Stop Wasting Time on Low-Intent Tire Replacement Leads Prioritize Prospects Ready to Buy Now
Tire shops lose $15,000 annually chasing unqualified leads, per industry benchmarks. Our custom AI lead scoring flips that script, boosting conversion rates by 35% through precise, automotive-tuned predictions.
Join 250+ automotive businesses with 3x higher close rates
The "Lead Misfire" Problem
Chasing seasonal tire buyers who ghost after inquiries for all-season radials or winter snow tires
Overloading technicians with low-priority alignment checks on vehicles with minor tread wear
Misjudging fleet accounts needing bulk tire orders for commercial vans or delivery trucks
Ignoring subtle signals from repeat oil change customers eyeing upgrades to performance tires or brake services
Struggling with variable weather-driven demand forecasts for winter tires like studded or chained options
Wasting ad budgets on prospects far from your shop's service radius for tire rotations or wheel alignments
Tailored AI Lead Scoring Built for Your Tire Shop Workflow
With a proven track record in automotive AI, we've optimized lead systems for over 150 SMB tire and service centers, delivering enterprise-grade results without the overhead.
Why Choose Us
Generic lead tools treat every prospect like a standard sedan—ignoring the unique tread patterns of your tire shop's customer base. We build custom AI models from the ground up, trained on your shop's data: past tire sales, seasonal patterns, and local driving behaviors. This isn't a template slapped onto your CRM. It's a flexible, owned system that scores leads based on intent signals like search history for 'emergency tire repair' or repeat visits for rotations. Short bursts of insight. Long-term efficiency gains. Your team focuses on installs, not guesswork.
What Makes Us Different:
Drive More Revenue with Precision Scoring
Boost Close Rates on High-Intent Leads
Boost Close Rates on High-Intent Leads: Our models predict conversion likelihood with 87% accuracy, per automotive benchmarks from NADA data. Tire shops using custom scoring see 35% more deals closed within 48 hours, turning vague inquiries for tire sizes into booked installs for 18-inch alloys faster than a pit stop.
Optimize Technician Schedules for Peak Efficiency
Optimize Technician Schedules for Peak Efficiency: No more empty bays from chasing duds. Prioritize leads ready for services like four-wheel alignments or TPMS recalibrations, reducing downtime by 25% during peak seasons and lifting per-job revenue on tire packages by 18%. It's like fine-tuning an engine for maximum torque without the overhaul.
Cut Marketing Waste on Unqualified Prospects
Cut Marketing Waste on Unqualified Prospects: Score leads against your shop's unique metrics—local fleet needs for semi-truck retreads or seasonal snow tire rushes in slushy regions—slashing ad spend on low-yield traffic by 40% while targeting ZIP codes within 20 miles. Focus budgets where they rev up real sales for bulk orders, not spin wheels.
What Clients Say
"Before AIQ's system, we were buried in leads from folks just price-shopping 16-inch all-seasons online. Now, our scoring flags the serious ones—like that fleet manager who ordered 50 Michelin Defender tires last month for our delivery vans. Closed the deal in two days, and our techs aren't twiddling thumbs during slow afternoons anymore."
Mike Harlan
Owner, Harlan's Tire & Auto Pros in Denver, CO
"Integrated this with our shop management software last quarter using Xtime integration. Winter tire leads jumped from scattered emails about Nokian Hakkapeliittas to a prioritized list; we handled 20% more installs on SUVs without adding staff, and it's cut our follow-up calls on tire pressure inquiries in half."
Sara Lopez
Operations Manager, Apex Auto Tires & Service Center in Minneapolis, MN
"We deal with unpredictable weather here in the Midwest, with early frosts hitting in October. Their AI caught patterns in customer queries we missed—like early signals for Bridgestone Blizzak snow tires on pickups. Landed a big commercial account for 30 Firestone truck tires; revenue up 28% year-over-year on fleet services."
Tom Reilly
General Manager, Reilly Tire & Fleet Services in Chicago, IL
Simple 3-Step Process
Discovery and Data Mapping
We audit your current leads, shop data, and workflows to identify tire-specific scoring factors like vehicle profiles and service history.
Custom Model Development
Our engineers build and train the AI on your datasets, incorporating automotive nuances such as seasonal demand and local road conditions for precise predictions.
Integration and Launch
Seamlessly connect to your CRM and dashboards, then test with live leads to ensure smooth operation and immediate value in your daily tire operations.
Why We're Different
What's Included
Common Questions
How does custom lead scoring differ from standard CRM tools for tire shops?
Standard CRMs offer basic filters, like contact date or source, but they ignore tire-specific signals such as a prospect's search for 'all-terrain tires near me' or vehicle mileage indicating wear. Our AI analyzes these nuances, scoring leads with 87% accuracy on conversion potential. For a tire shop, this means prioritizing calls from drivers with SUVs in rainy regions over generic inquiries. We build it directly into your workflow, eliminating manual sorting that eats into your day. Shops report 35% faster closes, freeing techs for actual installs rather than cold pursuits.
What data does the system use to score leads in the automotive sector?
We pull from your shop's records—past tire sales, service histories, and customer interactions—plus external signals like local weather patterns affecting tire needs or online behavior indicating urgency. For instance, a lead browsing winter tires in October gets a higher score if they're within 20 miles of your bay. No generic inputs here; it's all tuned to automotive realities, ensuring predictions align with real-world demands like seasonal rushes or fleet maintenance cycles. This targeted approach cuts false positives, helping you focus on leads that drive revenue.
How long does it take to implement lead scoring for a small tire shop?
From initial consultation to live scoring, most setups take 4-6 weeks. We start with a deep dive into your data sources, like your POS for tire inventory ties. Then, we develop the model over 2-3 weeks, testing against historical leads to hit 85%+ accuracy. Final integration with your scheduling software wraps it up, with minimal disruption—often just a day's training for your team. Unlike off-the-shelf tools requiring months of tweaks, our custom build fits your exact operations, getting you results before the next seasonal spike.
Can this system handle multi-location tire shops with varying inventory?
Absolutely. Our architecture scales effortlessly across locations, scoring leads based on the nearest shop's stock—like prioritizing all-season tires at your urban bay over rural ones. It factors in location-specific data, such as traffic patterns or regional vehicle types, to assign scores. For a chain with five sites, we create unified dashboards while allowing per-shop customizations. Clients see 25% better lead distribution, reducing internal handoffs and boosting overall efficiency without the silos common in generic platforms.
What if our tire shop's lead volume fluctuates with seasons?
Seasonal swings are baked into the design. The AI dynamically adjusts scoring weights—for example, elevating urgency for snow tires in winter based on forecasts and past patterns. During low seasons, it refines long-term nurturing for repeat customers eyeing upgrades. We've helped shops manage 300% volume spikes without accuracy drops, using adaptive algorithms that learn from your data. This keeps your pipeline steady year-round, turning off-peak lulls into opportunities for proactive outreach on services like tire rotations.
Is the lead scoring system secure for sensitive automotive customer data?
Security is non-negotiable in our builds. We use enterprise-grade encryption for all data in transit and at rest, compliant with automotive standards like those for fleet records. Access is role-based—sales sees scores, not full profiles—and we conduct regular audits. Unlike cloud-dependent tools prone to breaches, our owned system gives you control, with on-premise options if needed. Tire shops appreciate this, especially when handling VIN-linked data; we've never had a compliance issue in 150+ deployments.
Ready to Get Started?
Book your free consultation and discover how we can transform your business with AI.