PATENT CLAIM ANALYSIS

Application Number: 16395130
Application Type: Utility
Filing Date: 2019-04
Publication Date: 2019-08
Patent Classification: ["705", "014420"]

Abstract:
Disclosed are methods and systems for generating targeted advertising campaigns for a business-to-business (B2B) company. The method comprises retrieving historical data on one or more historical experiments; determining, using a prediction engine, a prediction of a goal metric by finding a pattern in a historical metric that influences the goal metric, where the historical metric is included in the historical data; determining, using the prediction engine, correlations between one or more experimental parameters and the goal metric, based on the prediction of the goal metric; training, using the prediction engine, two or more experimental parameter models for the goal metric, based on the correlations between the one or more experimental parameters and the goal metric; generating, using a campaigns engine, one or more new experiments, each associated with the goal metric, and based on the two or more experimental parameter models; and generating, using the campaigns engine, a targeted advising campaign comprising a selected number of the new experiments.

Claim (Index 3):
The method of  claim 1 , wherein at least one of the one or more historical experiments was for the B2B company.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 100.0
- Lexical Diversity: 2.81538
- Patent Class: 705.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15297341', '13906145', '16119888', '11291439', '12363541']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1140893611694242
- 35 USC 102 Novelty (BERT): 0.5396159249296556
- Combined Prediction Score: 0.1566420175454473
- Mean Citation Score: 225.199798
- Max Citation Score: 381.73236
- Similarity Product: 220.05919423084976

Labels:
- Claim Label 101: 0
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test