The aim of this project is to analyze job advertisement content and measure its effectiveness in attracting candidates. The system evaluates engagement metrics and provides optimization suggestions to improve recruitment marketing outcomes.
Study elements of effective job advertisement writing.
Identify engagement metrics such as views and applications.
Design database to store advertisement data.
Develop modules for recording ad performance metrics.
Implement analytics to measure engagement effectiveness.
Compare different job advertisement formats.
Create dashboards showing performance trends.
Conduct A/B testing simulations for ad variations.
Generate optimization suggestions.
Evaluate improvement in candidate response rates.
Document content strategy insights.
Propose NLP-based enhancement for future development.
