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Laura Geller Beauty struggled with skyrocketing ad costs and shifting consumer behavior. Competition in the beauty space was intense, and data privacy changes made precise targeting harder. Campaign algorithms started underperforming, leading to higher customer acquisition costs (CAC) and unpredictable return on ad spend (ROAS). The team needed a way to reduce wasted spend and reach buyers primed to purchase without adding complexity or dev time.
We combined Shopify Audiences and Shop Campaigns to solve both targeting and execution hurdles. Shopify Audiences taps first-party data across thousands of stores to create lists of high-intent shoppers. Shop Campaigns puts products in front of Shop app users with a mobile-friendly ad experience. Together they offered a streamlined path to new customers on platforms the brand already used.
Within minutes, Laura Geller Beauty’s marketing team synced audience segments to Meta and TikTok ad accounts. They tested multiple lists by intent level—broad vs. narrow—to see which delivered the best CAC and ROAS. On the Shop app, they set objectives around new-customer acquisition and holiday‐season reengagement, controlling daily budgets and bid targets directly in Shopify’s dashboard. No custom dev work was needed, cutting weeks off a typical setup timeline.
Shop Campaigns drove a 140% year-over-year revenue jump while holding ROAS targets steady. Average order value climbed by 5% as mobile shoppers discovered new product bundles. Shopify Audiences lists reduced CAC by 15% and improved ROAS by 6%, all without bloating ad budgets. The quick results and frictionless integration freed the team to keep testing and scaling where performance was strongest.
High‐intent segmentation and a mobile‐first ad channel can reshape acquisition economics. When first‐party commerce data is baked into your ad strategy, you get a leaner burn rate and more confident budget decisions. And if setup doesn’t require custom code, marketing teams can iterate and optimize in real time—no dev backlog needed.
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