A system and method for quantifying impact of script error exceptions on performance of an online retail platform. A method includes selecting at least one performance metric for a webpage, wherein the selected performance metric has an impact due to at least one script error exception encountered on the webpage visited by a first user device; retrieving a normal value for each of the at least one selected performance metric for the webpage visited by a second user device; retrieving an abnormal value for each of the at least one selected performance metric for the webpage visited by the second user device; comparing the abnormal value to the normal value of a respective selected performance metric; and determining a performance impact score based on the comparison, wherein the performance impact score is indicative of a reduction in a performance metric of each of the least one selected performance metric.

A system and method for dynamically tracking the delivery and performance of static advertising placed in public or semi-public physical locations, and integrating, displaying, and reporting impressions and events related to the static advertising in digital ad buying systems.

A social media website which allocates points to participants for a variety of activities by either the participant or by others, who may be other participants. Allocation of points results in rankings of participants, wherein higher ranked participants are allocated more opportunities for accumulating advertising revenue. Ads placed throughout the system's various pages may have their potential conversion value ascribed to designated groups or persons, as the ranked participant desires. Retained revenues may be used by a participant to purchase goods from participating vendors.

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.

Described herein are various embodiments for intelligent advertisement generation and distribution. An embodiment operates by determining website history information about a plurality of consumers and an ad history information about the plurality of consumers. The advertisement is provided for display on a computing device for each consumer of at least a subset of consumers of the plurality of consumers responsive to a first bid opportunity for the advertisement to be displayed. Website actions of the subset of consumers to whom the advertisement was provided for display are tracked. A predictive model that the bid opportunity lead to a conversion is generated based on the website history, ad history, and the tracking of website actions. A price to bid for a second bid opportunity is generated. The generated price to bid is submitted for the second bid opportunity to display the advertisement to a marketplace.

A process and a system are provided to determine how to allocate the available commercial resources for a plurality of brands in a plurality of commercial channels. The use of brand response curves, in addition to commercial response curves, accounts for overlap and redundancy that are present with just the use of commercial response curves. The process uses the brand response curves and optimization technology to determine the allocation of the total commercial budget for each of the brands. The process then uses the commercial response curves to allocate the brand funds within each of the brands.

Methods, apparatus, systems and articles of manufacture to estimate and deduplicate audiences are disclosed herein. An example apparatus includes a controller to determine a subunion of at least first and second marginal audiences of media based on of panel data and census data, the panel data including a panel impression count and a panel audience size, and the census data including a census impression count, an audience size calculator to determine a census audience size of the at least the first and second marginal audiences based on the panel impression count and the panel audience size and determine a subunion census audience size, the subunion census audience size corresponding to an overlap between the at least the first and second marginal audiences; and a report generator to generate a report including the census audience size and the subunion census audience size.

Embodiments of architecture, systems, and methods that enable social media users to monetize their social media related activity and for advertisers to place ads on social media via social media users. Other embodiments may be described and claimed.

Aspects of the subject technology receiving, by a campaign client module and via an advertisement network server, a hierarchical campaign identifier including one or more sub-identifiers. The campaign client module also accesses, from an aggregation server, anonymity data. The campaign client module also selects a sub-identifier from the one or more sub-identifiers of the hierarchical campaign identifier based on the anonymity data, generates a reporting data structure including a set of data based on the sub-identifier, and transmits the reporting data structure to the advertisement network server.

A system for collecting and indexing data by associating a unique identifier (generated by and provided from an external computer system) with a data file. The data file is acquired from a user operated computer system. The system comprising a series of computers provided in signal communication with one another via a network. The data file could include data collected by a form provided by a website hosted by a web server. Additional data collected from other sources (stored as a record), such as a computer system operated by an agent, would be associated with the collected data file by an inquiry management company. The collected data and associated records are forwarded to a computer system that tracks online users/visitors. The process can marry computer collected data (other than the data file) about website activity with activities independent of the website.