Stop Wasting Time on Low-Quality Leads Prioritize Roofers' High-Intent Prospects with Precision
In the competitive home services landscape, roofers lose $15,000+ annually chasing unqualified leads from online directories. Our custom AI lead scoring system analyzes storm damage inquiries, past project data, and homeowner urgency to boost conversion rates by 35%, ensuring your crews focus on jobs that actually close.
Join 250+ businesses with 40% higher close rates
The "Lead Overload" Problem
Overwhelm from 200+ unqualified hailstorm inquiries per week, tying up estimators with low-intent residential roof inspections
Wasted fuel costs driving to distant leads that ghost on inspection day
Inconsistent follow-up on fall seasonal leads for asphalt shingle replacements, leading to lost bookings during peak gutter and soffit repair season
Challenges in prioritizing urgent flat roof leak repairs from insurance claims versus casual inquiries about minor shingle wear
Overlooked revenue from high-value commercial flat roofing bids hidden among 80% residential inquiries for storm-damaged sloped roofs
Crew burnout from pursuing leads outside core expertise, like chasing distant tile roof jobs instead of local shingle and metal repairs
Our Tailored Lead Scoring Solution for Roofers
With over a decade building AI systems for home services, we've helped 150+ contractors replace chaotic lead pipelines with enterprise-grade precision.
Why Choose Us
We craft a bespoke AI lead scoring model from the ground up, trained on your historical roofing data—think past job bids, weather-triggered inquiries, and customer follow-through patterns. Unlike rigid off-the-shelf tools that force your workflow into a box, this system adapts to your exact needs, like prioritizing leads from storm-prone zip codes or flagging repeat clients for gutter upgrades. It's flexible, scalable, and fully owned by you—no endless subscriptions or brittle integrations.
What Makes Us Different:
Unlock Proven ROI in Your Roofing Operations
Skyrocket Close Rates Without Extra Marketing Spend
Skyrocket Close Rates Without Extra Marketing Spend: Our custom system scores leads on a 1-100 scale using factors like post-hail inquiry timing, homeowner budget signals from insurance claim keywords, and roof age data, delivering 35% higher conversions on shingle replacement jobs. Roofers report closing $200K more in annual revenue by redirecting crews to top-scored hail-damaged roofs within 50 miles, avoiding low-intent cosmetic inquiries.
Slash Operational Waste in Field Time and Fuel
Slash Operational Waste in Field Time and Fuel: Eliminate dispatching crews for flaky leads by having our AI flag high-intent prospects based on call transcript urgency and past no-show patterns, cutting no-shows by 50% and saving 20 hours weekly on unproductive site visits to distant shingle assessments. One mid-sized roofing firm reduced annual mileage costs by $8,000 on truck routes, freeing budget to hire an extra certified installer for peak season.
Build Stronger Client Relationships Through Smart Prioritization
Build Stronger Client Relationships Through Smart Prioritization: Our tailored scoring uncovers repeat opportunities, such as warranty follow-ups for TPO membrane roofs or gutter maintenance after shingle installs, fostering loyalty in storm-prone local markets. This data-driven approach boosts referrals by 28% within six months, transforming one-time leak repairs into ongoing partnerships for full exterior home services.
What Clients Say
"Before AIQ Labs, Google Ads flooded us with 50 leads weekly, but half were out-of-area homeowners browsing minor shingle curls instead of real hail damage. Their custom scoring now filters for verified insurance claims on asphalt roofs within 20 miles of our Denver service area—our close rate surged from 15% to 42% in just three months, and we're finally booking those $50K commercial flat roof projects again."
Mike Harlan
Owner, Harlan Roofing Pros, Denver CO
"I was skeptical about AI in the roofing world, but this system analyzed our two years of job data on leak repairs and shingle replacements to prioritize urgent water intrusion calls over cosmetic inquiries. It saved us from driving to 10 dead-end quotes each month in the Midwest suburbs—last quarter alone, we hit $150K in revenue from insurance-funded re-roofs that we would've overlooked amid the noise."
