Reach Home Buyers Before They Choose Their Agent or Lender
LeadsPlease Intent to Buy a Home data identifies U.S. consumers actively researching a residential property purchase — before they’ve committed to an agent, lender, or neighborhood. Every record is scored 1–100% for home buyer intent and delivered with full contact details and demographics.
What Is Intent to Buy a Home Data?
Intent to Buy a Home data is a consumer marketing dataset that identifies U.S. households showing behavioral signals consistent with planning a residential property purchase. These signals are gathered from real-world sources — online listing activity, mortgage rate research, credit pre-qualification inquiries, and neighborhood search behavior — and matched against a national household graph.
The result is a scored, ranked list of consumers likely to purchase a home in the coming weeks or months. It is a marketing prioritization tool — not a prediction — that lets you concentrate your budget on the prospects most likely to need your product or service right now, before they’ve made key decisions about who to work with.
Unlike a new homeowner list — which tells you who has already closed on a property — Intent to Buy a Home data reaches consumers while they are still in the research and decision-making phase. That means getting in front of buyers before they’ve chosen a lender, signed with a buyer’s agent, or committed to an insurance carrier.
Signal sources used to identify prospective home buyers:
- Online listing activity
Homes saved, favorited, and repeatedly viewed on major real estate portals
- Mortgage rate & payment research
Comparing lenders, using affordability calculators, and checking current rates
- Pre-qualification signals
Soft credit inquiries and pre-approval application activity
- Neighborhood & school research
School district ratings, commute calculators, and local amenity searches
- Open house & showing interest
Registered attendance, scheduled tours, and agent contact requests
- Home value research
Comparative market analysis lookups and property valuation tool activity
The 3–6 Month Buying Journey
Home buyers spend months researching before they make an offer. During that window they are selecting a lender, choosing an agent, committing to a neighborhood — and purchasing dozens of related products and services. Be in front of them before those decisions lock in.
- Estimating budget & down payment
- Comparing mortgage rates
- Exploring neighborhoods online
- Researching school districts
- Getting pre-qualified
- Viewing listings daily
- Attending open houses
- Signing with a buyer’s agent
- Submitting mortgage pre-approval
- Making & negotiating offers
- Hiring a home inspector
- Finalizing mortgage terms
- Purchasing homeowner’s insurance
- Scheduling movers
- Setting up new utilities
Sources: National Association of Realtors Profile of Home Buyers and Sellers; U.S. Census Bureau; Freddie Mac
Who Uses Intent to Buy a Home Data
Any business whose customers need to make a buying decision in the months surrounding a home purchase — from financing to furnishing.
Reach buyers before they’ve chosen a lender. Pre-approval seekers are the highest-value contact in the home buying funnel.
Connect with buyers before they sign a buyer’s agency agreement. Early outreach builds trust before the competition even makes contact.
Every home purchase requires a new homeowner’s policy. Reach buyers weeks before closing, when they’re actively comparing carriers.
Buyers need title insurance on every transaction. Build awareness early so you’re the company their agent recommends at closing.
Home purchases generate high-value, time-specific moves. Reach buyers in the active search phase, before they’ve booked a mover.
New buyers are highly receptive to warranty offers. Reach them before closing when home protection is front of mind.
Every home purchase triggers a full new service setup. Get your offer in before buyers default to the prior owner’s providers.
New homeowners are 2–3× more likely to install solar than established residents. Reach them early in the ownership journey.
Most buyers plan renovations within 12 months of purchase. Reach them before they’ve found a contractor and while budgets are set.
Buyers purchasing a new home are actively furnishing and decorating. Reach them before they’ve committed to a store or brand.
What’s Included in Every Record
Every Intent to Buy a Home record is delivered marketing-ready with full contact data, demographics, and a propensity score. All postal addresses are CASS-certified, delivery-point validated, and NCOA-processed before delivery.
| Field | Detail |
|---|---|
| Full Name | First + last name, verified |
| Postal Address | CASS-certified, NCOA-processed, DPV-confirmed |
| Phone Number | Mobile and/or landline where available |
| Email Address | Validated deliverable email |
| Age & Gender | Head of household demographics |
| Estimated Income | Household income band |
| Homeowner / Renter Status | Current housing status where available |
| Estimated Home Value | Current property value estimate (owners) |
| Signal Category | Listing activity, mortgage inquiry, pre-approval, open house signal |
| Signal Date | When the intent signal was first detected |
| Intent Propensity Score | 1–100% likelihood-of-purchase score |
The Intent Propensity Score
Every Intent to Buy a Home record carries a 1–100% Intent Propensity Score — a proprietary likelihood measure based on the recency, volume, and source diversity of the signals detected for each consumer.
Unlike binary in-market flags, our score lets you tier your marketing investment — focusing premium outreach on the 90–100% band while running broader awareness campaigns to mid-range scores.
