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Yield optimization of cross-screen advertising placement

A technology for advertising and advertisers, applied in the field of revenue optimization for cross-screen advertising, it can solve problems such as marriage wishes, pregnancy or other lifestyle changes that are not easy to evaluate or predict

Active Publication Date: 2019-03-01
VIDEOAMP INC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

While it is easy to adjust an individual's age over time, other modifiable characteristics such as marriage desire, pregnancy, or other lifestyle changes are not easily assessed or predicted

Method used

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  • Yield optimization of cross-screen advertising placement
  • Yield optimization of cross-screen advertising placement
  • Yield optimization of cross-screen advertising placement

Examples

Experimental program
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Effect test

example 1

[0321] Example 1: User Interface

[0322] Figures 10A-10D An exemplary user interface is shown in , and in these successive figures, interfaces for successive steps in a revenue optimization workflow, such as may be performed in an MVPD environment, are shown.

[0323] exist Figure 10A , the details of the activity are uploaded to the system through the front end.

[0324] exist Figure 10B , provides a user front end for organizing the hard constraints associated with existing ad inventory units.

[0325] exist Figure 10C , a user front end is provided to show that no violations Figure 10B Ad units with any hard constraints in the

[0326] exist Figure 10D , the front end shows the system scenario modeling interface with weighted implicit soft constraints and predicted payoffs under selected weights.

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Abstract

The current invention relates to a computer-generated method for optimizing placement of advertising content across multiple different devices. The system permits targeting of advertising content to consumers on TV and mobile devices that can be operated from within a multi-channel video programming distributors environment. The system is able to use hard and soft constraints to come up with a number of possible targets for an advertising campaign and can then provide tools for optimizing those targets. The system can allocate advertising campaigns and plans to various inventory types based onthe probability of accurate consumer matching. Consumer matching can be achieved by generation of look-alike models in a consumers device graph to predict future consumption behavior. The system includes an interface through which a user can adjust various constraints and optimize a distributors revenue yield from advertising.

Description

[0001] priority [0002] This application claims priority under 35 U.S.C. § 119(e) to U.S. Provisional Applications 62 / 278,888, filed January 14, 2016, and 62 / 290,387, filed February 2, 2016, and is filed on Continuation-in-Part of U.S. Patent Application Serial No. 15 / 219,262, filed July 25, 2016, the entire contents of which are hereby incorporated by reference. [0003] related application [0004] This application is related to the following U.S. patent applications: U.S. Patent Application Serial No. 15 / 219,259, filed July 25, 2016, and entitled "TARGETING TVADVERTISING SLOTS BASED ON CONSUMER ONLINE BEHAVIOR"; U.S. Patent Application Serial No. 15 / 219,268 for "CROSS-SCREEN MEASUREMENT ACCURACY INADVERTISING PERFORMANCE"; U.S. Patent Application Serial No. 15 / 219,264, filed July 25, 2016, and entitled "SEQUENTIAL DELIVERY OF ADVERTISING CONTENT ACROSS MEDIA DEVICES"; and Provisional Application Serial No. 62 / 317,440, filed April 2, 2016; the entire contents of which are h...

Claims

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Application Information

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IPC IPC(8): H04N21/2668H04N21/258H04N21/458H04N21/2543G06Q30/02
CPCG06Q30/0276G06Q30/0273G06Q30/0251H04N21/2668H04N21/812H04N21/2543H04N21/25883H04N21/26225H04N21/258
Inventor D·雷R·麦克雷D·古洛J·普拉萨德
Owner VIDEOAMP INC
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