Case Study
Our success stories with different brands demonstrate the transformative power of data and AI in various industries
Deriving Insights from Data
About the Client
Our client operates within the technology industry, offering a diverse range of products and services primarily through online platforms. With a broad customer base, the client sought DataCouch’s expertise to optimize their customer retention strategies through data science techniques.
Understanding the Challenge
Implementation by DataCouch
- Data Collection and Preprocessing
- Collaborated to gather relevant customer data, ensuring accuracy and consistency through rigorous preprocessing.
- Exploratory Data Analysis (EDA)
- Uncovered patterns, trends, and correlations within customer data to understand segmentation and behaviour.
- Customer Churn Prediction
- Employed advanced machine learning models to predict churn accurately, based on historical data.
- Customer Segmentation
- Utilized clustering algorithms to segment customers based on behaviour, preferences, and lifetime value.
- Customer Lifetime Value (CLV) Prediction
- Developed predictive models to estimate CLV, enabling prioritization of high-value customers and effective resource allocation.
- Retention Strategies
- Designed targeted strategies, including personalized marketing campaigns and loyalty programs, based on churn prediction and CLV estimation.
- Value Enhancement for Low-CLV Customers
- Recommended interventions such as upselling opportunities and personalized offers to enhance value for low-CLV customers.
