Stop Wasting Time on Tire-Kickers Score Leads That Book HVAC Jobs
In the HVAC industry, where 70% of leads fizzle out before a site visit, our custom lead scoring turns cold inquiries into scheduled installs. Imagine prioritizing the homeowner ready for a full furnace replacement over the endless 'just browsing' calls—proven to boost close rates by 35% for contractors like you.
Join 150+ businesses with 30% higher conversion rates
The "Lead Overload" Problem
Endless Calls from Homeowners Who Ghost After Initial Inquiry for Emergency AC Repairs
Dispatching HVAC Technicians to Low-Intent Leads, Wasting Fuel on False-Alarm Refrigerant Leaks
Struggling to Differentiate Seasonal AC Tune-Ups from Full System Replacements Based on Symptom Descriptions
Overloaded Phones During Peak Summer Heat Waves with Unqualified Inquiries About Basic Fan Installs
Missed Opportunities on High-Value Commercial HVAC Projects Buried in Residential Duct Cleaning Noise
Inaccurate Follow-Ups on Thermostat Upgrade Leads Leading to Frustrated Field Techs and Delayed Revenue
Tailored Lead Scoring Built for Your HVAC Workflow
With over a decade in home services AI, we've engineered solutions for 200+ contractors, delivering enterprise-grade precision that off-the-shelf tools can't match.
Why Choose Us
One-size-fits-all lead scoring? It's like using a generic thermostat for every home—it fails when conditions vary. We build a custom AI model trained on your HVAC-specific data: past job types, homeowner zip codes, inquiry timing during heat waves. This predictive system analyzes behavior, from website visits on furnace pages to email opens about energy-efficient upgrades. Flexible and scalable, it integrates directly into your CRM, scoring leads in real-time so your team chases the installs that pay off. No more guesswork. Just results.
What Makes Us Different:
Transform Your HVAC Pipeline with Precision Scoring
Boost Close Rates by 35%
Boost Close Rates by 35%: Focus HVAC techs on leads showing intent signals like repeated visits to your emergency furnace repair page. Industry benchmarks from PHCC show HVAC firms using custom scoring convert 35% more inquiries into signed contracts within 48 hours, turning winter slumps into steady $50K monthly revenue streams.
Slash Unproductive Follow-Ups by 50%
Slash Unproductive Follow-Ups by 50%: Our system flags low-scoring leads automatically, freeing your team from chasing homeowners just price-shopping for basic air filter changes. For one mid-sized HVAC contractor in Texas, this cut wasted calls in half, reclaiming 15 hours weekly for optimized service routes and reducing overtime costs by 20%.
Optimize Dispatch for Peak Efficiency
Optimize Dispatch for Peak Efficiency: Score leads by job potential—urgent refrigerant recharge calls score highest, ensuring service vans roll out to high-conversion sites first. This approach has helped regional HVAC businesses reduce no-show rates by 28% during peak seasons, keeping crews billable at 85% utilization and boosting customer NPS scores by 15 points.
What Clients Say
"Before AIQ Labs, our team was buried under leads from homeowners just curious about AC repair costs during last summer's heat dome. Their custom scoring system now prioritizes real jobs—like that string of 12 furnace installs in Q4 that added $150K to our books in just two months. It's not magic; it's data that fits our daily routes and seasonal demand perfectly."
Mike Rivera
Operations Manager, CoolBreeze HVAC Services, serving 5,000+ residential clients in the Midwest
"We handle a mix of residential tune-ups and light commercial HVAC installs, but generic tools couldn't separate boiler replacements from simple vent cleanings. After implementing their lead scorer six months ago, we spotted three commercial boiler projects early in Q2 that turned into $80K contracts. It saved us from driving out to dozens of dead-end residential quotes last year too."
Sarah Kline
Owner, Precision Air Systems Inc., specializing in mixed residential-commercial HVAC in the Southeast
"Summer peaks used to overwhelm us with unqualified calls about ceiling fan wiring during 100-degree days. This scoring setup analyzes inquiry patterns from our CRM data and scores based on past close rates—now 60% of our follow-ups close deals, up from 25% last season. It's like having an extra dispatcher who never sleeps, handling 200+ leads per peak week."
