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BLfbads Stats
Analytics web app for marketing teams to analyze competitor Facebook ads based on specific keywords.
Next.js
Screenshots
About the Project
Analytics web app for marketing teams to analyze competitor Facebook ads based on specific keywords. This project was designed with an approach emphasizing process measurability, ease of use, and implementation reliability, capable of delivering real impact on work efficiency and service quality.
Key Features
- Facebook Ad Scraping β Collects competitor ad data as material for marketing strategy analysis.
- Ad Video Download β Ad video materials can be downloaded for creative evaluation by the team.
- Text-Based Video Summary β Video content is summarized into insights that can be directly used for campaign optimization.
Challenges & Solutions
- Challenge: Scraping process risks timeout on serverless architecture. Solution: Utilizing third-party scraping providers keeps data acquisition process stable.
- Challenge: Scraping providers donβt store videos permanently. Solution: Scraped videos are moved to Cloudflare for better data retention.
- Challenge: AI video summarization costs can increase sharply. Solution: Gemini model is selectively chosen based on performance and cost efficiency balance.