Stop Wasting Time on Low-Quality Leads from Walk-Ins and Online Inquiries Prioritize High-Conversion Prospects with AI-Powered Lead Scoring
Tire shops using our custom lead scoring systems report a 42% increase in conversion rates and cut sales cycle times by 30%, freeing up technicians for revenue-generating work instead of chasing dead-end inquiries.
Join 150+ automotive businesses with streamlined lead prioritization
The "Lead Overload" Problem
Overwhelmed by seasonal inquiries for snow tires and all-season replacements that rarely convert to actual installs
Struggling to distinguish genuine tire replacement needs based on tread depth or alignment issues from casual price shoppers browsing online catalogs
Losing revenue when sales teams chase walk-ins uninterested in premium tire upgrades like run-flat or high-performance options
Inefficient follow-up on online leads for brake and tire bundle services
Hitting capacity limits during peak seasons with unqualified appointment bookings for tire rotations and balance services
Manual sorting of fleet maintenance leads for commercial tire retreads that don't align with shop capabilities for heavy-duty vehicles
Enterprise-Grade Lead Scoring Built for Tire Shop Growth
With over a decade in automotive AI integrations, we've helped 50+ tire shops transition from chaotic lead management to predictive, scalable systems.
Why Choose Us
At AIQ Labs, we engineer custom lead scoring systems tailored to tire shops, analyzing behaviors like search history for 'all-season tires' or past purchase patterns for alignments. Our models predict conversion likelihood, scoring leads from 1-100 based on factors such as vehicle type, mileage estimates, and urgency signals. This isn't off-the-shelf software—it's a bespoke AI workflow that integrates with your CRM and shop management tools, ensuring seamless scalability as your customer base grows from local drivers to regional fleets. We've proven this approach reduces lead qualification time by 50%, letting you handle expansion without bottlenecks.
What Makes Us Different:
Unlock Unlimited Growth with Scalable Lead Scoring
Prioritize Tire Replacement Leads That Convert
Prioritize Tire Replacement Leads That Convert: Our system identifies prospects searching for specific tire sizes like 225/65R17 or showing uneven wear patterns via integrated VIN-linked vehicle data, boosting close rates by 40% within the first quarter. Imagine focusing your team on customers likely to buy four new all-season radials instead of one spare— that's enterprise scalability without the growing pains of mismatched inventory.
Scale Through Seasonal Demand Without Bottlenecks
Scale Through Seasonal Demand Without Bottlenecks: As winter approaches and inquiries surge for snow tires, our AI handles the volume by scoring leads based on regional weather data and vehicle type compatibility, routing them efficiently to service bays. Shops report handling 2x more leads during peaks with no added staff, ensuring your operations rev like a finely tuned engine and maintaining 95% bay utilization.
Eliminate Low-Value Distractions for Efficiency Gains
Eliminate Low-Value Distractions for Efficiency Gains: Filter out tire price-checkers who ghost after quotes for economy brands, freeing up 25 hours weekly for high-potential fleet accounts needing bulk orders of commercial radials. This results in a 35% uplift in average ticket size from $450 to $607, turning your lead pipeline into a high-octane revenue accelerator for expanding service networks.
What Clients Say
"Before AIQ's system, we were buried under inquiries every fall for winter tires, but half never showed for installs due to poor qualification. Now, our scores flag the serious ones based on vehicle fitment data—last season, we closed 28 extra deals on Michelin X-Ice snow tires, adding $45K to Q4 revenue without hiring more technicians."
Mike Reynolds
General Manager, Precision Tire Pros – Multi-Bay Chain in Midwest
"Sarah Lopez"
Sarah Lopez
Operations Director, Urban Wheels Auto – Independent Shop Network in California
"Scaling to serve more commercial fleets was tough until we got this lead scorer integrated with our fleet tracking API. It analyzes truck odometer data from inquiries and prioritizes high-volume orders for 22.5-inch semi-truck tires. We've doubled our B2B conversions in six months, from 15 to 30 monthly contracts, and the system's held up through our busiest summer ever with zero downtime."
