Customer Management Solutions
Customer Management Solutions are designed to strengthen and secure the bond between companies and their existing clients. To uncover the potential of different consumer segments, we use a combination of our qualitative and quantitative capabilities such as clustering based on contextual research.
Retain Your Customers via Churn Prediction
This modeling study is a powerful way to identify the type of consumer who will lose interest in a brand or a mobile application. It will allow us to identify and work on points where improvement is required.
Sustain Loyalty with An Efficient Reward System
We conduct Reward System Assessments to have an in-depth idea about how our client’s loyalty programs work and how to make them more impactful.
Cluster Your Actual Buyers
These approaches provide a data-driven segmentation option for effective targeting strategies. Our clients’ specific challenges guide our methodological approach. The RFM (Recency, Frequency, Monetary) study aims at identifying critical customer groups depending on the recency, frequency, and monetary value of their purchases. Furthermore, using ML techniques such as clustering, we can discover similar customers’ groups based on finding the smallest variations among customers within each group. Moreover, we use Consumer Value Targeting to assign different values to customers by considering their monetary or volumetric contribution to sales for optimizing our clients’ resources. Web Analytics Segmentation gives us a completely different perspective, where we organize groups according to website users’ behavior. The main goal of all these segmentation studies is achieving more effective customer marketing via personalization.
Let’s Discover Together
Develop a roadmap to unlock the real value of your brand.