CRM Marketing Analytics

CRM analytics can provide :

·      Customer segmentation groupings (for example, at its simplest, dividing customers into those most and least likely to repurchase a product);

·      Profitability analysis (which customers lead to the most profit over time);

·      personalization (the ability to market to individual customers based on the data collected about them);

·      Event monitoring (for example, when a customer reaches a certain dollar volume of purchases);

·      What-if scenarios (how likely is a customer or customer category that bought one product to buy a similar one);

·      And predictive modeling (for example, comparing various product development plans in terms of likely future success given the customer knowledge base).

Web Site personalization: There are a number of personalization software products available, including those from Broadvision, ResponseLogic, and Autonomy.

In addition to use of the cookie, the technologies behind personalization include:

• Collaborative filtering, in which a filter is applied to information from different sites to select relevant data that may apply to the specific e-commerce experience of a customer or specific group of customers
• User profiling, using data collected from a number of different sites, which can result in the creation a personalized Web page before the user has been formally
• Data analysis tools used to predict likely future interactions