Scaling a Lingerie Store in the USA

This case study analyzes the performance and scaling strategy for a US-based e-commerce brand. By moving away from inefficient historical targeting and focusing on data-driven funnel optimization, we achieved significant growth in January 2026.

January 2026 Performance Metrics

The account demonstrated high efficiency and strong purchase intent across the entire month.

• Total Ad Spend: $16,695.19
• Total Sales Revenue: $57,224.07
• Average Account ROAS: 3.43x
• Total Purchases: 655
• Average Cost Per Purchase: $25.49
• Add-to-Cart (ATC) Value: $250,470.74

Strategic Execution: How We Increased Sales

To drive these results, we implemented a structured strategy focused on three key pillars derived from the data:

1. Aggressive Top-of-Funnel (TOF) Acquisition We identified that Top-of-Funnel campaigns were the primary engine for new customer growth. By allocating the majority of the budget here, we maintained high efficiency, with individual TOF campaigns reaching a 4.71x ROAS. This ensured a constant stream of fresh traffic into the store.
2. Capturing High Purchase Intent The strategy focused on “warm” leads. While we generated $57k in direct sales, we built a massive pipeline of over $250,000 in Add-to-Cart value. By tracking these high-intent users, we were able to lower our cost per action to just $2.26 across the account.
3. Seasonal Scaling & Stability As the month progressed into the Valentine’s Day shopping season, we scaled budgets on winning ad sets. This allowed us to maintain a stable 3.43x average ROAS even as total spend increased to over $16,000. We focused on campaigns that delivered consistent results, with peak performers hitting 4.11x and 4.09x ROAS.

Conclusion

By prioritizing Top-of-Funnel efficiency and maximizing the value of Add-to-Carts, we successfully scaled the brand to nearly $60,000 in monthly revenue. The high volume of initiated checkouts (961) and purchases (655) proves that the current strategy is primed for continued scaling in the US market.

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