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Pixocial leverages Google Cloud BigQuery to boost business development

Customer background

Pixocial completed its financing in 2023 through top global investors. Its mission is to make AI technology accessible to the public, enabling everyone to access exquisite digital art. Pixocial is committed to the forefront of GenAI applications, providing cutting-edge AI creative solutions and many excellent products for individuals and enterprises worldwide. These products include BeautyPlus, AirBrush, Vmake AI, etc. It is these products that enable users to have a better experience and more fun in scenarios such as photo editing, content generation, and video editing.

Business requirements and challenges

  • The rapid growth of the Pixocial business has led to a large number of users, but it has also encountered bottlenecks. After the number of users reaches a certain level, the growth becomes extremely slow. How to improve it has become an urgent problem to be solved.
  • Facing issues such as the surge in data and the decentralization of data storage, self – built big data clusters are not flexible enough in expansion. A large amount of human resources are required to ensure the stable operation of the data analysis platform. Moreover, as the amount of data continues to grow, the data query speed drops significantly.
  • With the help of the Retail API, users can obtain their favorite content more quickly, and the content recommendation better improves the user retention rate.
  • Through Looker + BigQuery, a powerful and unified BI Engine is provided, enabling the operations side to analyze user behavior data more real – time, saving a great deal of time for data analysis, and providing faster and more accurate data support for the company’s strategies and marketing activities.

Business architecture

Customer benefits

  • Use BigQuery to analyze user data from various platforms, understand user preferences, create player profiles, achieve more precise dimensional push, and improve user retention rate.
  • By combining BigQuery with the Retail API, we can understand user behavior in real-time, gain a better understanding of each user’s usage habits, and thus use the Retail API to recommend content and editing templates that better match users’ intentions.
  • With the data compliance policy of Google Cloud, users’ data is better protected.
  • By using Looker to display reports on business scenarios such as user segmentation, event analysis, and conversion analysis, one can gain a quicker understanding of the overall business situation and adjust the business orientation in a timely manner.