Pick your county. See which motivated-seller lists are producing real deals there right now, in the exact
order you should pull them. Built from every investor purchase recorded in your county over the last six
months, and adjusted for your state's foreclosure and disclosure rules. Free to use, no account needed.
How this works (the whole logic in 60 seconds)
No black box. Here is everything the ranking does, start to finish.
1. We start with what actually happened. Every single-family home an investor bought in your county
over the last six months, straight from the recorded sales.
2. We check what lists those homes were on. Vacant, probate, tax delinquent, high equity,
every list and combination. If a home that sold was sitting on a list, that list gets credit for a deal.
3. We divide list size by deals. That number is doors per deal: how many doors you have
to work on that list before one becomes a real purchase. A 1,600-door list that produced 47 deals is 34
doors per deal. Lower is better.
4. We rank everything against the county baseline. Priority 1 means pull it first: it finds
deals several times faster than marketing to the whole county. Priority 2 is your second wave. Priority 3
is context: thin samples, tiny slivers, or lists your state's rules make unreliable.
To use it this week: pull your Priority 1 rows (the plan tag on each row shows what data access
it needs), save each one as its own preset, and work them top to bottom. The build checklist further down
writes out the exact steps for your county.
The combined ranking: every signal in every county, one list
All of your selected counties' pull signals ranked together by priority and lift,
each judged against its OWN county's baseline and regime. The top of this table is your best
dollar spent across everything you work.
Priority 1 pull first: 3x+ more efficient than baseline (10x+ ranks here at any list size)Priority 2 strong: 1.5-3x baselinePriority 3 context rows: regime-demoted, thin, or demand-only
Signal consistency: what holds up everywhere you work
A signal that ranks Priority 1 in every county you work is a
portfolio-wide first pull; a signal that is sharp in one county and dead in the next needs
county-by-county budgets.
Your market at a glance
The Priority Framework: every pull signal, one ranking
Priority 1 pull first: 3x+ more efficient than baseline (10x+ ranks here at any list size)Priority 2 strong: 1.5-3x baselinePriority 3 context rows: regime-demoted, thin, or demand-onlybroad touches 20%+ of deal flow core 5-20% niche under 5%: small but often the sharpest listsAll plans any tier Expert plan SiftMap Pro data: included Expert/AI, or the +$297 add-on below AI plan Investor AI Score
The stacking rule: run the AI score and the distress lists as PARALLEL pulls,
never AND-stack a distress list on top of the score. The score already prices in distress; stacking
shrinks the list without making it sharper. Stack distress signals on each other (the STACK rows), and
run the AI band as its own separate pull.
Which plan pulls these lists
Every row above is tagged with the data access it needs. Deal Room access is identical on all qualifying plans; the tier only changes platform features and data reach.
First to market: the lists you pull at the source, not from a provider
The first-to-market play: every list above comes from public records that
publish on a clock. Pull them weekly at the source, skip trace the fresh filings, and you are talking
to the seller before a provider list of them even exists. A list nobody can buy is not a dead end,
it is a moat: the investor who builds the direct pipeline owns the lane.
How the AI score fits in
The DataSift Investor AI score (0-100) predicts how likely a property is to sell to an
investor. It is a volume and efficiency lever, not a margin oracle: use it to work fewer doors per deal,
and use the lists above to pick your margin.
WHERE to hunt: this county's hottest ZIPs
SFR price range: where the odds are best
Efficiency by home-value band (AVM, reliable even where sale prices are not public).
The longest bar is where a deal takes the least doors worked.
Turn this into a pull (5 minutes in DataSift)
Methodology (the honest fine print)
The 5-Day Deal Flow Challenge
Learn to run this at the highest level
You have your county's pull order and every source right here. The Challenge is where you learn to
run all of it like the operators doing millions a year: live, over five days, built alongside you.
Can't make a day live? You keep the recordings, and it credits toward whatever plan you pick.
What we cover each day
Day 1Your data foundationPick your market, set your filters, pull your first targeted list.
Day 2Marketing that compoundsThe exact mail, call, and text cadence, at any budget.
Day 3Find the deals hiding in your marketAI workflows that score every property and surface the deals others miss.
Day 4A pipeline that closesA CRM that surfaces scored leads before they go cold, with numbers you can trust.
Day 5Scale without breakingTurn the system into a machine that pulls deals on autopilot.
Start with your county
Type your county in the search box above. Every U.S. county is in here, built from its own
sold-to-investor deal records; counties with too little investor activity to rank honestly show the
state-adapted benchmarks instead, with their real local numbers stated.