PATENT CLAIM ANALYSIS

Application Number: 16270685
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-09
Patent Classification: ["705", "007310"]

Abstract:
Provided herein are systems, methods and computer readable media for setting a benchmark conversion rate. An example method comprises accessing user search data, the user search data generated by a user interacting with a promotion and marketing service to identify a requested promotion, generating an identification pair for the search data, the identification pair comprising an identification of a promotion tuple and a geographic subdivision, generating a search velocity based on the generated identification pairs, accessing a conversion rate for the promotion tuple in a plurality of geographic subdivisions and setting a benchmark rate for a promotion tuple, the benchmark rate corresponding to the conversion rate of a subdivision of the plurality of subdivisions based on the subdivision satisfying at least one of a search velocity threshold, a prime merchant metric threshold or a conversion rate threshold.

Claim (Index 27):
The method according to  claim 22 , the benchmark rate corresponding to a conversion rate of a second identification pair meeting a given set of supply conditions, the identification pair corresponding to a subdivision of a division peer group, in an instance in which user search data fails to meet a predetermined threshold.

Metadata:
- Claim Count in Document: 62.0
- Percentile: 99.0
- Lexical Diversity: 2.37097
- Patent Class: 705.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14316264', '14316245', '15997921', '14316228', '15919742']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1827313015836997
- 35 USC 102 Novelty (BERT): 0.6070363121060675
- Combined Prediction Score: 0.2251618026359365
- Mean Citation Score: 434.321564
- Max Citation Score: 609.9004
- Similarity Product: 529.4613276121139

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