Stop Wasting Time on Low-Quality HVAC Leads Prioritize the Prospects That Convert to Paying Jobs
In the competitive HVAC market, where 70% of leads never turn into service calls, our custom lead scoring system ensures your team focuses on high-intent homeowners ready for repairs or installations—boosting close rates by up to 40% without the guesswork.
Join 150+ businesses with 30% higher conversion rates
The "Lead Overload" Problem
Endless Calls from Tire-Kickers Draining Your HVAC Dispatch Schedule with Unqualified Plumbing Inquiries
Missing Peak Season Opportunities Amid 40% HVAC Demand Surges in July-August Heatwaves
Uneven Lead Quality Leading to Inconsistent Revenue from Service Calls
Overloaded HVAC Techs Chasing Low-Intent Homeowners for Routine Filter Changes and Annual Tune-Ups
Wasted Ad Spend on Prospects Unlikely to Need Emergency AC Repairs
Wasted Ad Spend on Prospects Unlikely to Need Emergency AC Compressor or Refrigerant Leak Repairs
Tailored Lead Scoring Built for Your HVAC Workflow
With over a decade of experience optimizing operations for service-driven trades, we've helped HVAC firms replace chaotic lead management with precise, AI-driven prioritization.
Why Choose Us
One-size-fits-all tools force HVAC contractors into rigid scoring that ignores the nuances of your local market—like distinguishing between a homeowner with a failing furnace in winter versus a casual inquiry. We build a custom AI model from the ground up, trained on your historical data: past service tickets, call logs, and conversion patterns. This isn't a template; it's enterprise-grade intelligence molded to your exact needs, scoring leads in real-time based on factors like urgency signals from search queries or geographic hotspots for HVAC breakdowns. Short on resources? We integrate it seamlessly into your existing CRM, creating a unified dashboard that flags high-value leads for immediate dispatch. The result: your team targets prospects with a proven track record of booking, slashing follow-up time and elevating your close rates.
What Makes Us Different:
Unlock Efficiency in Your Daily Operations
Boost Close Rates on High-Intent Repairs
Boost Close Rates on High-Intent Repairs: Imagine dispatching HVAC techs only to leads scored 80%+ likely to convert—our custom system identifies urgent needs like emergency furnace igniter failures or duct leaks, resulting in 35% more booked jobs within 48 hours and 20% fewer drive-time losses to unqualified visits in suburban service areas.
Streamline Scheduling for Peak Demand
Streamline Scheduling for Peak Demand: During summer AC rushes in high-humidity zones, prioritize leads from overheating-prone older homes; contractors see a 25% reduction in scheduling conflicts over 90-day peaks, allowing crews to handle 20% more refrigerant recharge and evaporator coil service calls without overtime burnout.
Cut Costs on Fruitless Follow-Ups
Cut Costs on Fruitless Follow-Ups: No more chasing ghosts—our AI flags low-scoring inquiries from routine maintenance seekers automatically, saving your sales team 15 hours weekly on cold calls for boiler inspections and redirecting efforts to prospects ready for full-system ductwork installations, with a 40% drop in no-show rates.
What Clients Say
"Before AIQ Labs, our team was buried under 50 leads a week from Google Ads, but half were just price shoppers inquiring about basic thermostat swaps. Their custom scoring now ranks leads by actual repair urgency, like faulty blower motors—we went from 15% close rates to 42% in three months, and our techs are on-site 30% more without unnecessary callbacks."
Mike Reynolds
Operations Manager, CoolBreeze HVAC Services in Atlanta
"HVAC peaks in July are brutal with constant calls for frozen coils, but this system scores leads based on our past data for symptoms like 'AC not cooling' in humid climates. Last summer, we filled 90% of our slots without extra ads for evaporator cleanings, and revenue jumped 28% year-over-year from prioritized emergency dispatches. It's like having an extra dispatcher who never sleeps."
Sarah Patel
Owner, Precision Climate Control in Phoenix
"We integrated it with our ServiceTitan CRM in under two weeks, and now low-quality leads from Google Local Services ads for simple air filter replacements get auto-filtered. Saved us $5,000 monthly in wasted calls—our close rate on scored leads for heat pump upgrades hit 55%, and the team's morale is way up since they're not chasing dead ends in rural service routes."
Tom Vargas
Service Director, Apex Heating & Cooling in Denver
Simple 3-Step Process
Discovery and Data Mapping
We dive into your HVAC operations—reviewing past leads, service logs, and seasonal patterns—to map what defines a winning prospect in your market.
