A cross-platform service engages and connects influencers and consumers by facilitating content generation in connection with electronic-commerce platform. An influencer/content generator facing portal presents a set of tools to enable influencers to create content for use on the e-commerce side and to facilitate transactions related to influencer compensation. A consumer facing portal presents adaptive user interfaces to engage remotely connected consumers by presenting influencer-generated “looks” and tools to selectively navigate and select/deselect presented looks and explore look and products and ultimately to handle transactions for purchasing of products.

One or more computing devices, systems, and/or methods for determining expected revenue thresholds for presentation of content items via client devices are provided. During a first period of time, whether to present a first content item via a first client device may be determined based upon a comparison of a first expected revenue associated with the first content item with a first expected revenue threshold. A first revenue value associated with presentation of content items via client devices within the first period of time may be determined. The first expected revenue threshold may be modified to generate a second expected revenue threshold based upon the first revenue value and a target revenue value. Whether to present a second content item via a second client device may be determined based upon a comparison of a second expected revenue associated with the second content item with the second expected revenue threshold.

Techniques for predicting an offsite entity interaction rate are provided. One approach involves using a first machine-learned model that includes a first plurality of features that correspond to entity and campaign attributes. The approach also involves training a second machine-learned model that includes a second plurality of features that includes a particular feature corresponding to predicted entity interaction rates. Thus, output of the first machine-learned model is input to the second machine-learned model. The second machine-learned model includes multiple weights that include a particular weight for the particular feature. A content request is received and a set of campaigns is identified based on an entity identifier associated with the content request. Scores are generated based on the first and second machine-learned models. Based on the scores, a campaign is selected and campaign data associated with the campaign is transmitted over a computer network.

Within the field of advertising, multi-touch attribution (MTA) is the process of assigning credit at a unique identifier level to marketing activities for their contribution towards driving a desired marketing result. This invention discloses a data-driven attribution solution and optimization process for improving marketing return on investment by enabling greater speed and agility in responding to continually changing media performance. Specifically, this invention details a survival analysis based approach to attribution using parametric accelerated failure time (AFT) modeling which accommodates both the right-censored discrete time events and is well suited for media data.

A method of setting a driving route of an autonomous vehicle (AV) providing an advertisement on a road obtains information related to an advertisee's reaction to the advertisement, sets an order of priority for lanes in which the AV is drivable depending on a reference and based on road context information and a current lane of the AV, and determines a driving lane and driving route of the AV with a driving lane set based on the order of priority. The method determines a degree of reaction of the advertisee to the advertisement and sets the driving route and driving lane based on the advertisee's degree of reaction for efficient advertisement. The method can be associated with artificial intelligence modules, drones (unmanned aerial vehicles (UAVs)), robots, augmented reality (AR) devices, virtual reality (VR) devices, devices related to 5G service, etc.

Implementations generate links between local merchants and community programs. Merchants provide incentives to customers in relation to community programs. Implementations also include online and offline customer transactions with merchants that make use of incentives. Implementation pertain to customers that view a broadcast of content that is interleaved with a merchant's advertisement and analytic reporting. Matches between transactions with a merchant and a customer that view a broadcast of content that is interleaved with the merchant's advertisement may be identified by the system, and a level of certainty that the match is accurate may be determined. These implementations can be operated by an alliance of entities that cooperate in order to facilitate, and benefit from, transactions between customers and merchants, where the customer is incented to conduct the transaction with the merchant by the merchant's agreement to make a donation to an entity of the customer's choice.

Disclosed herein is a method including receiving a plurality of references from a search engine system in a search engine results page, as a result of a search performed by the search engine system, wherein each reference links to a resource; determining a position of the reference in the search engine results page; assigning a click through rate to each reference based on the determined position of the respective reference in the search engine results page; retrieving each of the resources identified by the plurality of references; determining, for each of the resources, whether at least one of a keyword and a feature phrase is present therein; and computing a score on the basis of the determined click through rates for the references and the determined presences of the at least one of the keyword and the feature phrase.

The systems and methods are directed to identity resolution service (IRS) which may be used to enable accurate and faster conversion contribution analysis across multiple channels. IRS may be responsible for keeping track of relationships between user identifiers and for determining a user canonical identifier given a set of input identifiers and identity mappings. Users may utilize multiple devices and browsers to view advertisements and perform actions that result in conversion events. Users may be anonymous on one device but logged in and recognized on a different device and/or browser. The canonical identifier associated with a user may be used to obtain a full set of conversion events generated by the user and the full set of ad traffic to which the user was exposed. Conversion attribution analysis using the full set of conversion events and full set of ad traffic will result in accurate conversion rates for advertisers.

Example methods and systems for ad insertion decision-making comprise: identifying an ad insertion opportunity in which an underlying advertisement is available for replacement by an addressable advertisement; determining a first expected revenue corresponding to presentation of the addressable advertisement and a first expected cost corresponding to presentation of the addressable advertisement, wherein the first expected cost is based on a current pacing of an advertisement campaign of the addressable advertisement; determining a second expected revenue corresponding to presentation of the underlying advertisement and a second expected cost corresponding to presentation of the underlying advertisement, wherein the second expected cost is based on a current pacing of an advertisement campaign of the underlying advertisement; determining an expected value of the ad insertion based on the first and second expected revenues and the first and second expected costs; and causing performance of the ad insertion based on the expected value.

The present disclosure provides a computer-implemented method and system for real-time tracking and attribution of advertisements for a plurality of subscriber transactions. The computer-implemented method and system corresponds to a tracking and marketing system. The tracking and marketing system integrates one or more telecommunication network channels, a plurality of banking partners, and a plurality of application servers. The tracking and marketing system receives a first set of data. The tracking and marketing system obtains a second set of data. The tracking and marketing system fetches a third set of data. The tracking and marketing system analyzes the first set of data, the second set of data, and the third set of data. The tracking and marketing system identifies a match. The tracking and marketing system tracks the subscriber. The tracking and marketing system initiates one or more marketing campaigns. The tracking and marketing system displays one or more advertisements.