Lead Generation Engine
Property Data Estimator
Before qualifying a lead or preparing an estimate, pull available property data and use it to pre-qualify the job and give the estimator meaningful context. No more showing up to a property with zero background.
Custom scope
The Problem
The Gap
Your estimator drives 35 minutes to a property. They don’t know the square footage, the year it was built, the roof type, or whether there’s been a permit pulled in the last 5 years. They start the conversation from zero. The homeowner expects them to already know. The estimate takes longer. The close rate is lower. And on 1 out of 5 visits, the job doesn’t match what the lead described because nobody verified the basics before sending a truck.
The Math
What Showing Up Blind Costs
average customer touchpoints before a home services purchase
Every touchpoint is an opportunity to demonstrate competence. Showing up to an estimate with property context before the homeowner says a word builds trust faster than any marketing campaign.
Source: Google / CAMP Digital, 2025
target proposal-to-close rate for home services
Close rate is a function of trust and accuracy. Estimators who arrive with property context quote more accurately and close at higher rates because the homeowner sees preparation, not guesswork.
Source: CustomerFlows, 2026
cost to acquire each home services lead in competitive markets
At $150+ per lead, every estimate visit that starts from zero context wastes the investment you made to get that lead in the door. Property data at intake protects your cost per acquisition.
Source: WebFX, 2025
The Fix
The System
A property data API integration that pulls available records when a lead address enters the system. Property context is appended to the lead record and surfaced to the estimator before the appointment.
What We Build
Property data API integration (address input triggers automated property record pull)
Data enrichment layer on lead intake: property context appended to lead record at qualification
Estimator briefing: key property facts surfaced to owner or tech before the appointment
Job-type pre-qualification logic: property age and size cross-referenced against typical job scope
Data accuracy guardrails: flags when property data is incomplete or potentially outdated
Requirements
Required Inputs and Fit
What we need from you
Preferred property data API vendor (or authorization to evaluate options: Attom, CoreLogic, Google)
Service types that benefit most from property pre-qualification
CRM or field service management access for enrichment integration
Typical job scope by property type (helps configure pre-qualification logic)
Budget for property data API costs (typically per-lookup pricing)
Who this is for
Built for owner-led home services businesses where estimators regularly show up to properties with no background on age, size, or prior work. Best fit for roofing, HVAC, remodeling, and other trades where property characteristics directly impact job scope and pricing accuracy.
Implementation
Implementation and Ongoing Operations
This engine is custom-scoped based on your data source requirements, integration complexity, and lead volume. Pricing is determined during the strategy call.
Custom setup fee
Custom monthly retainer
The Management Retainer
Systems break when they are abandoned. Your setup fee covers the custom build. From there, this engine is maintained through a monthly operations retainer. We handle the optimization, the reporting, and the technical oversight so you can focus on running your crews. All engine installations begin with a 90-day initial commitment to ensure baseline stability.
Outcomes
How We Measure Success
Leads enriched with property data at intake
Adoption and coverage rate
Estimate accuracy improvement
Tracked via close rate on enriched vs. non-enriched leads
Time saved per estimate appointment
Reduced information gathering during the visit
Job-type pre-qualification accuracy
Predicted scope vs. actual scope on arrival
Complementary Systems
Pairs Well With
Lead Response Engine
Property data is appended at intake. The Lead Response Engine captures the lead. The Property Data Estimator enriches it before the estimator leaves the office.
Job Lifecycle Engine
Property context flows into the full job record, improving tracking and reporting across the entire lifecycle.
Neighborhood Farming Engine
Property data enrichment combined with geographic cluster detection identifies neighborhoods where property characteristics match your ideal job profile.
Common Questions
Frequently Asked Questions
Depending on the data source: square footage, year built, roof type and age, lot size, permit history, ownership records, and assessed value. Availability varies by region and data provider.
Most providers charge per lookup, typically $0.10 to $1.00 per address depending on the data depth. For a business running 50 to 100 estimates per month, API costs are typically $50 to $100/month.
It’s most valuable for trades where property characteristics directly impact job scope: roofing (roof type, square footage, age), HVAC (square footage, system age), remodeling (year built, layout data), and similar. For trades where property data is less relevant (pressure washing, basic plumbing repairs), the ROI is lower.
Yes. We integrate directly with ServiceTitan, Housecall Pro, Jobber, and the GoHighLevel ecosystem. Property data is appended to the lead record in your existing system.
Accuracy varies by source and region. The system includes data accuracy guardrails that flag when records are incomplete, outdated, or potentially unreliable. Estimators are briefed on confidence level alongside the data so they know what to verify on site.
Yes. Property data can inform targeting for the Neighborhood Farming Engine and help identify neighborhoods where property characteristics match your ideal job profile. The enrichment layer has applications beyond the estimate visit.
Ready to show up to every estimate with real context?
Start with a diagnostic audit. We will map every gap, quantify what it is costing, and show you exactly which systems close it.