TUBEMOGUL, INC. Patent applications |
Patent application number | Title | Published |
20140278938 | Systems and Methods for Predicting and Pricing of Gross Rating Point Scores by Modeling Viewer Data - Systems and methods are disclosed for characterizing websites and viewers, for predicting GRPs (Gross Rating Points) for online advertising media campaigns, and for pricing media campaigns according to GRPs delivered as opposed to impressions delivered. To predict GRPs for a campaign, systems and methods are disclosed for first characterizing polarized websites and then characterizing polarized viewers. To accomplish this, a truth set of viewers with known characteristics is first established and then compared with historic and current media viewing activity to determine a degree of polarity for different Media Properties (MPs)—typically websites offering ads—with respect to gender and age bias. A broader base of polarized viewers is then characterized for age and gender bias, and their propensity to visit a polarized MP is rated. Based on observed and calculated parameters, a GRP total is then predicted and priced to a client/advertiser for an online ad campaign. | 09-18-2014 |
20140278937 | Systems and Methods for Predicting and Pricing of Gross Rating Point Scores by Modeling Viewer Data - Systems and methods are disclosed for characterizing websites and viewers, for predicting GRPs (Gross Rating Points) for online advertising media campaigns, and for pricing media campaigns according to GRPs delivered as opposed to impressions delivered. To predict GRPs for a campaign, systems and methods are disclosed for first characterizing polarized websites and then characterizing polarized viewers. To accomplish this, a truth set of viewers with known characteristics is first established and then compared with historic and current media viewing activity to determine a degree of polarity for different Media Properties (MPs)—typically websites offering ads—with respect to gender and age bias. A broader base of polarized viewers is then characterized for age and gender bias, and their propensity to visit a polarized MP is rated. Based on observed and calculated parameters, a GRP total is then predicted and priced to a client/advertiser for an online ad campaign. | 09-18-2014 |
20140278912 | Systems and Methods for Predicting and Pricing of Gross Rating Point Scores by Modeling Viewer Data - Systems and methods are disclosed for characterizing websites and viewers, for predicting GRPs (Gross Rating Points) for online advertising media campaigns, and for pricing media campaigns according to GRPs delivered as opposed to impressions delivered. To predict GRPs for a campaign, systems and methods are disclosed for first characterizing polarized websites and then characterizing polarized viewers. To accomplish this, a truth set of viewers with known characteristics is first established and then compared with historic and current media viewing activity to determine a degree of polarity for different Media Properties (MPs)—typically websites offering ads—with respect to gender and age bias. A broader base of polarized viewers is then characterized for age and gender bias, and their propensity to visit a polarized MP is rated. Based on observed and calculated parameters, a GRP total is then predicted and priced to a client/advertiser for an online ad campaign. | 09-18-2014 |
20140278749 | METHOD AND APPARATUS FOR DETERMINING WEBSITE POLARIZATION AND FOR CLASSIFYING POLARIZED VIEWERS ACCORDING TO VIEWER BEHAVIOR WITH RESPECT TO POLARIZED WEBSITES - Websites and viewers are characterized for online advertising media campaigns, enabling online bidding capabilities for media campaigns, including pricing based on delivered Gross Rating Points (GRPs) instead of delivered impressions. GRPs for a campaign are estimated based on characterizing polarized Websites and then characterizing polarized viewers. A truth set of viewers having known characteristics is established and then compared with historic and current media viewing activity to determine a degree of polarity for different Media Properties (MPs), such as Websites offering ads, with respect to viewer characteristics such as gender and age bias. A broader base of polarized viewers is then characterized for age and gender bias, and their propensity to visit a polarized MP is rated. Based on observed and calculated parameters, bidding functionalities are enabled, including predicting a GRP total and pricing GRPs to a client and/or advertiser for an online ad campaign. | 09-18-2014 |
20140108159 | SIMULATOR FOR A REAL-TIME BIDDING SYSTEM - A multistage online auction for electronic advertising is described including simulation. A first stage auction occurs internally within a demand-side platform where multiple advertiser clients compete to determine whose advertisement is submitted to at least one external auction site. Within the internal auction, an advertiser client optionally simulates their participation. All bidders enter a bid and campaign targeting parameters. A simulating bidder's campaign is processed in real time just as those of real bidders. Ad placement opportunities received from an external auction site are filtered for each campaign producing a list of targetable impressions. For each targetable impression, the client placing the highest real bid has their ad and bid submitted to the second stage external auction. A simulating bidder receives a report on targetable impressions for their campaign. A targetable impression for a simulated bid that is higher than any real bid is reported as a winnable impression. | 04-17-2014 |