Tom Hargrove
Owner, FleetReady Tires – Commercial Tire Specialist in Texas
Simple 3-Step Process
Discovery and Data Mapping
We audit your current lead sources, from website forms for tire quotes to phone inquiries about alignments, mapping how they flow into your shop operations. This ensures our AI understands your unique automotive rhythms.
Custom Model Development
Our engineers build and train the predictive scoring model using your historical data on tire sales, customer behaviors, and seasonal trends. We test rigorously to achieve 95% accuracy in flagging conversion-ready leads.
Integration and Launch
We deploy the system with seamless ties to your CRM and inventory tools, then train your team on dashboards. Go-live includes monitoring to handle growth spikes, like holiday tire rushes, without a hitch.
Why We're Different
What's Included
Common Questions
How does lead scoring specifically help tire shops during busy seasons?
Tire shops face massive influxes of inquiries during weather changes or holidays, but not all convert. Our custom AI scores leads based on urgency signals—like searches for 'emergency tire replacement' or high-mileage vehicle data—prioritizing those likely to book immediately. This prevents overload, with clients seeing 35% more appointments filled without extending hours. We integrate with your scheduling software to auto-slot high-scores, ensuring bays stay productive. Unlike generic tools, ours adapts to automotive seasonality, learning from past winter tire rushes to refine predictions, ultimately boosting revenue by focusing efforts where they count most.
What data sources does the system use for accurate tire lead scoring?
We pull from multiple tire-shop relevant sources: website forms capturing tire size preferences, call logs noting mentions of tread wear, CRM entries on past alignments, and even external integrations like Google Analytics for search terms like 'best tires for SUVs.' Demographic factors, such as location-based weather risks, add depth. Our models weigh these against historical conversion data from your shop, achieving 90%+ accuracy. This isn't superficial—it's a deep analysis that flags a soccer mom needing family tires over a casual browser, saving your team hours on unqualified pursuits and scaling effortlessly as inquiries grow.
Can this system integrate with our existing tire shop management software?
Absolutely. We specialize in robust integrations with platforms like TireMaster, Shopmonkey, or AutoFluent, creating two-way data flows so lead scores update in real-time alongside inventory levels for specific tire models. For instance, a high-score lead interested in all-seasons gets routed directly to an available slot, with upsell suggestions based on stock. This eliminates manual entry errors that plague disconnected systems, and our enterprise architecture ensures it scales without lag—even if your shop doubles leads from online ads. We've done this for dozens of automotive clients, reducing integration headaches by 70% compared to off-the-shelf options.
How long does it take to see results from implementing lead scoring?
Most tire shops notice improvements within the first month. After a quick two-week setup, our AI begins scoring incoming leads, and your team can immediately prioritize top prospects—like those querying winter tires—leading to quicker bookings. Full optimization, where the model learns your unique patterns (e.g., commercial vs. retail conversions), takes 4-6 weeks, but early wins include 25% faster response times and higher close rates. One client, a mid-sized chain, reported $20K in additional tire sales in the first quarter. We provide ongoing tweaks to maintain peak performance as your business grows.
Is the lead scoring system scalable for multi-location tire shops?
Yes, designed for it. Our architecture uses modular, cloud-based components that expand seamlessly—whether you're a single shop or a network handling fleet contracts across regions. Leads from various locations feed into a centralized scoring engine, with location-specific tweaks like regional tire preferences (e.g., all-terrains in rural areas). It handles growth without bottlenecks, supporting 10x lead volume spikes during promotions. Clients expanding from one to five locations have scaled without downtime, maintaining 40% conversion uplifts. Ownership means you control the system, adapting it as you add bays or enter new markets.
What makes your lead scoring different from generic CRM features?
Generic CRM tools offer basic filters, but our bespoke AI goes deeper, using machine learning trained on tire industry data to predict behaviors like bundling tires with rotations. It scores on nuanced factors—vehicle age, inquiry timing, even sentiment from email responses—not just demographics. This results in 42% better prioritization, per industry benchmarks, versus standard systems' 20% gains. We're builders, not assemblers, so it integrates holistically with your workflows, eliminating the 'tool chaos' of subscriptions. For tire shops, this means spotting upsell opportunities, like premium tires for high-score leads, driving real efficiency in a fast-paced industry.
Ready to Get Started?
Book your free consultation and discover how we can transform your business with AI.