F・O・International faced the challenge of fragmented customer data scattered across various online and offline sources, hindering their ability to gain a comprehensive view of their customer base. To address this issue, F・O・International used AIRIS, an AI-powered customer data platform. AIRIS swiftly unified first-party customer data from F・O・International's website, bridging the gaps in their scattered data sources. With AIRIS, real-time analysis of customer behavior became effortless, featuring intuitive visualizations such as Attribution Reports and Customer Journey Analysis.
By implementing AIRIS, F・O・International not only solved their data bosnia and herzegovina phone number data fragmentation challenge but also gained the capability to unify and enrich user profiles. This unified platform enabled them to explore potential business opportunities with a more profound understanding of their customers. AIRIS emerged as the solution that consolidated their customer data, as well as empowered F・O・International to make data-driven decisions, marking a pivotal step in their marketing journey.
Realization of Personalization and Conversion Maximization with AIQUA
F・O・International grappled with the challenge of delivering a personalized customer experience using various communication channels while simultaneously increasing conversion rates. To address these challenges, F・O・International embraced Appier's AIQUA, an AI personalization cloud designed for personalized marketing and cross-channel engagement. With AIQUA, F・O・International could provide an individualized customer experience across multiple communication platforms, including email, push notifications, SMS, LINE, and in-web pop-ups.
One of AIQUA's standout features is its advanced recommendation models, which proved to be a game-changer and revolutionary. Leveraging AI recommendation models, F・O・International was able to provide an end-to-end personalized experience for their customers. The recommendation of AIQUA overwhelms traditional recommendation models, employing various product recommendation models that intelligently analyze different user behaviors. For instance, when customers visited the home page of the website, AIQUA seamlessly implemented the 'Popular Product Model,' showcasing the most sought-after products based on a carefully selected event, such as 'product_purchased.' Similarly, when customers explored the product page, AIQUA expertly employed the 'Recommended for You' model, highlighting products frequently viewed by individuals with similar behavioral patterns.