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 36):
An apparatus for utilizing a real-time determination of an achievable conversion rate to determine one or more particular merchants from among particular merchant classes to target and how many additional units will sell, wherein the determination, in real-time, of the achievable conversion rate utilizes data from one or more subdivisions located in different geographic regions, and automatically includes one or more particular subdivisions and excludes one or more other particular subdivisions, the apparatus comprising at least one processor and at least one memory including computer program code, the at least one memory and the computer program code configured to, with the processor, cause the apparatus to at least:\n access, in real-time, user search data, the user search data generated by a user interacting with a promotion and marketing service to identify a requested promotion, the user search data comprising at least location specific data; generate a promotion tuple from the search data, the promotion tuple comprised of at least two searched attributes identified from the search data, wherein the at least two searched attributes are the category of the requested promotion and the location identified by the location specific data; access a conversion rate for the promotion tuple in a plurality of different geographic subdivisions; set a benchmark rate for a promotion tuple, the benchmark rate configured for establishing a benchmark conversion rate for each of one or more identification pairs to estimate an achievable conversion rate in a given identification pair when that identification pair were stocked with adequate supply, wherein the benchmark rate corresponds to the conversion rate of a different subdivision of the plurality of different subdivisions based on the different subdivision satisfying at least one of a prime merchant metric threshold or a conversion rate threshold, wherein the benchmark rate is set to a maximum conversion rate from one of (a) an average conversion rate for the promotion tuple in a peer group of different subdivisions or (b) a pre-defined percentile of all conversion rates for the promotion tuple across all subdivisions in the peer group; identify one or more providers in the subdivision having the benchmark rate; transmit information identifying the one or more providers to a lead generation module; and generate a prioritized call list for each of one or more sales resources, the prioritized call list comprising information identifying the one or more providers.

Metadata:
- Claim Count in Document: 62.0
- Percentile: 99.0
- Lexical Diversity: 2.37097
- Patent Class: 705.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14316264', '14316245', '15997921', '14316228', '15919742']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1616835146810356
- 35 USC 102 Novelty (BERT): 0.6229884360393205
- Combined Prediction Score: 0.2078140068168641
- Mean Citation Score: 434.321564
- Max Citation Score: 609.9004
- Similarity Product: 592.6078359849454

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