're mailing, you skip it. Build it this way: neighborhood, then audience, then one motivation per list. Mail the same people every month and refresh the list before every send.

Why this matters

Every few months a new list company shows up with a "proprietary" list. Secret data. Exclusive signals. Leads nobody else has.

I've been mailing for 15 years and bought 300+ houses, a lot of them off mail. Here's what I've learned: there is no secret list. Every list goes through the same four stages, and once you see them clearly you can build a better list than most of what's for sale.

Stage 1: Source. Everybody drinks from the same well.

Source data is the original record. It's the only real data in the whole system. Everything else is built on top of it.

Here are the popular lists you'll see in every list tool, and the record each one actually comes from.

Lists from the county

Lists from the courts

Lists from the city

Lists from the market and everywhere else

So does anybody have special data?

No. Not really.

PropStream, BatchLeads, DealMachine, PropertyRadar, ListSource: they all sit on top of the same public records. Behind many of them are a few wholesale data companies (ATTOM, Cotality, which used to be CoreLogic, and First American's DataTree) that collect county records nationwide and license them out. PropStream's own site says its data comes from public records, MLS, and private aggregators.

Nobody is driving to the Hamilton County courthouse to pull a probate list for you. They buy bulk feeds and digital copies of the same public records you could look up yourself.

A few honest exceptions, so you know where the edges are:

• MLS data is licensed, not public. List companies pay for access. It's still the same MLS your agent sees.
• USPS vacancy flags are licensed through certified address-software vendors. Same flag, sold by many companies.
• Phone numbers and emails come from consumer data brokers, not public records. That's stage four, below.
• Water shutoff lists are rarely public. Most utilities won't release them. Some city-owned water departments will through a records request, depending on your state's law. Don't count on it.

Can you beat them by going to the courthouse yourself?

You can be a little faster. A few days, maybe. It doesn't matter. If you're mailing the same people every month (and you should be), being two days earlier than the next guy changes nothing.

Where going local actually helps is coverage, not speed. The national companies are good at county records: pre-foreclosure, tax delinquent, involuntary liens. They're bad at city records. Code violation, condemned, fire damaged, vacant registry, and obituary lists mostly never make it into the big databases. Some smaller counties don't feed digital records at all.

That's the real edge: source data the big companies don't carry. You get it with a public records request (FOIA), by reading the paper, and by watching your neighborhood. It's slow, local work. That's why it works.

Stage 2: Sift. This is what most list companies are selling.

Sifted data, or derivative data, is a formula somebody ran on the source data. It's not a new fact. It's a guess built from old facts.

Most "proprietary lists" are sifted lists with a good name on them.

Here's the problem with sifted lists: it's one formula for the whole country. The same high equity cutoff gets applied in Phoenix and in Chattanooga. The same tired landlord rule gets applied to a $60,000 house and a $600,000 house. It works in some neighborhoods and fails in others. It works for some strategies and not for others.

That's why I don't trust automated values. I use the tax assessed value instead. It's source data, every county has it, and a rough house in a good neighborhood often carries a low one. That's driving for dollars at scale.

Sifted data isn't bad. Blanket sifted data is bad. A formula built for one specific neighborhood, from that neighborhood's own records, is a different animal. More on that below.

Stage 3: Stack. Where most people screw it up.

Stacking is combining lists. Buy box, owner type, motivations: you layer them and get a mailing list.

The mistake almost everyone makes: they stack too much.

The popular playbook says stack every motivation onto one list. Absentee and high equity and tax delinquent and vacant. Or probate and absentee and free and clear. It sounds smart. More signals, more motivated seller, right?

Here's what actually happens:

1. The list shrinks to almost nothing. Four names. You can't run a mail program on four names.
2. Everyone ends up with the same four names. Every tool sells the same preset stacks. If you stack the popular lists, you're mailing the exact people every other investor in town is mailing that month.
3. You lose the real sellers. This is the part nobody talks about.

Why stacking motivations loses real people

Every motivation list is incomplete. Tax delinquencies get paid off and reported late. Probate gets filed in a different county. Involuntary liens get missed. Say each list catches about 70% of the people who actually have that problem.

• One motivation: you catch about 70% of the real sellers.
• Two motivations stacked: 70% x 70% = about 49%.
• Three stacked: about 34%.

Every motivation you require cuts out real people who have the problem but didn't show up in that particular list. And the person in pre-foreclosure is already motivated. They don't also need to be going through a divorce.

The right stack: neighborhood, then audience, then one motivation per list

1. Neighborhood. Start with where you'd actually buy. Pick a house you'd buy, and the neighborhood around it is your buy box. Set your size, age, and value limits from that neighborhood, not a national template.

