Real estate
Length-at-address, mover-intent signals, school-district fit, equity posture, downsizing/upsizing life stage.
A buyer's agent reaches out to 300 prospects and gets 4 conversations. The problem isn't the volume — it's that 290 of those 300 weren't actually in a mover window. The 10 who were are mixed in invisibly.
LeadWarmer surfaces the mover-intent windows: length-at-address patterns, life-stage changes, school-district-fit shifts, refi-vs-sell posture. Call the 10 who will actually answer.
What we pull for real estate.
Two layers. Per-lead signals rank the rows on your list. Market & contextual drivers — regulation, incentives, rates, weather, and migration — set the backdrop that decides when a whole segment heats up. The top 20% bubble up; the cold rows get deprioritized until a signal shifts.
Real, defensible drivers of buying behavior for this vertical — not per-row attributes. LeadWarmer tracks these as the backdrop to scoring and surfaces the live ones through Opportunity Radar and news-based tuning.
How LeadWarmer works for real estate.
No new data to buy and no integration project. You bring the real estate list you already have; we score it against the signals that decide who's ready.
Drop a CSV of your real estate leads — CRM export, purchased list, or scraped names. No schema to match.
Every row is scored on the real estate signal set — starting with length-at-address, equity posture, and life-stage transition.
You get a prioritized call list with the reason each lead scored where it did — so the 20% worth calling today rise to the top.
One row from your list.
Real structure, placeholder data. This is the output format you get back on every lead you upload.
Questions real estate teams ask.
How does LeadWarmer find real estate leads who are actually ready to move?
It scores each contact on mover-intent signals — length-at-address, equity posture, life-stage transitions, school-district fit, and commute-change probability — so the handful in a genuine mover window rise to the top of your list.
What's the best time to reach out to a potential seller?
When multiple mover signals align: a long tenure at the current address, a household-size mismatch with the home, or a job/commute change. LeadWarmer surfaces those windows instead of leaving you to guess.
Does it distinguish investors from primary-residence owners?
Yes — multi-address ownership patterns flag investors, so you can route them to the right conversation.
Can I use my existing prospect list?
Yes. Upload the list you already work and LeadWarmer re-ranks it by mover intent — nothing new to buy.
Warming similar lists.
Equity posture, current-rate vs market delta, rate-lock window, refi-vs-purchase signal, jumbo boundary crossing.
14 correlations →
Roof age, HVAC life-cycle, property value bracket, storm-damage zip, recent home-sale triggers.
12 correlations →
System lifecycle, storm-zone flag, permit history, recent claim recency, cross-sell signals between HVAC and re-roof.
14 correlations →Run your real estate list.
Drop a CSV and we'll score every row against the 13 correlations above. First 50 free.