Ocurate, a pioneer in machine learning for customer value prediction, has achieved remarkable success in enhancing the efficiency of customer acquisition for Curology, a frontrunner in the skincare e-commerce sector. Utilizing its cutting-edge machine learning technology, Ocurate has propelled Curology's return on ad spend (ROAS) by an outstanding 16%. This breakthrough underscores the transformative potential of machine learning in addressing the pervasive challenge of low and unpredictable ROAS in digital marketing.
Tobias Konitzer, CEO and Co-Founder of Ocurate, highlighted the significance of this achievement, emphasizing the technology's role in revolutionizing the consumer industry. The success was demonstrated through a randomized experiment in Curology's Google non-brand search advertising campaign, where Ocurate's solution not only improved ROAS but also significantly boosted profits. Tassilo Festetics, CFO of Curology, acknowledged the profound impact of Ocurate's technology on the company's financial performance, noting its unparalleled effect on the bottom line based on 2023 revenue data.
At the core of Ocurate's solution is the integration of unique first-party customer data with advanced machine learning algorithms. This approach enables the prediction of per-customer revenue with over 90% accuracy by analyzing real-time behaviors of prospects and matching them with the customer value of similar, recently acquired customers. The seamless integration of these predictions with major ad platforms like Google and Meta through Ocurate's infrastructure allows for the optimization of customer acquisition costs in real-time auctions. By enhancing value-based bidding technology, Ocurate has set a new standard for ad campaign efficiency in the consumer brand sector.