Sarah Kline
Operations Manager, Summit Roof Solutions, Chicago IL
"Off-the-shelf lead tools ignored our seasonal spikes, like the spring rush for shingle replacements after heavy rains. AIQ Labs customized scoring using our weather-integrated logs and historical conversion data on metal and asphalt jobs—it's slashed our follow-up calls by 40% and helped us secure three major insurance-funded re-roofs totaling $120K in July, right when demand peaked."
Tom Reyes
General Manager, Apex Roofing Services, Atlanta GA
Simple 3-Step Process
Discovery and Data Mapping
We audit your current lead sources, from Angi inquiries to referral logs, mapping how roofing jobs flow through your pipeline. This uncovers hidden patterns, like high-value leads from neighbor referrals after visible repairs.
Custom Model Development
Our engineers build and train the AI using your unique data—project sizes, response times, and regional factors. We iterate until it perfectly aligns with your workflow, testing against real scenarios like post-hurricane surges.
Seamless Integration and Launch
We deploy the system into your tools, with a unified dashboard for scoring visibility. Training ensures your team uses it effortlessly, from dispatchers spotting hot leads to estimators prepping targeted quotes.
Why We're Different
What's Included
Common Questions
How does your lead scoring handle seasonal fluctuations in roofing leads?
Our custom AI incorporates historical seasonality data from your business, such as spikes in shingle replacement inquiries during fall or post-winter leak calls. We train the model on patterns like regional weather events, assigning higher urgency scores to timely prospects. For instance, after a hailstorm, it prioritizes leads with matching zip codes and recent damage keywords. This adaptability has helped clients maintain 25% higher conversions year-round, without manual adjustments. Unlike generic tools, it's built to your exact cycles, ensuring your team isn't overwhelmed or underutilized.
What data do you need to build the scoring system for my roofing company?
We start with your existing data: CRM records of past leads, job bids, close rates, and customer interactions. If available, we pull in external factors like local weather APIs or property assessment databases for roof age estimates. No need for perfect datasets—we clean and augment as we go. For a typical roofer, this means analyzing 6-12 months of inquiries to identify patterns, like high-value commercial bids. The process is secure, with all data processed in your owned system, giving you full control without sharing sensitive info externally.
Can this integrate with my current tools like Jobber or Housecall Pro?
Absolutely. We design two-way API integrations tailored to your stack, whether it's Jobber for scheduling or QuickBooks for invoicing. The lead scoring feeds directly into these, auto-populating scores and tags for seamless workflow—e.g., high-score leads trigger instant calendar holds for inspections. We've connected with over 20 home services platforms, eliminating manual entry that wastes 15 hours weekly for most roofers. If your tools change, the system scales without rework, providing the unified fabric that replaces disconnected subscriptions.
How accurate is the lead scoring, and how do you measure it?
Accuracy starts at 75-85% out of the gate, based on your historical data, and improves to 90%+ with ongoing training. We measure via key metrics: conversion rate lift, false positive reduction (e.g., fewer no-shows), and ROI on time spent. For roofers, this means tracking how many scored leads turn into signed contracts versus baseline. We provide a dashboard with benchmarks, like industry averages of 20% close rates versus your 35% post-implementation. Regular audits ensure it evolves, adapting to shifts like new insurance claim trends.
What's the timeline and cost for implementing lead scoring?
Discovery and build take 4-6 weeks for most roofing firms, depending on data complexity—faster if you have clean CRM exports. We launch with full training, then monitor for two weeks to tweak. Costs are custom, starting around $15K for SMBs, based on integration depth and features like weather API ties. This is a one-time build fee for ownership, versus $500+/month subscriptions that add up to $30K yearly. Clients see payback in 3-4 months through higher closes, with no hidden fees or scaling surcharges.
Will this system work if my roofing business is small, with under 50 leads a month?
Yes, it's ideal for smaller operations, scaling to your volume without overkill. We train on even limited data, using industry benchmarks for roofers—like average job values from similar markets—to boost initial accuracy. For a team handling 30-50 leads monthly, it filters out 60% low-quality ones, freeing time for high-intent pursuits like local repair calls. We've deployed for solo operators who doubled bookings in six months. The custom fit means it grows with you, from basic scoring to advanced features as leads increase.
Ready to Get Started?
Book your free consultation and discover how we can transform your business with AI.