Abstract: The present disclosure is directed to methods and systems for determining competitive market values for an ad impression on an advertiser exchange. An engine executing on a device may receive a candidate set of inputs associated with ad impressions. The engine may determine competitive market values for an ad impression on an advertiser exchange. The engine may determine candidate clearing prices based on the candidate set of inputs and history of clearing prices on the advertiser exchange. The engine may generate, based on the candidate clearing prices, a competitive market value prediction for the ad impression on the advertiser exchange. The competitive market value prediction may comprise a distribution function of predicted clearing prices on the advertiser exchange. The engine may generate, based on the competitive market value prediction, a fair market value bid for the ad impression in the context of a specific ad campaign.

Abstract: The present disclosure is directed to methods for identifying a user by a demand side platform (DSP) across advertiser exchanges. The method includes establishing, by a DSP, a cookie mapping for a user. The cookie mapping includes a mapping of user identifiers for the user from advertisement exchanges to a user identifier assigned by the DSP for the user. The DSP stores to the cookie mapping a first mapping to the user identifier of the DSP, comprising a first user id received by a bidder from a first exchange and a first exchange id for the first exchange. A bidder inserts a pixel into a bid for an impression opportunity to a second exchange. The pixel includes a key to the cookie mapping and a second user id for the user and a second exchange id. The second user id is received by the bidder from a second exchange.

Abstract: A digital ad-buying platform uses counterfactual-based incrementality measurement by implementing randomization and/or a correction for auction win bias to avoid the need to identify counterfactual winner types in the control group. This approach can estimate impact at the individual consumer level. Confidence levels can be determined using Gibbs sampling in the context of causal analysis in the presence of non-compliance.

Abstract: A digital ad-buying platform uses counterfactual-based incrementality measurement by implementing randomization and/or a correction for auction win bias to avoid the need to identify counterfactual winner types in the control group. This approach can estimate impact at the individual consumer level. Confidence levels can be determined using Gibbs sampling in the context of causal analysis in the presence of non-compliance.

Abstract: A system and method for dynamically tracking the delivery and performance of static advertising placed in public or semi-public physical locations, and integrating, displaying, and reporting impressions and events related to the static advertising in digital ad buying systems.

Abstract: Systems and methods for placing personalized content on one or more specified non-personal displays at a public or semi-public location using a personal digital device associated with a first user via a networked placement platform system include computer-implemented processes and associated computer components that receive, from the personal digital device associated with the first user, a request to place personalized content on one or more non-personal displays, filter the personalized content based on at least one of format and content, generate a rendering of the personalized content, and send instructions to a selected one or more non-personal displays for display of the approved personalized content in real-time or in accordance with a predetermined time schedule.

Abstract: The present disclosure is directed to methods for identifying a user by a demand side platform (DSP) across advertiser exchanges. The method includes establishing, by a DSP, a cookie mapping for a user. The cookie mapping includes a mapping of user identifiers for the user from advertisement exchanges to a user identifier assigned by the DSP for the user. The DSP stores to the cookie mapping a first mapping to the user identifier of the DSP, comprising a first user id received by a bidder from a first exchange and a first exchange id for the first exchange. A bidder inserts a pixel into a bid for an impression opportunity to a second exchange. The pixel includes a key to the cookie mapping and a second user id for the user and a second exchange id. The second user id is received by the bidder from a second exchange.

Abstract: A system and method for dynamically tracking the delivery and performance of static advertising placed in public or semi-public physical locations, and integrating, displaying, and reporting impressions and events related to the static advertising in digital ad buying systems.

Abstract: Systems and methods for dynamically tracking delivery and performance of digital advertising placed on non-personal devices in physical locations and integrating, displaying, and reporting impressions and events in digital advertising systems.

Abstract: Systems and methods for dynamically tracking delivery and performance of digital advertising placed on non-personal devices in physical locations and integrating, displaying, and reporting impressions and events in digital advertising systems.

Abstract: The present invention is directed towards methods and systems for matching, by a demand side service, an advertisement with an impression from a plurality of impressions available across a plurality of impression opportunity providers. A demand side service executing on one or more servers may receive a request to bid for placement of an advertisement on one or more impression opportunities available across a plurality of impression opportunity providers. The demand side service may further determine an impression opportunity from the plurality of impression opportunities to bid on. In addition, the demand side service may communicate, via a network, one or more bids via an interface to an impression opportunity provider of the plurality of impression opportunity providers. The demand side service may complete a transaction to procure the impression opportunity from the impression opportunity provider responsive to a winning bid from the one or more bids.

