The Business Challenge/Situation
The research was conceptualized to understand the Churn Drivers and factors influencing defection within the Manufacturers customer base. The Objective of the study was to conduct a Churn Analysis to successfully detect the underlying churn drivers and build enduring loyalty and retention.
Approximately 300,000 transactional data over 3 years was provided including the following information:
- Transaction Type
- Previous Vehicle info
- New Vehicle Info
- Demographics
- Psychographics
- Financing details
- New vehicle Addition or Replacement
- Repair History/Warranty data
- Programs Incentives at time of purchase
- Customer satisfaction index from Survey conducted previously
Market Equations Role
Analyze data to identify the drivers of Customer Loyalty, Conquest and Defection and address the following questions:
- Why are customers staying?
- Why are customers leaving?
- Why are new customers coming?
In addition:
- Are there any demographic patterns or trends?
- What is the impact of incentives on the market?
- Is it different by customer segment? Model segment?
Various proprietary analytic tools were applied on the demographic, and purchase data - their expectations, satisfaction levels, demographic & geographic & psychographic tendencies, etc. The Process was initiated with the ETL function, cleansing and creation of Data Marts. Once this was done, an in-depth Analysis of the data using trend and segmentation was conducted to detect patterns and profile customers based on loyalty, Conquest and Defection. A segmentation model was applied to validate the hypothesis. A reliable model was built and validated to provide the customer the required intelligence to take decisions through corrective action.
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Client Impact:
Based on these results, the Manufacturer could take corrective action by understanding the key triggers that caused customer defection. The necessary steps to implement the anti-churn strategy was clearly available through the results of the Analyses.
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