Systems and methods are disclosed for attributing web traffic to an advertising spot. The method may include receiving traffic data for a web page from a server associated with an advertiser and receiving, from a log provider, a log of a plurality of advertising spots related to the advertiser. A duration of time as a peak may be designated to identify the amount of traffic that is attributable to the one of the plurality of advertising spots.

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.

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

Introduced herein are methods and systems for use of machine learning to measure effectiveness of an impression with specified granularity. For example, the methods and systems herein involve inputting impression data associated with an impression into a machine learning model to assess effectiveness of an impression under specific and narrow time and location parameters, thereby enabling assessments to be conducted in a more frequent and targeted manner.

Systems, methods, apparatuses, and computer program products provide techniques for multi-seller ad attribution. Various examples and implementations may generate a first advertisement on the online platform, generate a second advertisement on the online platform, track user selections on the online platform, determine purchase information related to products in the virtual cart, generate an attribution report including advertisement performance, and purchase information. The attribution report may provide additional insight, context, and information regarding advertisement campaigns and user interactions.

Systems and methods for providing targeted content are disclosed. A media device is located in a physical location and configured to display content associated with one or more items. An assistant device has an asset ID and is used to assist a user's interactions. A plurality of first sensors generate first velocity data of an item ID coupled to a first item and second velocity data of the asset ID. At least one processor is configured to: determine that the first item is associated with the assistant device based on the first velocity data and the second velocity data, calculate an estimated time indicating when the assistant device will enter the first predetermined range based on the second velocity data, determine content associated with a second item based on the first item, and instruct the media device to present the content starting from the estimated time.

A software and/or hardware facility for scoring the quality of traffic to a site accessible via the Internet or other network. The facility may generate training set data and use the training set data to identify parameters indicative of fraudulent traffic to a site and reduce the effect of fraudulent traffic advertisers and publishers. The facility may score the quality of traffic and determine combinations of parameters that are indicative of the quality of traffic to the site. Traffic to the site may be scored based on the combination of parameters associated with the one or more sessions. Lower scores are indicative of traffic having little value to a publisher, advertiser, or third party; higher scores are indicative of traffic having greater value.

A framework associated with an online store is configured to enable privacy preserving data sharing for invitational campaigns by limiting the amount of data that is shared to a content delivery network for the campaign until a sufficient number of interactions have occurred to provide crowd anonymity to participants in the campaign.

The subject personalized consumer advertising/ad placement system provides the ability for advertisers, ad agencies, and any other applicable organization to determine and electronically present their ideal consumer profile and have their advertisement/promotion placed in front of all consumers who match the profile based on the anonymous mining of the consumers actual spending across a broad base of spending categories.

In some embodiments, the present invention is directed to a computer system which includes: a specifically programmed server, where the server includes a plurality of modules configured to perform at least: electronically and periodically obtaining, over a computer network, media data from a plurality of computer systems of media data sources, where the media data is associated with a plurality of media airings of a plurality creatives; electronically and periodically obtaining web tracking transaction data from a computer system of a web tracking electronic source; where the web tracking transaction data including web tracking metrics for web originated activities; where web originated activities include web orders placed in response to the offer associated with the creative; for each web order record in the transactional web data: attributing, by the specifically programmed server, a particular web order to a particular media airing; and displaying a real time updatable web attribution report.