We are looking for an experienced freelancer to build a robust AI-based customer segmentation solution that will empower our business to deliver hyper-personalized experiences, boost marketing ROI, and increase customer satisfaction. The goal is to leverage advanced machine learning algorithms to analyze our data, identify meaningful customer segments, and provide tailored insights for smarter marketing decisions and campaign targeting.The ideal candidate will guide us through every step, from discovery to deployment, ensuring a solution that integrates with our workflow and scales with our needs. Projects like Zara’s AI-driven retail segmentation and Amazon’s real-time personalization showcase the impact and measurable results we expect, including superior conversion rates and increased customer lifetime value.
Key responsibilities:

• Analyze business goals and curate relevant customer data sources (CRM, web, social, purchase history)
• Select and implement AI algorithms (e.g., K-means, hierarchical clustering, LLMs) for segmentation
• Build dynamic customer profiles for actionable cohort analysis and predictive targeting
• Integrate visualization and reporting tools for segment insights and performance tracking
• Ensure data governance, compliance, and privacy standards are met
• Train team members in using and interpreting segmentation outputs
• Advise on best practices for data integration and ongoing optimization

We welcome proposals with a portfolio, outline of past segmentation projects, and details on methodology. Please highlight experience with retail, financial, or SaaS sectors if applicable.