Runa tracks detailed consumer behavior and uses real-time analytics to offer the consumer personalized time-limited Dynamic Special Pricing for the product of interest to the consumer. The process includes the following steps:

• Tracking the consumer’s on-line purchase behavior and the “pre-click” context
• Then tracking the consumer behavior at product/SKU level while they are browsing on the online retailer site
• Combining these data to build a individual behavior map or ‘buying genome’ for each consumer
• Matching all this data and the ‘buying genome” with real-time analytics
• Correlating this with online retailer business rules established and dynamically managed by the merchant
• Bringing together the behavior tracking data, the results of the analytics, and the business rules, Runa then:
• delivers a Dynamic Sale Price
• at an product/SKU level
• for each individual consumer
• in real-time on the online merchant’s site
• to close the sale and optimize profits for the online merchant.