Reduced Data Collection Time
Reduced Human Error
Doubled Data Utilization
Fast Campus, a subsidiary of Dayone Company, is an education company founded in 2014. They provide various adult education services, including online job training, B2B corporate training, foreign language training, professional know-how training, and employment-specific training.
The company has experienced significant growth, doubling its revenue each year since its establishment. In 2021, it recorded a jaw-dropping 64.2M USD in revenue, up from 31.6M in 2020, thanks to its practical educational content and up-to-date curriculum.
Fast Campus is dedicated to maintaining its market dominance in the rapidly growing adult education industry by continuously enhancing the competitiveness of its content and diversifying its services based on customer needs.
Fast Campus offers a wide range of courses in various fields and constantly adds new ones every month to ensure high-quality educational content. To promote these courses effectively to a large audience, the team launches advertising campaigns for each course, tailor the content to fit the characteristics of the medium, and utilize multiple platforms such as Meta and Google.
However, managing multiple campaigns across multiple platforms simultaneously required a significant amount of resources to manually collect data on their performance. Additionally, it was difficult to track the performance of each course in an integrated manner if there were any mistakes in the course name or inconsistent spacing. Even after aggregating the data, visualizing it was another challenge in itself.
Managing multiple courses across various fields, along with running advertising campaigns on multiple media, required significant resources for manual aggregation of ad performance data.
Fast Campus created custom folders in Adriel for each course, assigning a unique ID value for automatic categorization and aggregation of ad campaigns across multiple mediums. Adriel allows for a quick and easy glance at all ad performance for a specific course without manual aggregation, solely through the custom ID value.
Real-time ROAS is also available on a per-course basis, and the segmentation of performance by course, medium, and creative allows for deeper data analysis.
Adriel enables us to view real-time ROAS for each course, as well as segment performance by course, medium, and material, facilitating deeper data analysis.
Adriel has significantly reduced the time and effort previously required to aggregate and process scattered data, and has eliminated the need for a dedicated individual to organize ad spend across multiple media managers.
Fast Campus is currently utilizing Adriel to free up time and resources, enabling the entire team to focus on more critical tasks such as course planning, message refinement, and enhancing creative quality.
Reduced Data Collection Time
Reduced Human Error
Doubled Data Utilization
Faster Time to Insight
Advertising Platforms Centralized in Adriel
Data Processing in Excel
Data Pipelines Automated
Campaign Errors
Time Spent on Reporting