The Data Analytics Blog

Our news and views relating to Data Analytics, Big Data, Machine Learning, and the world of Credit.

A Customer Engagement Solution To Answer Your Business Questions

Answer your business questions with advanced business decisioning using DecisionSmart scoring, segmentation and decisioning engine to provide segmentation, scores and decisions based on your business data, and Agent X call centre virtual assistant to display information visually for optimal call centre agent performance.

Meet Agent X – Your Call Centre Virtual Assistant

 Meet Vusi, a call centre agent, with call centre agent struggles. He needs to keep his customers engaged while he shifts between various systems to find the information he needs to meet his manager’s expectations of consistent, successful call outcomes.

How Scorecards Can Be Used To Determine Customer Loyalty

The right customers are important for every business. Marketing to and serving customers who are not profitable removes your focus from your best customers and ensuring they remain loyal to your business. (Click to Tweet!) Scorecards can help you identify and focus on your ideal customers by ranking your customers by the common criteria historically shown to be shared by your best customers. 

Three Lessons From Great Digital Customer Growth Strategies

According to Marketing Metrics: The Definitive Guide to Measuring Marketing Performance, the probability of selling to a new prospect is 5 to 20%, while the likelihood of selling to an existing customer is 60 to 70%. Your customer growth strategy is an easy way to grow your bottom line and improve your revenue. 

Using Data Analytics to Predict Churn

According to this article by Frederick F. Reichheld in the Harvard Business Review, the average company loses about half its customers in a five-year period. When customers see a loss of value, they churn. The ultimate goal of a great loyalty strategy is to increase the perception of your solution’s value in the eyes of your customer, exactly when you need to. To achieve that, you need to be able to predict churn, many in the industry turn to leading (or lagging) indicators to indicate where efforts need to be focused.

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