Beauty Brand Meta Ads Case Study - 6.2x ROAS
A beauty e-commerce brand with a strong product but an underperforming Meta account. We rebuilt the account structure around purchase conversion, introduced systematic creative testing, and brought cost per purchase down consistently while growing revenue at a strong and sustained rate.
Overview
This meta ads case study follows a beauty brand that had been running Meta campaigns with inconsistent purchase volume and a rising cost per purchase. The account was spending on reach and engagement objectives that looked active but weren't converting. We audited the account, cut everything that wasn't tied to purchase, and rebuilt the structure around a systematic creative testing cycle. Cost per purchase dropped quickly, and the rebuilt account delivered strong and sustained revenue growth almost immediately.
The Challenge
The account had too much spend allocated to upper-funnel campaigns that generated impressions and engagement without contributing to purchase volume. Creative assets had never been tested with a clear methodology, so there was no understanding of which hooks, formats, or angles were actually driving sales versus just looks. Cost per purchase had been trending upward for several months before we took over.
Our Approach
We rebuilt the account around a single objective: profitable purchase growth. Every campaign, audience, and creative decision was evaluated against purchase cost and ROAS.
- Full account audit: paused all non-purchase campaigns and identified profitable ad sets
- Rebuilt account structure with clean separation between cold, warm, and retargeting
- Systematic meta ads creative testing with new concepts evaluated against purchase cost weekly
- Dynamic product retargeting for cart abandoners and product page viewers
- Lookalike audiences built from verified purchaser data
Execution
The first phase was a full audit and rebuild. We identified the ad sets generating purchases at a cost well within profitable thresholds, paused everything else, and isolated the top performers to understand what creative and audience variables were driving results. An iteration cycle was built around the winning ad set, with new creative concepts tested weekly and clear decision rules: scale if purchase cost stayed below target, cut if it didn't.
Retargeting sequences were rebuilt with product-specific creative for viewers and a dedicated cart abandonment flow. Cold audience campaigns were scaled gradually, triggered by consistent days of hitting target ROAS rather than arbitrary budget increases.
The Results
The beauty brand meta ads results speak for themselves: from the first days the rebuilt account went live, attributed revenue was growing consistently at a strong ROAS. Our focus on reducing cost per acquisition through Facebook ads paid off immediately, with cost per purchase falling significantly compared to the period before the rebuild. The account moved from inconsistent purchase volume driven by guesswork to a predictable purchase cadence with a clear creative testing pipeline feeding it.
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