Systems and methods for predicting and pricing of gross rating point scores by modeling viewer data
US10007926B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 30, 2013 |
| Grant date | Jun 26, 2018 |
| Priority date | — |
| Expiry date | Mar 29, 2034 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/0273
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
Abstract
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.