This project focuses on building a system that segments candidate databases based on skills, experience, and demographics. The system supports targeted recruitment marketing campaigns, improving engagement rates and sourcing efficiency.
Study market segmentation techniques in marketing.
Identify candidate segmentation attributes.
Design database for storing candidate profiles.
Implement segmentation logic using clustering techniques.
Develop modules for targeted campaign planning.
Create dashboards for segment performance analysis.
Compare engagement rates across segments.
Conduct simulation of targeted marketing campaigns.
Analyze response trends using statistical tools.
Generate segmentation performance reports.
Evaluate marketing efficiency improvements.
Document potential AI integration features.
