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 6):
The method of  claim 1 , wherein the experimental parameters is selected from the group consisting of bid, daily budget, and duration of experiment, and wherein the goal metric is selected from the group consisting of customer conversion rate, and budget.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 100.0
- Lexical Diversity: 2.81538
- Patent Class: 705.0
- Transitional Phrase Type: closed
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15297341', '13906145', '16119888', '11291439', '12363541']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1288640990911822
- 35 USC 102 Novelty (BERT): 0.537734168443302
- Combined Prediction Score: 0.1697511060263942
- Mean Citation Score: 225.199798
- Max Citation Score: 381.73236
- Similarity Product: 267.95874178452016

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