- San Jose CA, US Nathan Purser - Highland UT, US Joseph Ward - Provo UT, US Kristopher Paries - Murray UT, US John Bates - Highland UT, US
International Classification:
H04L 29/08 G08B 21/18 H04L 12/26
Abstract:
In some embodiments, a real-time and interactive preview of alerts is provided in a user interface. A computer system parses a set of rules that specifies an alert definition. Each rule identifies a set of observations and an alert trigger criterion based on user input in the user interface. For a rule, the computer system accesses historical data corresponding to the set of observations identified by the rule and determines, based on an analysis of the historical data, time points that trigger alerts over a time period according to the rule. The analysis is based on the alert trigger criterion identified by the rule. The computer system aggregates, based on the alert definition, the time points determined for the rule with time points determined for another rule from the set of rules. Further, the computer system generates an alert preview over the time period for presentation at the user interface.
Generating Segments Based On Intelligent Sequential Data
- San Jose CA, US Benjamin R. Gaines - Highland UT, US Nathan A. Purser - Highland UT, US William Brandon George - Pleasant Grove UT, US
International Classification:
G06F 17/30 G06Q 30/02
Abstract:
The present disclosure is directed toward systems and methods that allow users to efficiently and effectively create and identify segments of usage patterns. For example, systems and methods described herein allow marketers to query and return sequential segments including sequence conditions based on user-defined dimension item values. Furthermore, systems and methods described allow marketers to query and return sequential segments including sequential events based on user-defined dimension variables. In addition to the foregoing, systems and methods described herein allow marketers to query and return sequential segments defined by repeated events performed at given regularity or frequency.
- San Jose CA, US David H. Woolsey - Lehi UT, US Nathan A. Purser - Highland UT, US
International Classification:
H04N 21/25 H04N 21/442 H04N 21/24 G06Q 30/02
Abstract:
The likelihood of consumption of a linear content stream may be determined. Information that includes data indicative of user interaction with a client device may be received. The information may correspond to a period during which the client device received linear content. The likelihood of consumption may be determined for that period based on the received information.
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Nathan Purser
Lived:
Magna, UT
Work:
Primary childrens - Pharmacy technician
Education:
Western Governors University
Nathan Purser
Nathan Purser
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