Customer Analysis

Understanding the customer is necessary to (1) gain insight into core customer behavior and (2) establish a benchmark by which we can measure changes in customer behavior driven by marketing and enhanced customer service.

 

Once customer data has been consolidated, we conduct a process we call "intelligent cross-tabs." Many insights into customer behavior can be obtained by drilling into customer data through a relatively simple analysis. This analysis can be executed quickly and efficiently, providing clients with meaningful, actionable findings and implications as early as just one week from the beginning of the analysis phase.

 

Insights derived from cross-tabs are then confirmed through descriptive modeling and graphed for further assessment. At the same time, unanticipated results are confirmed through further data investigation. Our goal is to arrive at critical interim conclusions with the data that is projectable to the future.

 

When we analyze customer data and insights, we never lose sight of our ultimate -- to drive insights that will result in marketing and service programs that will result in marketing and service programs that yield menaingful results in "real-time." Focusing on this goal ensures that we will limit our analysis to "what really matters," -- helping to manage budget and accelerate time to market.

 

Click here to learn more about: 

• Decision Trees and Interactions
  
• Segmentation and Cluster Analysis
  
• Survey Maximization
  
• Control Groups