Or scroll down and run your county right now. It is free, and nothing here needs an account.
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 in SiftMap, and work them top to bottom.
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 market share ladder: every list, one work order
Every list, list combination, and score band in this county, arranged into one
work order. Each rung counts only the properties the rungs above have not already given you,
so the doors per deal number is what that pull really costs you next, and "market share
after" is the share of this county's investor deals your stack of pulls can now reach.
Because every rung is re-measured on what remains, the same list can sit on a different rung
with different numbers in the two views: the score bands soak up deals first, and everything
below them is priced on the leftover slice.
Priority 1 the cheapest deals in the county, work these firstPriority 2 keeps the volume coming at a fair pricePriority 3 maximum market share, at a steep cost per new deal
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-onlyDeal share = the percent of this county's investor purchases that sat on the list; small lists are often the sharpest and cheap to work in fullAll 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.
The obituary list: the earliest signal there is Expert plan
How to work it: this is a positioning list, not a quick-flip list. Expect
close to zero closings from it in its first 6 to 9 months, then a wave. Start with respectful,
low-pressure mail 30 to 60 days after the filing (condolence-adjacent tone, brand first, no hard
offer), add calls from month 6 as the estate reaches its selling window, and hold the cadence
through the month 12 to 24 window where most of these sales actually land. The family that has seen
your name for a year picks up the phone when the probate mailers finally show up.
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.
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.
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.
Want a walkthrough of your own county's numbers first? Book the call, it is free.
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.