AI Customer Data Firm Drives 200% ROAS, 50% Higher Engagement & $450K Annual Revenue with RAG-Powered Segmentation

Industry: AI, Customer Insights

Client

Innovative AI Firm Specializing in Customer Data

Goal

To enhance customer insights and improve segmentation for targeted marketing by developing a sophisticated AI-powered tool capable of processing large volumes of customer data.

Challenges

  • Developed a RAG inference engine to enable dynamic customer segmentation with AI-driven personas.
  • Designed an automated ETL pipeline using unsupervised clustering for targeted marketing strategies.
  • Built a Customer Lifetime Value (CLV) prediction model to enhance revenue forecasting and customer insights.

Solution

Delivering effective Data & AI training across multiple regions (MENA, Europe, London) for the FinTech sector.

Implementing an AI-powered customer insight platform that could handle large volumes of data and integrate with Edge technology.

Automating customer service inquiries while maintaining high customer satisfaction and operational efficiency.

Impact:

Increased Return on Ad Spend (ROAS) by 200%, significantly boosting client ROI and demonstrating the power of AI-driven customer segmentation.

Enhanced customer engagement by 50% through interactive, AI-driven synthetic personas, surpassing traditional static data visualisation methods.

Contributed to a $450K annual revenue increase through the deployment of AI-powered segmentation and insights.

Secured $4M in seed funding, accelerating business growth, product development, and the company’s market position.

*Case studies reflect work undertaken by our Heads of AI either during their tenure with Head of AI or in prior roles before they were part of the Head of AI network; they are provided for illustrative purposes only and are based on conversations with our Heads of AI.