SALES PREDICTION SYSTEMS AND METHODS

摘要

Computer implemented sales prediction system collects data relating to events of visitors showing an interest in a client company from plural data sources, an organization module which organizes collected data into different event types and separates collected event counts in each event type between non-recent and recent events occurring within a predetermined time period, a first processing module which periodically calculates weighting for each event type based on recent and non-recent events for the event type compared to totals for other selected event types, a second processing module which periodically calculates sales prediction scores for each visitor and companies with which visitors are associated based on accumulated event data and weighting, and a reporting and data extract module which is configured to detect variation in sales prediction scores over time to identify spikes which can predict upcoming sales and to provide predicted sales information and leads to the client company.

主权项

1. A method comprising using at least one hardware processor to:
periodically,
collect activity data representing activity of a visitor at a website comprising one or more webpages, wherein the activity data comprises an Internet Protocol (IP) address of the visitor, and wherein the activity comprises a plurality of events,map the IP address of the visitor to a known contact using a lookup file, andcalculate a sales prediction score for the known contact based on the plurality of events represented in the activity data; and, when the sales prediction score for the known contact in a period represents a spike relative to one or more prior sales prediction scores calculated for the known contact in one or more prior periods, initiate one or more marketing activities to the known contact.