Knowing the Customer
To truly understand and satisfy your customers, it’s essential to view their needs and behaviors within the broader context of their actions, social status, communication and more.
This kind of in-depth customer analysis falls under the umbrella of Machine Learning Segmentation—a powerful approach that reveals the full picture behind customer behavior.
Once we can accurately determine which group or segment a customer belongs to, we can begin analyzing patterns and differences across customer segments. This insight enables more personalized communication, better-timed service delivery, and ultimately, higher customer satisfaction.
Having spent years developing scoring models, managing underwriting processes, portfolios, and customer segmentation strategies, we’ve observed that applying the right methodology for customer understanding is not just beneficial—it’s essential for driving the next stage of a company’s growth.
AI Segmentation System
At AIGEN, we developed a Fully Automated Segmentation Tool Driven by AI – STAI – designed to deeply understand customers and uncover hidden behavioral patterns that are often overlooked in traditional approaches.
STAI is trained on any data type transformed by FAI and delivers a wide range of insightful visualizations and calculations, such as Profitability breakdown by customer segments, Time-to-response analysis per segment, Product and service preferences.
In addition, STAI analyzes the stability of segments over time, identifying whether customers are migrating between segments, becoming disengaged, or exiting the company entirely. This dynamic view allows for proactive customer management and retention strategies.
We are ready to deploy and train STAI using your data, within a flexible and timely framework. As an interactive and user-friendly tool, STAI allows you to easily fine-tune and optimize the results to align with your specific goals—whether they are improving customer satisfaction, increasing loyalty, or boosting profitability.