Ling Skincare, founded by esteemed celebrity esthetician Ling Chan, epitomizes the pinnacle of anti-aging excellence in the USA, deeply rooted in the Asian traditions of meticulous exfoliation and hydration. Her products, renowned for their ability to balance and rejuvenate, seamlessly blend innovative science with traditional Asian botanicals, offering a comprehensive approach to preventative skincare.
Our biggest challenge was capturing the attention of
our target audience in a highly competitive skincare
market, where acquiring new customers is both difficult and expensive. We tested different strategies including Search and Shopping ads, but struggled with a low Return on Ad Spend (ROAS), making it clear that we needed a more effective approach to stand out.
Primary Objective: Our main goal was to boost conversions and the return on ad spend (ROAS) from our campaign, while also keeping costs under control.
Secondary Objective: Reduce the Cost per Acquisition(CPA).
We implemented a Performance Max (pMax) campaign, which uses Machine Learning to optimize ad delivery across all Google platforms. This automated approach allowed us to increase sales efficiently
and align with our goals. To ensure scalability and reach, we developed a variety of creative assets, including text, images, and videos.
In addition, we took advantage of the November holiday season by introducing attractive offers that encouraged higher average order values. This approach not only helped us draw in new customers but
also aimed to retain them for future purchases.
Results
Testimonial
This case study demonstrates how combining Machine Learning, creative customization, and holiday
promotions can successfully navigate a competitive market, delivering strong results and improving
overall campaign profitability.
