Automation in Brand Advertising Testing and Monitoring to Enhance Efficiency and Quality

This project details the implementation of automation solutions to address challenges in brand advertising testing, including low efficiency in manual regression testing, time-consuming data construction, and insufficient proactive issue detection. By integrating automated testing frameworks, real-time monitoring systems, and data automation tools, the initiative achieved significant improvements in operational efficiency and product quality.

The solution covers three core areas: line-down automation (data construction, API/engine regression testing, ad validation), line-up monitoring (real-time issue detection and mitigation), and data automation (second-level ad deployment). Specific achievements include 80%+ coverage of online ad issues, 100% coverage of core functionality regression testing within 30 minutes, and 90%+ automation of ad data preparation.

Key components developed include an ad monitoring platform, mock platform, API automation framework, engine functionality automation framework, and ad deployment tools. The project also outlines future plans for expanding coverage to search advertising, intelligent marketing, and DevOps integration.