2. Audience. Split the owners by who they are, because they sell for different reasons and read mail differently.

• Owner-occupants: regular homeowners. They sell because of life: death, divorce, money, moving.
• Landlords: non-owner occupied. They sell because they're tired, the house is a headache, or the numbers stopped working.

3. One motivation per list. Run each motivation as its own list on top of neighborhood + audience:

• Pre-foreclosure list
• Probate list
• Divorce list
• Involuntary lien list
• Tax delinquent list
• Code violation list
• Expired listing list
• Intra-family transfer list
• Vacant list (landlords only, so the mail goes to the owner, not an empty house)

Never require two motivations on the same house.

Then:

• Combine all the motivation lists into one mailing.
• Remove duplicates.
• Subtract your do-not-mail list: houses you own, investors you know, owner-occupied houses that are vacant (nobody's reading that mail), and anyone who asked to be taken off.

You end up with a list in the hundreds, not four names. Every person on it has a real reason to sell. And because you built it from your neighborhood instead of a preset, it isn't the list everybody else is mailing.

One more benefit: when each list has one motivation, your mail can speak to that one situation. A letter to an heir on the probate list reads differently than a letter to a landlord on the code violation list.

Stage 4: Skip. The one we skip.

Skip tracing is matching phone numbers and email addresses to the owners on your list. It's for cold calling and texting.

It's not public record. The numbers come from consumer data brokers: credit headers, utility hookups, magazine subscriptions, old forms people filled out. That's why the same owner comes back with six phone numbers and four of them are wrong.

And it's not a motivation. A phone number doesn't tell you anyone wants to sell. It just gives you another way to interrupt them.

If you're mailing, you don't need it. The mailing address is already source data, straight from the assessor. It's free, it's accurate, and the owner has to keep it current or they stop getting their tax bill. That's the address your postcard goes to.

If you do decide to call or text, know the rules first. Do Not Call lists and texting laws apply, and the fines are real.

We skip this stage. Homebase is mail. The seller calls you.

The rule that matters most: same people, every month

The list is not a one-time pull. The biggest mistake after overstacking is mailing a list once, getting two calls, and moving on.

Sellers don't sell when you mail them. They sell when their life changes. Your job is to be the name on the fridge when that happens. That means mailing the same neighborhood, the same audiences, every month.

Set it up once. Refresh it every time you send.

Your monthly routine:

1. Refresh every motivation list. New probate filings, new pre-foreclosures, new code violations come in. Paid-off and sold houses drop out.
2. Freeze this month's version so you know exactly who got what.
3. Combine the lists and remove duplicates.
4. Subtract the do-not-mail list.
5. Send.
6. Track which list and which neighborhood every call came from.

Once the lists are built, this takes an hour. A VA can do it. Mine does.

Build it yourself: the checklist

• Pick a neighborhood you'd actually buy in
• Set your buy box from that neighborhood's own houses (size, age, assessed value, lot, property type)
• Use tax assessed value, not automated values
• Split owners into two audiences: owner-occupants and landlords
• Build one list per motivation: pre-foreclosure, probate, divorce, involuntary lien, tax delinquent, code violation, expired listing, intra-family transfer, vacant (landlords only)
• Never require two motivations on one list
• Add local lists the big tools miss: code violations, fire damaged, condemned, obituaries, vacant registry
• Combine, dedupe, subtract your do-not-mail list
• Skip the skip tracing
• Mail the same people every month
• Refresh before every send
• Track every response back to its list

That's the whole thing. Those are the keys.

Or let us do it

This is exactly what Homebase does, built for one neighborhood at a time.

Source: we pull every record in your neighborhood. Not a national list filtered down. Every property, every owner, every record we can get for that area.

Sift: we sift it for that neighborhood. Size, age, and value limits come from your neighborhood's own houses. The signals are weighed against what's normal on those streets, not a blanket formula built for the whole country. That's the difference between good sifted data and bad sifted data.

We find what the big databases miss. When we build it for you, an AI research crew works your neighborhood before every send: obituaries, foreclosure notices, tax sales, code cases, fires, for sale by owner listings, long-listed rentals. Real houses with real problems that never show up in a list tool.

Stack: we stack it the right way. Neighborhood, then audience, then one motivation per list. No overstacking, no preset lists everyone else is mailing.

Skip: we skip it. No cold calls, no texts. Postcards to the owner's real mailing address, and the seller calls you.

And we refresh it every send. Same people, every month, with new motivated owners added as they show up.

You pick the neighborhood. We build the list, mail it, track every call, and hand you the leads.

Sources for the data-industry claims: PropStream FAQ, PropStream features, ATTOM recorder data, First American DataTree, USPS DPV / vacancy data.