The Challenge

A pest control agency was struggling to scale its lead generation efforts effectively. Their previous campaigns produced inconsistent results, with high costs per lead and low engagement rates. The agency needed a data-driven approach to identify the most effective ad creatives, audience segments, and messaging to drive quality leads at a lower cost.

Our Solution

To address this, we implemented an Ad Set Budget Optimization (ABO) strategy with rigorous A/B testing at the Top-of-Funnel (TOF) stage. We tested multiple creatives, ad copies, and targeting variations to determine the best-performing combinations. By leveraging a structured testing framework, we identified the highest-converting audience segments and optimized budget allocation accordingly. This strategic approach helped us eliminate underperforming elements and focus on the most effective ads.

The Results

The campaign delivered 173 leads at an impressive cost per lead of $4.06. With an ad spend of $701.75, the campaign reached 14,630 users, generating 37,412 impressions. This ABO testing approach significantly improved lead quality and reduced acquisition costs, proving that structured experimentation and data-driven optimizations can transform lead generation for pest control businesses.