Across businesses, Churn can occur anywhere in the customer life cycle. This means that every touch-point with customers provides an opportunity to increase customer loyalty. At 6dtech, we take a comprehensive view of various factors leading to Churn, ensure that each contact point is evaluated as an opportunity to reduce churn - right from acquisition to termination and potential win-back.We have the industry expertise and technology know-how to help you improve profitability across all customer segments
Our Churn management framework is a multi-faceted solution that manages customer attrition and provides enhanced CEM. It is an advanced end to end solution that helps identify reasons for customers’ churn, and build decision models to predict churn, minimize it and retain profitable customers. Our framework allows you to churn pilot programs to help prove concepts, identify tangible improvements, and produce quick wins that build impetus for future initiatives & Migrate to more sophisticated initiatives at your ownpace, while achieving low-cost, high-value financial benefits.
We integrate four key disciplines in our churn management framework:
1) Customer information management and strategy development: Ensures that customer demographics, customer segmentation, predictive modelling and data mining techniques result in differentiated strategies that are relevant to the individual customers
2) Customer contact management: Ensures that these differentiated strategies are consistently implemented through individual or multiple integrated channels.
3) Value proposition creation: Ensures creation of specific, measurable and sustainable value creation for customers, clearly articulate target customer segments, specific timeframes and the value proposition to please them.
4) Customer operations: Ensures you are able to analyze customer billing details, revenue, call usage and other data points to create individualized customer profiles, strategies, up-selling and cross-selling opportunities to improve profitability and customer retention
Exhaustive churn prediction models and algorithms
Multiple techniques for data cleansing and preparation
Real time monitoring of the Customer behavioural data records.
Easy to use graphical interface for tuning the model
Detailed graphs and charts showing the analysis and outcomes
Recommendations based on the churn propensity score with severity index