Our customer analytics solution is a framework that gives you valuable insights into your customers profile, disposition, and behavioral patterns. The different questions we help you answer include:
Customer Scoring models:
Models to score your customers based on multiple profile, behavioral, and disposition parameters that allow you to get a more complete view of who's valuable, and why. Scoring models also help in segmentation and trend tracking.
Clustering and segmentation:
Clustering and segmentation models help you identify similar customers on various attributes (behavioral, profile, attitudinal) and also isolate the dissimilar ones. A good model helps you build up a clear description of your consumer segments that you can take business decisions with.
Churn models:
Churn models help you predict which of your customers are most likely to leave you. The model can cover basic tracking of defections to establish how leaky your customer bucket is, and then also using statistical techniques to predict the likelihood of churn of existing and new customers.
Response models:
Often derivatives of scoring and segmentation models, response models help you isolate clusters of customers most likely to respond to a campaign.
Customer valuation:
Customer valuation metrics use lifetime value and other relationship marketing concepts to build an assessment of the value of your customer base.
Satisfaction and loyalty indices:
We help you create intelligent metrics for customer satisfaction and loyalty measurement. Based on behavioral and dispositional indicators, we help you assess the impact of your sales and marketing efforts on customer loyalty.
Exception reporting:
Our exception reporting models are early warning systems set up to help you identify aberrant behavior amongst customers. Fraud detection, churn of high value customers, data and system errors form part of our exception reporting.