LeadHauler · Case study 05
Building an AI-Driven Lead Generation System for Junk Removal Businesses
Original case study: Building an AI-Driven Lead Generation System for Junk Removal Businesses
LeadHauler built a fully managed, AI-supported lead generation system for junk removal businesses seeking more predictable demand without having to run marketing themselves. The system combined Google Ads, Local Service Ads, SEO, social activity, and retargeting with AI-informed targeting and bidding. It also connected acquisition to lead qualification, SMS and email follow-up, call tracking, review automation, and cross-channel performance analysis. Rather than pursue reach everywhere, the strategy emphasized visibility in selected service areas and used performance signals to guide budget allocation and expansion decisions.
The challenge
Junk removal companies faced costly dependence on paid ads, uneven lead quality and job flow, fragmented marketing, limited revenue visibility, and little time to manage marketing or follow-up.
What the work involved
- Used AI-supported analysis to prioritize high-value locations, job types, and customer profiles while filtering low-intent leads.
- Integrated Google Ads, Local Service Ads, SEO, social activity, and retargeting into one acquisition system.
- Added automated SMS and email follow-up, call tracking, and AI-assisted messaging to support booking conversion.
- Built review-request automation and used performance data for geo targeting, spend allocation, and expansion decisions.
Documented outcomes
- Reported a 312% average lead increase across accounts.
- Higher-quality inbound leads with stronger intent.
- More consistent job flow and more predictable revenue.
- Improved close rates attributed to better lead qualification.
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