Case Study
Improving Customer Retention with Machine Learning
Automated data-driven pricing strategies to optimize revenue and enhance customer retention
Client wanted insights into customer retention and pricing
- The client faced difficulties in reducing the time needed to uncover business insights due to the structure of their existing data platform.
- Client engaged Valent to provide insights into factors driving customer retention and develop an application that would enable data-driven decisions by business users.
Developed UDM, analyzed, and predicted retention using machine learning
- Developed a Unified Data Model (UDM) that consolidated the data to draw insights from into a single source.
- Generated correlation heatmaps to pinpoint which features had the strongest correlation with customer retention.
- Trained machine learning models to predict customer retention, uncovering hidden correlations not detectable through common statistical methods.
- Used advanced analytics to reveal how specific demographic factors influence retention, providing deeper insights for strategic planning.
Automated data-driven pricing strategies to optimize revenue and enhance customer retention
- Client can examine the performance of retail store locations across various dimensions and make highly targeted improvements
- Client can visualize how changes to product pricing will impact revenue and customer retention
- Client can now create highly tailored and effective sales and marketing touchpoints with customers
For Businesses
You have a goal.
We’ll get you there.
If your organization is interested in finding ways to improve your performance, profitability and growth, or leverage AI for transformational outcomes, we can help. Contact Valent Partners today to arrange a consultation on the challenges you face.
