Abstract: A system and method for advertisement impression volume estimation is herein disclosed. According to one embodiment, the computer-implemented method includes identifying a plurality of advertisement placements for an advertisement campaign based on a campaign parameter and a specified performance level for a past advertisement campaign, determining a first plurality of advertisement impressions from the plurality of advertisement placements based on a target geographic region, and estimating a second plurality of advertisement impressions from the first plurality of advertisement impressions based on a discount rate.

Abstract: A method for controlling a purchasing pace in a real-time bidding environment is provided. A pacing parameter is dynamically adjusted using a multi-loop control algorithm including an outer control loop and an inner control loop, wherein the outer control loop outputs a control parameter, and the inner control loop uses this control parameter as an input and outputs a current value of the pacing parameter, which is adjusted over time by the multi-loop control algorithm. A series of bid requests generated by a real-time bidding exchange are received, each identifying a respective available ad placement in a respective webpage being loaded. For each received bid request, a decision is made in real-time, during the loading of the respective webpage, whether to submit a bid to purchase the respective ad placement based at least on the current value of the dynamically adjusted pacing parameter.

Abstract: A method and system for pricing advertisement placements online in a real-time bidding (RTB) environment is disclosed. According to one embodiment, a computer-implemented method includes receiving a plurality of responses from a plurality of real-time bidding (RTB) requests for an advertisement placement and determining a first data set from the plurality of responses, where the first data set includes prices paid for winning the advertisement placement. The computer-implemented method further includes determining a second data set from the plurality of responses, where the second data set includes losing bid prices, and estimating a price distribution curve based on one or more of the first data set and the second data set.

Abstract: A method and system for controlling real-time bidding for online advertisements is disclosed. According to one embodiment, a computer-implemented method comprises receiving a real-time bidding (RTB) request from a bidder. The RTB request contains a campaign target. An online advertisement campaign corresponding to the RTB request is placed. Campaign performance data is received from an impression server and/or an event server. The campaign performance data is compared to the campaign target. Based on the result of comparison, it is determined whether to enable or disable the online advertisement campaign.

Abstract: A system and method for controlled purchasing of online advertisements in a real time bidding environment is herein disclosed. According to one embodiment, the computer-implemented method includes receiving a real-time bidding request for an online advertisement campaign and determining a score of the real-time bidding request. The score elicits desirability for the online advertisement campaign. The computer-implemented method further includes determining a pacing threshold for the online advertisement campaign and bidding on the real-time bidding request based on the score of the real-time bidding request and the pacing threshold. A bidding pace of the online advertisement campaign is monitored based on a number of impressions won for a given time period, and the pacing threshold is dynamically adjusted based on the bidding pace.

Abstract: A system and method for combining past user events with real-time user events to respond to advertising opportunities is disclosed. According to one embodiment, a computer-implemented method includes receiving a first plurality of user events that occurred within a first prior time period, receiving a second plurality of user events that has occurred within seconds of real-time, and providing a plurality of desirable user events for consideration of a real-time bidding request based on processing the first plurality of user events and the second plurality of user events.

Abstract: A system for improving shape-based targeting by using interest level data is disclosed. According to one embodiment, a computer-implemented method comprises creating one or more trade zones, wherein creating a trade zone comprises grouping a set of parameters to deliver custom shapes, clustering the custom shapes according to offline data and geographic distribution of IP addresses, and mapping clusters of the custom shapes to IP addresses. Data indicating consumption of a content source is received, the content source having a plurality of tokens. The plurality of tokens is organized according to the one or more trade zones, wherein the one or more trade zones consume the tokens at a calculated rate and the calculated rate is analyzed to determine an interest associated with each trade zone. Targeting is based on a selected trade zone, wherein the selected trade zone is selected based upon a desired interest representative of a desired audience.

Abstract: A method and system for audience targeting is disclosed. According to one embodiment, a computer-implemented method comprises logging content consumed by a first group of users. The content is categorized into a set of topics. The set of topics are mapped to a plurality of users in a trade zone. Based on profile matching and according to a topic of an advertisement campaign, a second group of users are identified from the plurality of users.

Abstract: A system for improving shape-based targeting by using interest level data is disclosed. According to one embodiment, a computer-implemented method includes creating one or more trade zones, wherein creating a trade zone includes grouping a set of parameters to deliver custom shapes, clustering the custom shapes according to offline data and geographic distribution of IP addresses, and mapping clusters of the custom shapes to IP addresses. Data indicating consumption of a content source is received by one or more trade zones at a calculated rate and the calculated rate is analyzed to determine an interest associated with each trade zone. Targeting is based on a selected trade zone, wherein the selected trade zone is selected based upon a desired interest representative of a desired audience. A targeting request is transmitted including instructions or information associated with a target action, and the target action is performed.

Abstract: A system for handling multiple simultaneous campaigns that improves advertisement performance through shape based targeting and real-time impression acquisition is disclosed. According to one embodiment, a computer-implemented method comprises receiving a bid request, creating a possible advertisement set based on the bid request, filtering the possible advertisement set to produce a reduced advertisement set, creating one or more tradezones. Creating a tradezone comprises clustering data sets according to one or more of offline data, online data, and geographic distribution of a plurality of IP addresses to form custom shapes, and mapping the custom shapes to the plurality of IP addresses. Remaining advertisements are targeted in the reduced advertisement set, wherein remaining advertisements are targeted based on a selected tradezone, and wherein the selected tradezone is selected based upon a set of parameters representative of a desired audience.

Abstract: A method and system for controlling real-time bidding for online advertisements is disclosed. According to one embodiment, a computer-implemented method comprises receiving a real-time bidding (RTB) request from a bidder. The RTB request contains a campaign target. An online advertisement campaign corresponding to the RTB request is placed. Campaign performance data is received from an impression server and/or an event server. The campaign performance data is compared to the campaign target. Based on the result of comparison, it is determined whether to enable or disable the online advertisement campaign.

Abstract: A system for improving shape-based targeting by using interest level data is disclosed. According to one embodiment, a computer-implemented method comprises creating one or more trade zones, wherein creating a trade zone comprises grouping a set of parameters to deliver custom shapes, clustering the custom shapes according to offline data and geographic distribution of IP addresses, and mapping clusters of the custom shapes to IP addresses. Data indicating consumption of a content source is received, the content source having a plurality of tokens. The plurality of tokens is organized according to the one or more trade zones, wherein the one or more trade zones consume the tokens at a calculated rate and the calculated rate is analyzed to determine an interest associated with each trade zone. Targeting is based on a selected trade zone, wherein the selected trade zone is selected based upon a desired interest representative of a desired audience.