First-party audience examples:
Top beauty retailer delivers highly-targeted experiences across categories, product detail pages, and mobile menu, achieving 3.2X ROI from deep learning-based PLP personalization
Founded in 2004, e.l.f. Cosmetics launched with a simple mission to create high-quality skincare, makeup, and beauty products at an accessible price point. From day one, e.l.f. has aspired to place its customers at the core of all product and marketing decisions. So when e.l.f. sought to provide an optimal shopping experience for all, its team partnered with Dynamic Yield to help them deliver.
After first utilizing the platform’s first-party integration, recommendations, and menu personalization capabilities, e.l.f. witnessed a 4.2% increase in revenue per user and an 18% uplift in customer engagement. The team went on to leverage the technology’s Personalized Product Listing Page solution to further showcase the most relevant items and streamline the discovery process.
Once able to automatically reorder category pages using the experience optimization platform’s deep learning algorithm, AdaptML™, e.l.f. saw a 29.7% uplift in revenue per user and 3.2x ROI from the tool. Further, based on projected annual incremental revenue gain, a 13.5x return on investment is expected upon rolling out personalized sorting across all category pages.