Abstract: The present disclosure is directed to methods and systems for determining competitive market values for an ad impression on an advertiser exchange. An engine executing on a device may receive a candidate set of inputs associated with ad impressions. The engine may determine competitive market values for an ad impression on an advertiser exchange. The engine may determine candidate clearing prices based on the candidate set of inputs and history of clearing prices on the advertiser exchange. The engine may generate, based on the candidate clearing prices, a competitive market value prediction for the ad impression on the advertiser exchange. The competitive market value prediction may comprise a distribution function of predicted clearing prices on the advertiser exchange. The engine may generate, based on the competitive market value prediction, a fair market value bid for the ad impression in the context of a specific ad campaign.

Abstract: A digital ad-buying platform uses counterfactual-based incrementality measurement by implementing randomization and/or a correction for auction win bias to avoid the need to identify counterfactual winner types in the control group. This approach can estimate impact at the individual consumer level. Confidence levels can be determined using Gibbs sampling in the context of causal analysis in the presence of non-compliance.

Abstract: A system and method for dynamically tracking the delivery and performance of static advertising placed in public or semi-public physical locations, and integrating, displaying, and reporting impressions and events related to the static advertising in digital ad buying systems.

Abstract: Systems and methods that provide electronic bidding on digital advertising placed on non-personal digital devices in public or semi-public settings and enable subsequent consumer actions taken on other media channels and devices to be attributed to such advertising in digital ad buying systems.

Abstract: Systems and methods that provide electronic bidding on digital advertising placed on non-personal digital devices in public or semi-public settings and enable subsequent consumer actions taken on other media channels and devices to be attributed to such advertising in digital ad buying systems.

Abstract: The present disclosure is directed to methods for identifying a user by a demand side platform (DSP) across advertiser exchanges. The method includes establishing, by a DSP, a cookie mapping for a user. The cookie mapping includes a mapping of user identifiers for the user from advertisement exchanges to a user identifier assigned by the DSP for the user. The DSP stores to the cookie mapping a first mapping to the user identifier of the DSP, comprising a first user id received by a bidder from a first exchange and a first exchange id for the first exchange. A bidder inserts a pixel into a bid for an impression opportunity to a second exchange. The pixel includes a key to the cookie mapping and a second user id for the user and a second exchange id. The second user id is received by the bidder from a second exchange.

Abstract: The present disclosure is directed to methods and systems for determining competitive market values for an ad impression on an advertiser exchange. An engine executing on a device may receive a candidate set of inputs associated with ad impressions. The engine may determine competitive market values for an ad impression on an advertiser exchange. The engine may determine candidate clearing prices based on the candidate set of inputs and history of clearing prices on the advertiser exchange. The engine may generate, based on the candidate clearing prices, a competitive market value prediction for the ad impression on the advertiser exchange. The competitive market value prediction may comprise a distribution function of predicted clearing prices on the advertiser exchange. The engine may generate, based on the competitive market value prediction, a fair market value bid for the ad impression in the context of a specific ad campaign.

Abstract: The present invention is directed towards methods and systems for matching, by a demand side service, an advertisement with an impression from a plurality of impressions available across a plurality of impression opportunity providers. A demand side service executing on one or more servers may receive a request to bid for placement of an advertisement on one or more impression opportunities available across a plurality of impression opportunity providers. The demand side service may further determine an impression opportunity from the plurality of impression opportunities to bid on. In addition, the demand side service may communicate, via a network, one or more bids via an interface to an impression opportunity provider of the plurality of impression opportunity providers. The demand side service may complete a transaction to procure the impression opportunity from the impression opportunity provider responsive to a winning bid from the one or more bids.

Abstract: Systems and methods for placing personalized content on one or more specified non-personal displays at a public or semi-public location using a personal digital device associated with a first user via a networked placement platform system include computer-implemented processes and associated computer components that receive, from the personal digital device associated with the first user, a request to place personalized content on one or more non-personal displays, filter the personalized content based on at least one of format and content, generate a rendering of the personalized content, and send instructions to a selected one or more non-personal displays for display of the approved personalized content in real-time or in accordance with a predetermined time schedule.