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Customer Insight is the intersection between the interests of the consumer and features of the brand. Its main purpose is to understand why the consumer cares for the brand as well as their underlying mindsets, moods, motivation, desires, aspirations, and motivates that trigger their attitude and actions.
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Firstly, the collected data must be audited to fully understand the quality and opportunity within the database. Once this is done, there are a number of different types of analysis that can be applied.
Impact Assessment will help a business to understand how actions taken by the business affected their customer behavior, and also allow for some predictions of customer reaction to proposed changes.
Propensity Modelling predicts the future behaviour of customers based on previous actions and helps businesses understand how likely it is that a customer will behave in a given way.
Cross-Sell Analysis identifies product and service relationships to better understand which are the most popular product combinations. Any identified relationships can then be used to cross-sell and up-sell in the future.
Critical Lag allows a business to deliver specific customer communications based on the individuals purchase patterns, helping to increase loyalty and improve customer retention.
- Tucciarone, Kristy (2007). "Vying for Attention: How Does Advertising Affect Search and College Choice?". College and University: 26–39.