PATENT CLAIM ANALYSIS

Application Number: 15985639
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-11
Patent Classification: ["725", "035000"]

Abstract:
The technology relates to sequential or tailored delivery of advertising content across a plurality of media conduits. The invention achieves sequential story telling for advertising campaigns in place of single-series advertising, by delivering over a period of several sessions on a variety of devices. An advertiser can air a campaign on a consumer individual's cell phone device, continue the second portion of the campaign via a desktop browser session, and conclude with the third portion of the campaign on the individual's OTT device. The technology provides advanced controls over targeting and scheduling with high precision.

Claim (Index 10):
A method for optimizing an advertising campaign, the method comprising:\n receiving a pricepoint and one or more campaign descriptions from an advertiser, wherein each of the campaign descriptions comprises a schedule for sequential delivery of one or more items of advertising content across two or more devices accessed by a consumer, wherein the devices include a TV and one or more mobile devices, and a target audience, wherein the target audience is defined by one or more demographic factors selected from: age range, gender, and location; defining a pool of consumers based on a graph of consumer properties, wherein the graph contains information about the devices used by each consumer, demographic data on each consumer and similarities between pairs of consumers, and wherein the pool of consumers comprises consumers having at least a threshold similarity to a member of the target audience; receiving a list of inventory from one or more content providers, wherein the list of inventory comprises one or more segments for TV and online; identifying one or more advertising targets, wherein each of the one or more advertising targets comprises a sequence of slots consistent with one or more of the campaign descriptions, and an overall cost consistent with the pricepoint; allocating the advertising content of the one or more campaign descriptions to the one or more advertising targets based on the inventory; for each slot in the sequence of slots, making a bid on the slot consistent with the pricepoint; for a first slot where a bid is a winning bid:\n instructing a first content provider to deliver a first item of advertising content in the first slot and a first performance tag to the pool of consumers on a first device; \n receiving a first datum from the first performance tag to validate whether a particular consumer viewed the first item of advertising content on the first device; and \n depending on the first datum, for a second slot where a bid is a winning bid, instructing a second content provider to deliver a second item of advertising content in the second slot and a second performance tag to the particular consumer on a second device, wherein at least one of the first device and the second device is a TV; \n receiving a second datum from the second performance tag to validate whether a particular consumer viewed the second item of advertising content on the second device; and \n applying a machine learning technique to the first and second performance tags, in order to improve the allocating the advertising content of the one or more campaign descriptions to the one or more advertising targets.

Metadata:
- Claim Count in Document: 23.0
- Percentile: 93.0
- Lexical Diversity: 1.55224
- Patent Class: 725.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15219264', '15421243', '15219262', '15985634', '15219259']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5199085928522168
- 35 USC 102 Novelty (BERT): 0.5868874890177977
- Combined Prediction Score: 0.5266064824687748
- Mean Citation Score: 376.238824
- Max Citation Score: 432.2406
- Similarity Product: 387.7972440493584

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test