Custom Model Development
Our engineers build and train the AI on your unique data, incorporating HVAC-specific signals like equipment age queries or emergency keywords for precise scoring.
Seamless Integration and Launch
We deploy the system into your workflow with a custom dashboard, test for accuracy, and train your team—delivering immediate prioritization of high-value leads.
Why We're Different
What's Included
Common Questions
How does your lead scoring differ from standard CRM features for HVAC businesses?
Standard CRM tools offer basic filters, like lead source or location, but they fall short in predicting true intent for HVAC specifics—think distinguishing a homeowner searching 'AC repair cost' from one typing 'AC not working now.' Our custom AI digs deeper, training on your historical data to score leads with 85-90% accuracy on conversion potential. For instance, it weighs factors like call duration or mentions of symptoms such as 'leaky ducts,' which generic systems overlook. We've seen HVAC contractors cut unqualified pursuits by 50%, focusing techs on jobs that pay. Setup takes 4-6 weeks, integrating directly into tools like Jobber, and it's fully owned—no subscriptions tying you to vague algorithms.
What data do you need to build an effective scoring model for my HVAC company?
We start with your existing records: past leads, service tickets, customer interactions, and conversion outcomes from the last 12-24 months. This includes CRM exports, call logs, and even ad performance data. No need for perfect datasets; our team cleans and enriches them. For HVAC relevance, we incorporate details like job types (e.g., emergency vs. maintenance), seasonal patterns, and geographic factors such as older homes in your service area prone to breakdowns. If data is sparse, we supplement with industry benchmarks from similar contractors. The goal: a model that mirrors your workflow, scoring a lead inquiring about 'heater installation' higher if it aligns with your winter close rates. Privacy is paramount—we anonymize and secure everything per GDPR standards.
Can this system handle seasonal fluctuations in HVAC leads, like summer AC surges?
Absolutely. Our models include dynamic weighting for seasonality, analyzing historical trends to adjust scores during peaks—for example, boosting priority for cooling-related inquiries in July based on your past 30% conversion spike. It's not static; the AI learns from ongoing data, ramping up sensitivity to urgent signals like 'hot house no AC' during heatwaves. Contractors using our system report 25% more bookings in high season without extra marketing spend. Integration ensures it syncs with your calendar, auto-suggesting slots for top-scored leads. Short-term, we baseline it on your data; long-term, it self-optimizes quarterly, keeping your dispatch efficient year-round.
How quickly can we see results from implementing lead scoring in our HVAC operations?
Most clients notice improvements within the first month post-launch. After 4-6 weeks of build and integration, the system starts scoring incoming leads in real-time, helping your team prioritize 20-30% higher-quality prospects immediately. For a mid-sized HVAC firm, this often translates to 15-20% more closed jobs in the first quarter, based on benchmarks from our deployments. We include a 2-week training period for your sales and dispatch staff, plus performance tracking to tweak as needed. One contractor saw their no-show rate drop from 25% to 8% after just six weeks, as low-scoring leads were filtered early. It's designed for quick wins while scaling with your growth.
Is the lead scoring solution scalable as my HVAC business expands to new territories?
Yes, our architecture is built for growth, handling increased lead volume—from 100 to 1,000+ monthly—without slowdowns, using cloud-based frameworks that scale on demand. As you expand, say into neighboring counties with different climate needs, we retrain the model on new data like local furnace failure rates, ensuring scores remain accurate. Features include multi-location support, where it can segment by territory for tailored prioritization. Unlike rigid tools, this flexes with your ops—no recoding required for expansions. We've scaled systems for contractors doubling revenue, maintaining 95% uptime and adapting to variables like regional ad sources or service van routes.
What happens if our lead sources change, like switching from Google Ads to a new platform?
Our system is designed for adaptability. If you pivot lead sources—e.g., from Google Ads to Facebook or a referral partner—we update the integrations via secure APIs, typically in 1-2 weeks, to pull in the new data without disrupting scoring. The AI retrains on the fresh inputs, recalibrating for platform-specific behaviors, like how Facebook leads might show higher intent for maintenance upsells in HVAC. No downtime; it's modular. Past clients who've switched platforms saw sustained 35% conversion lifts because the core model focuses on universal signals like query urgency. We provide ongoing support to monitor and optimize, ensuring your workflow stays seamless amid changes.
Ready to Get Started?
Book your free consultation and discover how we can transform your business with AI.