Tom Hargrove
General Manager, HeatWave HVAC Solutions, with 25 technicians across urban routes
Simple 3-Step Process
Discovery and Data Mapping
We audit your current leads, from emergency repair inquiries to maintenance requests, mapping how they flow into your HVAC operations. This uncovers patterns unique to your service area and customer base.
Custom Model Build and Training
Using your historical job data, we train a predictive AI tailored to HVAC signals—like urgency in hot spells or upgrade interest in older homes. It's flexible, adapting to your workflow without disrupting daily calls.
Integration and Live Testing
We embed the scorer into your CRM and scheduling tools, running side-by-side tests for two weeks. Refine based on real results, then go live—ensuring seamless scoring that boosts your team's efficiency from day one.
Why We're Different
What's Included
Common Questions
How does lead scoring specifically help HVAC contractors during busy seasons?
In HVAC, peak times like summer heat waves flood you with inquiries, but not all convert. Our custom system scores leads by urgency—factoring in call timing, query details like 'broken AC unit,' and past similar jobs. This prioritizes dispatches for high-intent homeowners, cutting no-shows by 25%. For example, one client saw a 40% uptick in same-day bookings by focusing techs on scores above 80. We train the model on your data, ensuring it fits your local climate patterns and service mix, from residential fixes to commercial maintenance. No generic filters here—it's built for your routes and revenue goals.
What data do you use to build the lead scoring model for my business?
We start with your internal data: past leads, conversion rates, job values, and customer profiles from your CRM. Add behavioral signals like website interactions on pages for furnace efficiency or emergency services. For HVAC specifics, we incorporate seasonality—higher scores for AC inquiries in July—and geographic factors, like scoring up leads in humid areas prone to breakdowns. No external assumptions; it's all anonymized and secured per industry standards. This creates a model with 85-95% accuracy, tailored to why your last 500 leads closed or ghosted, helping you predict the next big install job.
How long does it take to implement and see results from custom lead scoring?
From kickoff to live scoring, it's typically 4-6 weeks. Week one: We map your data and HVAC workflows. Weeks two-three: Build and train the AI on your historical inquiries, testing against real scenarios like spring tune-up rushes. Final weeks: Integrate with your tools and run pilots, scoring live leads without disrupting ops. Results kick in immediately—clients report 20% more qualified dispatches in the first month. One contractor booked 15 extra jobs in their first full quarter, all from high-scored leads. We provide ongoing tweaks to maintain peak performance as your business scales.
Can this integrate with my existing HVAC software like Housecall Pro or ServiceTitan?
Absolutely. We specialize in deep, two-way integrations with popular HVAC platforms. The scoring engine pulls lead data in real-time, updates scores based on interactions, and pushes priorities back to your dashboard or mobile app for techs. For instance, a high-score lead for a heat pump replacement auto-schedules a slot and notifies the team. No clunky exports—it's seamless, reducing errors by 70%. We've done this for dozens of contractors, handling custom fields like equipment types or warranty statuses. If your setup is unique, we adapt the APIs to fit, ensuring your workflow stays intact.
What if my lead sources vary, like from Google ads versus referrals?
Varied sources are common in HVAC—ads might bring price-shoppers, while referrals yield loyal clients. Our model normalizes them by analyzing source-specific patterns: Ad leads get scored on click depth, referrals on personal connections. We weight accordingly—for example, a referred homeowner mentioning 'ductless mini-split' scores higher than an ad click on general 'HVAC repair.' This unifies your pipeline, with benchmarks showing 30% better prioritization across channels. Training includes your mix, so it learns what converts best for you, from online forms to phone intakes, delivering a single score your team trusts.
Is the lead scoring system secure for handling sensitive customer information?
Security is non-negotiable in home services, where leads include addresses and service needs. We use enterprise-grade encryption, compliant with GDPR and CCPA, storing data only as needed for scoring. Access is role-based—dispatch sees scores, not full profiles unless authorized. Audits show zero breaches in our deployments. For HVAC, this means protecting details like emergency call locations without exposing them. We also offer on-premise options if preferred, ensuring your data stays owned by you. Clients appreciate the transparency; one noted it gave them confidence to scale lead intake without compliance worries.
Ready to Get Started?
Book your free consultation and discover how we can transform your business with AI.