The present disclosure covers systems and methods for collecting and analyzing analytics data for a plurality of online user interactions and aggregating the analytics data to determine sentiment scores and generate a presentation of a path of interactions. For example, the systems and methods analyze the analytics data to identify attributes of the online user interactions and determine, based on the identified attributes, a sentiment score for each of the plurality of online user interactions. In addition, the systems and methods aggregate the plurality of online user online user interactions to identify an interaction path commonly experienced by the users of the interactions. Further, the systems and methods generate and provide an interactive presentation including a visualization of the interaction path and associated ranges of sentiment scores associated with types of online user interactions that make up the interaction path.

A system and method for generating advertisement automatically are provided. The system may comprise at least one computer-readable storage medium including a set of instructions; at least one processor in communication with the at least one computer-readable storage medium, wherein when executing the set of instructions, the at least one processor is configured to cause the system to generate a first plurality of ads, the first plurality of ads including a first plurality of advertisement elements and a first plurality of information components; transmit, via a network, the first plurality of ads to a first group of user terminals; determine at least one of a click-through rate, a number of impressions, or a conversion rate for the first plurality of ads; and analyze the at least one of the click-through rate, the number of impressions, or the conversion rate of the first plurality of ads.

An online advertisement system determines which of a plurality of advertisement clickthroughs are successful online events. A successful online event is based on an advertisement online reference and a success online reference. The system further correlates the number of successful online events for a traffic originator. In addition, the online advertisement system computes an advertisement penalty based on the computed correlation.

In general, embodiments of the present invention provide systems, methods and computer readable media for data record compression using graph-based techniques.

A content delivery system adjusts bids across publishing channels to account for historical ratios that content was targeted to a content item's audience. A content campaign for users of a content delivery system is devised for two or more sponsored content providers. Targeting criteria for the content item is used to define an audience for the content item, and a sample group from that audience is chosen. The ratio of content impressions among the content providers is identified for the sample group among prior content presentations to these users. For the content item, based on the current ratio of presenting content across a secondary publishing channel and a benchmark publishing channel, a channel control factor is adjusted for the secondary publishing channel based on a numerical comparison of these two ratios. This adjusted channel control factor adjusts the bid price per impression for displaying content by the content campaign.

An online system presents various content items received from a publishing user to various users. The online system captures information identifying users to whom the content items were presented and identifies actions performed by the users presented with the content items after being presented with the content items. After presenting content items from the publishing user, the online system identifies characteristics of users to whom the content items were presented and determines performance metrics describing presentation of the content items to users having different characteristics or combinations of characteristics. The performance metrics are presented to the publishing user and grouped based on various characteristics of users to whom the content items were presented, allowing the publishing user to evaluate performance of presentation of content items to users having different characteristics.

Systems and methods for targeted advertising to specific consumers are disclosed. A system may include a memory storing instructions and at least one processor configured to execute the instruction to: receive, over a network, client-provided data from a client device; identify at least one consumer by comparing the client-provided data against consumer data recorded in an electronic consumer database; obtain at least one unique consumer identifier for the identified at least one consumer, the at least one unique consumer identifier not including personal identifiable information; generate a target audience pool based on the at least one unique consumer identifier; and deliver, over a network, the target audience pool to the client device to facilitate targeted advertising to specific consumers.

The systems and methods may be used to recommend an item to a consumer. The methods may comprise determining, based on a collaborative filtering algorithm, a consumer relevance value associated with an item, and transmitting, based on the consumer relevance value, information associated with the item to a consumer. The method may further comprise generating a ranked list of items based upon a plurality of consumer relevance values, transmitting a ranked list of items to a consumer, and/or re-ranking a ranked list of items based upon a merchant goal.

A method and apparatus for presenting advertisements is disclosed. An apparatus that incorporates teachings of the present disclosure may include, for example, a system having an inspection element that monitors packet traffic associated with an end user, and determines a behavioral profile of the end user from the monitored packet traffic, a publisher element that detects an end user visiting a website managed thereby, and generates an advertisement request associated with the website, and advertisement element that selects one or more advertisements according to the behavioral profile of the end user, and submits said one or more advertisements to the publisher element for presentation thereof to the end user. Additional embodiments are disclosed.

A business monitoring system is described herein that brings together the previously separate worlds of social media and offline secret shopper and similar programs. With the business monitoring system, owners of brands are able to monitor the local voice of the customer to detect local and regional trends in sentiment and activity, build benchmarks and goals for local storefronts, evaluate in-store operations and customer service trends, and measure the local impact of marketing and advertising initiatives. The system collects and analyzes signals from online sources, producing reports, analytics, benchmarks, and alerts regarding offline activity at the local/store-front level. The system normalizes the signals from various sources, analyzes the signals at the individual location level, aggregates the data across various dimensions, builds benchmarks for comparison, and fires triggers notifying appropriate people upon detecting a meaningful variance. Thus, the system provides a rich and timely set of information to business decision makers.