The innovations described in this disclosure include distinct differences that create a marketing and sales advantage. For convenience, these features are organized into several innovations, but the features described can be combined and implemented in various ways, both within a given innovation and across two or more innovations. Each innovation is unique in itself. Taken as a whole the innovations establish a demonstration category called Demo Automation or Demonstration automation. The innovations include, but are not limited to, automated self-configuring video content density and sequence based on personalization responses; automated responsive locked document library; sending a product demo that allows you to see who the recipient shared it with; and product demonstration analytics.

A system that incorporates teachings of the present disclosure may include, for example, receiving location information associated with a mobile communication device, determining a first location of the mobile communication device based on the location information, selecting a first camera from a group of cameras based on the determined first location, receiving at least one first image from the selected first camera that captures at least a portion of the first location, performing image recognition on at least one second image to identify a user associated with the mobile communication device, selecting another camera from the group of cameras based on a determined position of the identified user, and receiving at least another image from the selected other camera. Other embodiments are disclosed.

An ad is placed in a movie, by analyzing inherent characteristics of the movie, analyzing viewed characteristics of the movie, analyzing viewer characteristics of a viewer of the movie, obtaining advertiser preferences for placement of the ad in the movie, determining costs of placing the ad in the movie based on the inherent characteristics of the movie, the viewed characteristics of the movie, the viewer characteristics and the advertiser preferences, and placing the ad in the movie in accordance with the inherent characteristics of the movie, the viewed characteristics of the movie, the viewer characteristics, the advertiser preferences and the determined costs.

Systems and methods for verifying an advertisement impression in a digital environment are provided. In some aspects, methods of the subject technology include operations for defining a portion of the digital environment as an impression area, wherein the impression area is associated with a tagged advertisement area, providing a stream of an advertisement to the tagged advertisement area, and updating advertising impression information stored in memory regarding the advertisement, wherein an advertising impression is based on the identification of the character within the impression area and the availability of an unobstructed line-of-sight between the character and the tagged advertisement area. In some aspects, computer readable media are also provided.

Embodiments of the present disclosure provide methods, systems, apparatuses, and computer program products for conducting dynamic group-level multi-variate testing in a group-based communication system based on an experiment launch request received from an external application or a client device.

A method and system for planning and running video-on-demand (VOD) advertising includes a planner for planning advertising campaigns and an ad selector for running selected advertisements from selected ones of the campaigns. The campaigns are associated with household demographic classifications, video content category categories, household geographic locations, and/or video viewing times. In response to a viewer requesting a video, the selector selects the campaigns corresponding to the demographic classification associated with the viewer, the content category of the requested video, the geographic location associated with the viewer, and/or the viewing time at which the requested video is viewed. The demographic classification is determined by using an identifier of the viewer's set-top-box. The selector may select the campaigns corresponding to the content categories of the requested video. The content categories are determined by using an identifier associated with the requested video.

A system is disclosed for a pay-per-action (PPA) advertising model. An advertiser reports actions and pays an advertising provider for each action that is reported. The payment may be based on the rate at which the actions are reported. The action rate may be updated based on each reported action, which may modify the payment for that action and may modify the payment for previous actions. A one-time premium may be charged to advertisers and a minimum action rate may be established to encourage advertisers to accurately report actions.

Disclosed embodiments relate to performing an advertisement campaign filtering process while protecting the privacy of both an advertiser and a user of a personal computing device. Techniques include maintaining a plurality of sets of advertising competition rules, the plurality of sets of advertising competition rules being associated with a plurality of discrete advertising campaigns; for a set of advertising competition rules from the plurality of sets of advertising competition rules: identifying advertisement targeting criteria associated with the set of advertising competition rules, differentiating, from within the advertisement targeting criteria, between advertisement-sensitive targeting criteria and advertiser-insensitive criteria, and transforming the advertisement-sensitive sensitive targeting criteria; and transmitting, to the personal computing device, at least a portion of the transformed advertisement-sensitive targeting criteria.

Disclosed embodiments relate to conducting a real-time selection of a targeted advertisement or campaign on a personal computing device. Techniques include receiving, on the personal computing device, a plurality of sets of advertising competition rules associated with a plurality of discrete advertising campaigns. Further techniques include identifying an opportunity to display a targeted advertisement to a user of the personal computing device, accessing sensitive data associated with the user stored locally on the personal computing device, the sensitive data not being made available outside of the personal computing device without authorization from the user, and conducting, based on the identified opportunity and using the accessed sensitive data, a real-time selection of at least one of the plurality of discrete advertising campaigns, the real-time selection is based on one or more of the plurality of sets of advertising competition rules.

Disclosed embodiments relate to efficiently providing advertising competition rules to a personal computing device of a user. Techniques include maintaining a plurality of sets of advertising competition rules, the plurality of sets of advertising competition rules being associated with a plurality of discrete advertising campaigns; receiving non-personal advertisement targeting data from the personal computing device; filtering the plurality of sets of advertising competition rules using a filtering technique, based on the non-personal advertisement targeting data, to identify a subset of the plurality of sets of advertising competition rules; and transmitting the subset of the plurality of sets of advertising competition rules to the personal computing device.