Multiple recent signals. Active listing views, pre-approval submitted, open houses attended.
Strong signals. Regular listing activity, mortgage rate research, neighborhood comparisons.
Early-stage signals. Home value lookups, affordability calculator use, general market research.
Initial signals detected. Suitable for broad awareness campaigns and early brand building.
The score is a marketing prioritisation signal only. It does not constitute a prediction, guarantee, or consumer report.
What Makes Our Intent Data Different
Most intent data providers target B2B sales teams. LeadsPlease Intent to Buy a Home is built for companies reaching individual U.S. households — with postal addresses, phone numbers, and email, not just company domains.
We don’t just flag someone as “in-market.” We score every record 1–100% so you can concentrate your budget on the consumers most likely to transact — and not waste spend on tire-kickers.
Reach buyers before they’ve chosen a lender, agent, or insurance carrier. Once those decisions are made, your window closes. Our data catches them while the field is still open.
Every postal address is run through USPS NCOA monthly and CASS-certified before delivery. You get a deliverable address — not a stale one that bounces your direct mail piece.
We combine listing views, mortgage research, credit pre-qualification signals, and open house activity. More sources means broader coverage and fewer false positives in your list.
No sales call. No minimum order. No subscription. Use the list builder to select geography and score range, preview 100 free records, and download in minutes.
Permitted Use & Compliance
LeadsPlease Intent to Buy a Home data is sourced from publicly available records and licensed data compilations. It is provided for marketing and advertising purposes only.
This data is not a consumer report under the Fair Credit Reporting Act (FCRA) and may not be used for credit decisions, employment screening, insurance eligibility determinations, tenant screening, or any other purpose regulated by the FCRA.
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Browse Home Buyer Intent Lists →Talk to a Data SpecialistFrequently Asked Questions
Intent to Buy a Home data is a consumer marketing dataset that identifies U.S. households showing behavioral signals consistent with planning a residential property purchase. Signals — drawn from online listing activity, mortgage research, pre-qualification inquiries, and open house interest — are aggregated, matched to a household graph, and scored to produce a ranked list of consumers most likely to buy a home in the coming weeks or months.
LeadsPlease aggregates intent signals from multiple real-world sources: online listing activity (homes saved and repeatedly viewed on major portals), mortgage rate and affordability research, soft credit pre-qualification inquiries, school district and neighborhood search behavior, and open house attendance signals. Each signal is matched against our national household graph and scored using our Intent Propensity model.
A new homeowner list identifies people who have already closed on a property and recorded the deed transfer. Intent to Buy a Home data identifies consumers who are actively researching a purchase before it happens — reaching them while they are still selecting a lender, agent, and insurance carrier. That is the window when your outreach can actually change who they choose to work with.
The Intent Propensity Score is a 1–100% likelihood score assigned to each consumer in our Intent to Buy a Home dataset. A score of 90–100% indicates strong, recent, multi-source signals — active listing views, pre-approval submissions, open houses attended. A score of 50–70% reflects earlier-stage research. Marketers can filter by score threshold to prioritize the highest-intent contacts or cast a wider net with mid-range scores.
Home buyer intent signals are typically detected 30 to 180 days before a consumer closes on a property. The active search phase alone averages 10 weeks according to NAR data. This gives marketers a multi-month window to reach buyers with mortgage, insurance, title, moving, and home services offers before they’ve committed to any provider.
Our Intent to Buy a Home dataset includes homeowner and renter status where available. Consumers who are currently renters and showing home purchase signals are strong first-time buyer prospects. You can filter by current renter status in the list builder to prioritize this segment.
The highest-impact verticals are mortgage lending, real estate (buyer’s agents), homeowner’s insurance, title and escrow companies, moving companies, home warranty providers, internet and cable providers, solar installers, home improvement contractors, and furniture retailers. Any business whose customers make a buying decision around a home purchase stands to benefit from reaching them during the research and decision phase.
Each Intent to Buy a Home record includes: full name, NCOA-processed postal address, phone number, email address, age, estimated household income, homeowner or renter status, estimated home value (for current owners), signal category (listing activity, mortgage inquiry, pre-qualification, open house), signal date, and an Intent Propensity Score from 1–100%.
Yes. Intent to Buy a Home records can be used to build custom audiences for Facebook, Instagram, and Google display campaigns via address-based audience matching. Coordinated direct mail and digital campaigns to the same household reinforce your message throughout the home buying research window.
Yes. LeadsPlease Intent to Buy a Home data is sourced from publicly available records and licensed data sources and is intended for marketing purposes only. It is not a consumer report under the Fair Credit Reporting Act (FCRA) and may not be used for credit, employment, insurance eligibility, tenant screening, or other FCRA-regulated decisions. Use is subject to LeadsPlease Terms of Service and applicable marketing laws including CAN-SPAM and CCPA.