A system includes a subscriber information service (SIS), logic defining a digital advertising campaign, and logic to operate the SIS to maintain an impression-to-decision ratio for one or more aspects of the advertising campaign and to apply the ratio to frequency capping the one or more aspects of the advertising campaign.

A non-transitory computer-readable recording medium stores therein a prediction program that causes a computer to execute a process including obtaining a machine learning model trained by using training data, the machine learning model predicting presence or absence of purchase actions or predetermined actions of users corresponding to feature information on the users, the training data including feature information on users and information indicating the presence or the absence of the purchase actions of commercial products or the predetermined actions, receiving input of a budget amount in an entry field displayed on a display in association with a user group including users including a common feature in the feature information, and displaying, in association with the budget amount on the display, feature information on the users included in the user group corresponding to the entry field.

One or more computing devices, systems, and/or methods for isolated budget utilization are provided. A first budget pacing component is assigned to control bidding by a first content serving component for a set of content items. A second budget pacing component is assigned to control bidding by a second content serving component for the set of content items. The first budget pacing component controls the bidding by the first content serving component according to a first portion of a content item budget based upon a traffic share of the first content serving component. The second budget pacing component controls the bidding by the second content serving component according to a second portion of the content item budget based upon a traffic share of the second content serving component.

A wearable apparatus and method are provided for selectively disregarding triggers originating from persons other than a user of the wearable apparatus. The wearable apparatus comprises a wearable image sensor configured to capture image data from an environment of the user of the wearable apparatus. The wearable apparatus also includes at least one processing device programmed to receive the captured image data and identify in the image data a trigger. The trigger is associated with at least one action to be performed by the wearable apparatus. The processing device is also programmed to determine, based on the image data, whether the trigger identified in the image data is associated with a person other than the user of the wearable apparatus, and forgo performance of the at least one action if the trigger identified in the image data is determined to be associated with a person other than the user.

An automatic system facilitates selection of media properties on which to display an advertisement, responsive to a profile collected on a first media property, where a behavioral-targeting company calculates expected profit for an ad correlated with the profile and arranges for the visitor to be tagged with a tag readable by the selected media property. The profit can be calculated by deducting, from the revenues that are expected to be generated from an ad delivered based on the collected profile, at least the price of ad space at a media property where the BT company might like to deliver ads to the profiled visitor. When the calculated profit is positive (i.e., not a loss), the BT company arranges for the visitor to be tagged with a tag readable by the selected media property through which the BT company expects to profit.

An approach is provided for determining a product value score. Features of a product are identified. Ranking data for each identified feature is collected. The ranking data includes popularity, stability, availability, and memory usage of each feature. Additional data for each feature are determined. The additional data includes an importance, a conversion rate, and a marketing impact of each feature. Based on the ranking data and the additional data, normalized data is generated according to characteristics of the features. Based on a data science prediction analysis which uses the identified features, weights of the features are determined. Based on initial results of the data science prediction analysis, a key product is selected from a set of products. Based on the key product and the weights, product value scores of products in the set of products are determined.

A system for tracking telephone calls made in response to advertising campaigns in electronic or other media is provided. The system permits an advertiser to associate specific and distinct telephone numbers with associated advertising campaigns. The system further modifies advertiser-provided information in response to the advertising campaign to which a potential customer responds, and includes the associated telephone number in the modified advertiser information. The system processes telephone calls made to the selected telephone numbers, and provides reports to advertisers of call data associated with the respective advertising campaigns.

The present invention relates to methods for evaluating the effectiveness of all types of communication carried on offline communication media so as to generate data equivalent to the data obtained in online communication media. The present invention uses tangible tools such as fixed-line telephones, cellphones, computers, tablets and any other wearable mobile device to generate that data that will be used in media plans that are much more precise and efficient than the plans currently known. Finally, the present invention relates to said media plan obtained using one of said methods as well as the purchase of optimized media.

Systems and computer-implemented methods provided herein determine a metric for brand vitality (VIT) for social media content. VIT is a unique score for each post of social media content that acts as a proxy for impact on consumers. By avoiding the need to conduct costly consumer research for each brand or marketing campaign on social media, the determination of VIT provides a cost-effective and automated yet still meaningful assessment of the reach and exposure of the brand or marketing campaign. Importantly, the determination of VIT is scalable in a way that polling and consumer research is not.

The disclosure relates to a computer server system implementing a method to obtain a plurality of online articles for display on a webpage; obtain a candidate promoted content for each of the plurality of online articles; for each of the plurality of online article and the corresponding candidate promoted content pairs: determine a virality score of the online article indicating popularity of the online article among online users; determine a similarity score indicating similarity between the online article and the candidate promoted content; determine a qualification score based on the virality score and the similarity score; select a pair of target article and target promoted content from the plurality of article and candidate promoted content pairs based on the corresponding qualification scores; and display the target promoted content on the webpage.