Leading HVAC superstore AirPro Supply transformed their customer acquisition strategy by partnering with AdZeta to focus on predicted lifetime value, significantly boosting high-value contractor relationships and optimizing ad spend across their extensive product catalog.
AirPro Supply is an e-commerce superstore specializing in HVAC equipment, custom sheet metal, air conditioners, heat pumps, and related products serving both professional contractors and end-users. Their business model focuses on competitive pricing, extensive inventory, and technical expertise for complex HVAC installations.
With a diverse customer base spanning one-time DIY purchasers to recurring professional contractors, AirPro found standard ad metrics (CPA for first purchase) didn't identify which customers would become high-value recurring buyers versus one-time purchasers, making sustainable growth challenging.
Relied on optimizing Google & Meta ads for initial equipment sales or website visits, leading to unpredictable customer retention and difficulty scaling profitable customer acquisition across their extensive product catalog.
AdZeta implemented its Predictive AI to forecast customer LTV from initial interactions, enabling Value-Based Bidding focused on acquiring high-potential contractors and repeat purchasers rather than one-time buyers.
Leveraged first-party data to train LTV models, then integrated predictive signals with Google (tROAS) and Meta (Value Optimization) campaigns. A/B tested against previous strategy with specific focus on contractor segments.
Secured a 3.8x increase in contractor retention while reducing customer acquisition costs by 45% for high-value segments, all thanks to AdZeta's predictive LTV insights.
How traditional HVAC e-commerce advertising often fails to identify and efficiently target high-value contractors, leading to wasted budget.
HVAC e-commerce businesses spend millions on customer acquisition with no way to identify which buyers will become recurring purchasers. This leads to wasted ad spend on one-time DIY customers and missed opportunities with high-value contractors.
Conventional ROAS metrics are limited to initial purchases, making it impossible to optimize for customers who will generate the most lifetime value through recurring orders and larger project purchases.
Even companies with robust data warehouses struggle to turn their customer purchase data into actionable insights for smarter bidding strategies across their diverse product catalog.
We developed custom machine learning algorithms analyzing AirPro's 120+ customer behavior signals (purchase history, product categories, order frequency, technical documentation downloads) to predict future LTV with high accuracy (e.g., 91%).
Our platform automatically adjusted bids on Google & Meta based on this predicted customer LTV, not just initial conversion likelihood, ensuring higher bids for potential contractors and recurring purchasers.
We integrated marketing, customer, and revenue data to create a complete view, then seamlessly passed predictive LTV signals to ad platforms via API for real-time optimization across product categories.
AdZeta's system continuously learned and improved, automatically adapting bidding strategies as customer behavior patterns and seasonal HVAC demand fluctuated for AirPro.
AdZeta's predictive LTV targeting didn't just optimize performance—it transformed how AirPro Supply acquires and retains contractors. By prioritizing long-term value over short-term wins, the company attracted a higher-quality contractor base that fueled consistent revenue and scalable growth.
With better targeting and confident ad scaling, every marketing dollar worked harder—delivering not just leads, but loyal, profitable customers.
If you're looking to move beyond basic ad metrics and build a truly profitable, scalable customer acquisition engine, AdZeta's Predictive AI and Value-Based Bidding can help.