
Spreadsheet Data Automation Solution: How to Improve Marketer Efficiency
Every marketer faces the same dilemma every morning.
Checking the performance data of campaigns conducted yesterday across various media and organizing it into a spreadsheet to share with clients.
However, this process is not only repetitive but also time-consuming.
By utilizing spreadsheet automation features, you can significantly reduce this workload.

Why is Spreadsheet Automation Necessary?
Spreadsheets are a core tool for many marketers to manage and analyze data.
However, manually entering and updating data every day decreases efficiency.
Especially for data that changes frequently in real-time, like campaign performance, automation becomes crucial.
Automation solutions create an environment where you can focus more on core tasks (data analysis, campaign planning, etc.) instead of repetitive work.

Key Features of Pango Spreadsheet Automation Solution
Integration with Various Media: Automatically link performance data from various advertising channels such as Google, Meta, Naver, Kakao, etc.
Utilize Existing Templates: Marketers can continue to use the spreadsheet templates they originally used.
Specify Update Scope: Automatically update only the necessary parts.
Set Update Schedule: Automate based on desired days and time slots.
The Pango solution retains the spreadsheet format that marketers have been using while automatically linking the latest data.
Core Benefits for Practitioners
✅ Time Savings: Focus on core tasks (data analysis, campaign planning, etc.) instead of repetitive work.
✅ Increased Data Accuracy: Minimize human errors in data entry through API integration.
✅ Support for Quick Decision-Making: Quickly share campaign performance with clients through real-time data.
Changes After Implementation
In fact, many advertising agencies are automatically updating campaign performance data daily after implementing the Pango solution.
Thanks to this, marketers can focus on core tasks like performance improvement and campaign design instead of repetitive work, and clients can make quick decisions based on the latest data.