Final answer:
An analytical CRM is a strategy that involves analyzing customer data to gain insights and make data-driven decisions. Examples include data mining, predictive analytics, segmentation, and campaign management.
Step-by-step explanation:
An analytical CRM, or Customer Relationship Management, is a strategy that focuses on analyzing customer data to gain insights and make data-driven decisions.
It involves collecting and analyzing data from various sources, such as customer interactions, sales transactions, and marketing campaigns, to better understand customer behavior and preferences.
Examples of analytical CRM tools include:
- Data mining: Using algorithms and statistical techniques to identify patterns and trends in customer data.
- Predictive analytics: Using historical customer data to predict future customer behavior and preferences.
- Segmentation: Dividing customers into different groups based on characteristics such as demographics, behavior, or purchasing preferences.
- Campaign management: Tracking the effectiveness of marketing campaigns and optimizing them based on customer responses and engagement.