Systems and methods of dynamically varying the intensity of providing content items in a remarketing campaign based on tracking client device interactions are provided. The system can assign an account identifier to a first segment for a pre-conversion model, responsive to receiving a first interaction associated with a content provider from a client device. The system can assign the account identifier to a second segment for the pre-conversion model, responsive to receiving a second interaction. The system can assign the account identifier to a third segment, responsive to receiving a third interaction. The third interaction can include a conversion event. The system can generate a post-conversion model based on the third segment and the pre-conversion model. The system can determine an intent index for the account identifier based on the post-conversion model. The system can store the account identifier into an interest cluster based on the intent index.

The subject technology provides a targeted content curation and placement optimization system comprising a processor connected to a publication network, the publication network navigated by an online consumer seeking actionable content. An online demand side portal is accessible, via the publication network, to a content provider. An online supply side portal is accessible, via the network, to a publisher of content on the publication network. An integrated bidding exchange is communicatively coupled to the demand side portal and the supply side portal and presents user interfaces enabling receipt of bids from the content provider for placement of content by the publisher at a specified location or domain on the publication network. A geographic insights generator may generate geo-specific intender attributes that may be used to curate the targeted content and optimize one or more bidding parameters of the content provider.

A lifetime value estimation of a web-based advertisement can be generated at the time of creation of a reservable listing in response to the advertisement, even when little to no information about conversion of the reservable listing is available. In a case that there is no information about a conversion time for a listing, the estimation of the lifetime value is done by calculating a real conversion rate from an advertising platform-dependent historical conversion rate, an average percentage of converted listings that converted from unreserved to reserved within a set period of days, and a scaling multiplier. Where there are relatively few conversions, the estimation of a lifetime value for the advertisement can be done using a weighted average of a campaign-level global conversion rate, which encompasses a large number of keywords that have seen conversions, and a keyword-level local conversion rate. The resulting estimated valuation, by either method, is used to submit a keyword bid to an online advertising service for display alongside a user's search results.

A method for tracking user actions associated with an advertisement includes receiving conversion information. The method also includes determining whether the conversion information represents a valid conversion corresponding to a user action.

There are disclosed systems and methods for facilitating communications between individuals and enterprises and in particular, to methods and systems for tracking and attributing customer and/or customer prospect online and offline communications in association with a marketing campaign.

A system for geographic, temporal, and location-based detection and analysis of mobile communication devices in a communication network is disclosed. The system comprises a database and a server communicatively coupled to the database that receives location data from a vendor server, sets a boundary around each location included in the location data, receives messages from mobile communication devices responsive to display of content on the mobile communication devices, analyzes mobile communication device data corresponding to determined mobile communication identifiers from cell sites, and applies a plurality of exclusions to the mobile communication devices based on the analysis to exclude mobile communication devices based on dwell times within the boundary, historical device patterns within the boundary, and/or dwell times patterns in relation to one or more geographic features in the boundary. The server then generates and displays a list of non-excluded mobile communication devices based on the plurality of exclusions applied.

Systems, methods, and media are disclosed for tracking viewability of content, such as Internet content, by associating a color-changing animated image file with the content and determining, based on whether color of an image is changing, whether the content is in a viewable region of a browser.

Methods, apparatus, systems, and articles of manufacture to perform computer-based monitoring of audiences of network-based media using information theory to estimate intermediate level unions are disclosed. An example apparatus to determine a deduplicated, census-based audience metric of media includes panel union calculator circuitry to calculate a threshold statistic corresponding to an intermediate union of a panel hierarchy, and census union calculator circuitry to calculate a deduplicated audience value corresponding to the intermediate union of the census hierarchy based on the threshold statistic.

A computer-implemented method for efficiently estimating the number of unique elements in a collection of elements comprises generating, via hash logic, hash values for each element of the collection of elements. The method further comprises specifying, in a sketch-frequency table, a set of discrete statistical values associated with the hash values and, for each discrete statistical value of the set of discrete statistical values, information indicative of a frequency at which binary representations of the hash values are associated with the discrete statistical value. The cardinality of the collection of elements is estimated based on the sketch-frequency table.

Methods and systems for matching user information between data sets, while preserving data privacy are provided. Some examples relate to matching subsets of users from a first device to subsets of users from a second device, based on a first set of indications and a second set of indications, respectively, to calculate how long it takes for a user to travel to a location of interest, after the user is provided with directed content. A conversion rate may be determined based on how many instances at which a user travels to the location of interest, within a conversion window, after the user is provided with the directed content. The conversion rate may be compared to a baseline conversion rate to determine a change in conversion rate. The change in conversion rate may correspond to an impact of the directed content in causing the user to travel to the location of interest. User data is not shared from the first device to the second device, and vice-versa.