Marketing and Merchandising Optimizer for E-Business
Imagine knowing more about your customers' needs than they themselves know. Or, having a detailed understanding of how customers view your products. Or, being able to deploy new products so fast your customers will be amazed.

Now imagine this can all be accomplished without questionnaires, focus groups or other intrusive, costly research.

Detailed behavior histories generated by Recommender systems can provide unparalleled marketing intelligence to help manage e-businesses.

Tracking and analyzing customers' reactions to recommendations, and their overall interactions with Recommender systems, helps develop crucial consumer behavior and preference insights. By 'listening in' on the 'conversation' between the customer and the system, the Marketing and Merchandising Optimizer gleans unique Marketing Intelligence. There is currently no other Internet based source of consumer preference data that can provide deeper insight into customer needs.

Sample reports include:

Merchandising: Product Placement Optimizer
Product placement on e-commerce sites is a crucial driver of conversion. The Merchandizing Optimizer tells you where customers expect to find certain product. By mapping starting points (how the customer initially articulates his needs) against final results, Product Placement Optimizer helps e-merchants understand how to increase sales by improving product placement. This helps marketers understand the way consumers relate and react to their product assortment and merchandising strategies. Recommender provides insight on the way customers' perceive their needs and how best to modify sales communication over time.

Marketing: New Product Opportunities
Marketing Optimizer can signal new product opportunities BEFORE customers tell you. By watching how customers move through your product line, Optimizer can identify holes in your product-line before your customers do.

Browser-to-Buyer Conversions
How many visitors become customers? What are the factors that drive conversion?

Browse-to-Bail and Interactivity Reports
By tracking the users' 'conversations' with the system, matched against recommendation paths and departure information, Recommender's Reporting and Analysis can provide critical insight into what is needed to close more sales.

Clicks-to-Buy Bundle
Aggregate and individual preferences are collected and compiled to understand ways of reducing the number of clicks to buy. System improvements and merchandising and marketing mix all are impacted by this key data bundle.