4-weekahead
Demand forecasts with calibrated confidence bands
Complete Contact Data
Property owner name, phone number, email address, property details, and permit context so your team is not cold calling random addresses.
HVAC Permit Intelligence
Stop chasing cold leads. Predict the next project.
Connect with homeowners who just pulled permits. Our predictive intelligence reveals what they will need next before your competition even knows.
Complete contact dataTiming and predictionTargeting and ROI
The status quo
Cold outreach misses the permit signal
- Homeowners pull renovation permits before HVAC upgrades, replacements, and add-on work become obvious.
- Most contractors wait for search demand, referrals, or emergency calls after competitors are already bidding.
- Permit sequences reveal who is likely to need ductwork, equipment replacement, electrical coordination, or maintenance follow-up next.
What we deliver
Predictive intelligence that works
02
Optimal Timing Intelligence
Know when to contact each prospect based on permit approval timelines, inspection windows, and construction phases.
03
Future Opportunity Predictions
See what homeowners are likely to buy next with 3-6 month advance predictions and a cross-sell opportunity calendar.
04
Smart Location Targeting
Draw service areas on maps, search by ZIP code, or set a radius around addresses for precise homeowner targeting.
05
24-Hour Lead Delivery
Receive permit alerts within 24 hours of government filing, with real-time data updates as new records appear.
06
Performance Analytics
Track response rates, conversion metrics, booked jobs, and ROI so your lead generation strategy improves each week.
What you can evaluate
Proof you can inspect before the first call
HVAC permit leads, homeowner contact data, HVAC lead generation, and predictive permit intelligence.
Complete contact data
Owner name, phone, email, property details, and permit context in one lead record.
Timing and prediction
Approval timelines, construction phases, and 3-6 month cross-sell opportunity calendars.
Targeting and ROI
Map-drawn areas, ZIP codes, radius targeting, 24-hour alerts, and conversion analytics.
Proof workflow
Input, review, evidence, output.
Bring the closest real workflow. We map what you send, what your team reviews, what evidence stays visible, and what you receive at handoff.
Input
Service area, target ZIP codes, radius rules, ideal jobs, permit categories, and any historical win data you can share.
Review surface
We match permits to owner contact data, score timing by approval and construction phase, and rank future HVAC opportunities.
Evidence
Each lead shows contact fields, property details, permit source, timing rationale, prediction window, and recommended action.
Output
24-hour permit alerts, prioritized lead list, map targeting view, opportunity calendar, CSV, and performance report.
Source and limits
What stays visible before you commit.
Confidence
Lead quality improves when permit data, contact enrichment, and conversion history are reviewed together.
Caveat
Contact availability varies by jurisdiction and data source; we show source context and delivery confidence.
Source
Permit filings, property records, contact enrichment, approval timelines, construction phases, territory rules, and performance data.
Review path
Source notes, contact coverage, timing rationale, prediction windows, and sales review points.
Export path
24-hour permit alerts, prioritized lead list, map targeting view, opportunity calendar, CSV, and performance report.
Before the first call
What you send · What you get
No vague discovery phase. You bring four or five things, we return a specific plan you can evaluate.
→ What you send
- 112+ months of service history (CRM export or equivalent)
- 2Territory boundaries and any current scheduling logic
- 3CRM/dispatch platform name for integration scoping
- 4Seasonal or geographic patterns you have noticed
← What you get back
- 1Data quality assessment — what is usable and what needs cleanup
- 2Baseline forecast accuracy on your data (held-out backtest)
- 3Model architecture recommendation with reasoning
- 4Dashboard wireframe showing recommended actions
- 5Retraining schedule with automatic drift detection plan
Deliverables
What you walk away with
- Demand forecast dashboard with 4-week ahead service predictions
- Territory and site selection scoring tied to real foot-traffic signals
- Model card and backtest results so you can audit accuracy
- Monthly retraining pipeline with automatic drift detection
How we work
A scoped path from sample data to running system
No open-ended retainers. No "discovery phases" that bill for months without producing anything you can evaluate.
-
01
Data intake
Your service history (12+ months ideal), territory boundaries, and any seasonal context. We assess data quality and recommend baselines.
-
02
Model build
Foot-traffic signals from Foursquare + Overture, weather, demographic, and competitor data combined with your service history. Tuned to your geography.
-
03
Dashboard
Action-oriented view: recommended staffing levels, route assignments, expansion candidates. Not a raw model output — a decision surface.
-
04
Retrain
Monthly retraining on accumulated data. Model drift surfaced automatically. We can transfer the pipeline or keep operating it under SLA.
Live on geospatialsolutions.co
Click into the actual work
These open the real, interactive demos on our main site — not screenshots, not videos. Click around before you decide to talk to us.
Why teams trust us
- Owner contact data, permit records, property details, approval timelines, and construction-phase signals
- PostGIS, Mapbox, Python, TensorFlow, and custom project-sequence forecasting models
- Operated by Geospatial Solutions LLC — Washington, DC
Questions teams ask before they engage us
Common questions, answered honestly
What contact data do we receive?
Each qualified lead can include property owner name, phone number, email address, property details, permit details, project type, filing date, and the signals behind the timing recommendation.
How fast do permit leads arrive?
The goal is delivery within 24 hours of government filing, with updates as records change. Timing depends on the municipality's publishing cadence, but the system is built for fast alerting once data is available.
How do we choose where to target?
You can draw areas on a map, search by ZIP code, set a radius around an address, or define priority territories around service branches, crews, or high-value neighborhoods.
What makes a lead predictive?
We score permit type, approval timeline, construction phase, property context, and renovation sequences to predict likely HVAC needs and cross-sell opportunities three to six months ahead.
More from Geospatial Solutions
Adjacent services your team may need
Predictive Analytics
Forecasting and automation for logistics, retail, and field-service teams that need to plan ahead, not react —…
Retail Analytics
Not surveys. Not estimates. Real foot traffic — built for CRE teams, retail strategists, and franchise operato…
DumpsterOS
Dispatch optimization, container tracking, and demand prediction built for roll-off dumpster companies — runni…
Field Mapping
We turn inspections, asset inventories, environmental sampling, construction checks, and field surveys into mo…
Permit lead intelligence demo
Ready to Predict Your Next Big Project?
Bring a territory or trade area. We will pull real foot-traffic data and a demand forecast on the call so you can evaluate the signal before any engagement.
Map my HVAC service area