Method, system, and computer program for determining ranges of potential purchasing amounts, indexed according to latest cycle and recency frequency, by combining re-purchasing ratios and purchasing amounts
First Claim
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1. A computer implemented method for determining ranges of purchasing amounts, said method comprising:
- accessing purchasing data from a historical database of confirmed purchasers such that each confirmed purchaser has purchased at least one item having a non-null monetary value, wherein the historical database comprises the purchasing data for each confirmed purchaser within a historical duration that includes N consecutive generations and T consecutive cycles, wherein each generation is associated with a generation group consisting of all confirmed purchasers who have made a first purchase of an item of the at least one item within the associated generation, wherein each cycle of the T consecutive cycles is a time unit for analysis of the purchasing data for each confirmed purchaser, wherein N is at least 2, and wherein T is at least 3;
determining on a computer processor re-purchasing ratios from the accessed purchasing data, wherein the re-purchase ratios indicate a probability of purchasing in a next cycle of the T consecutive cycles immediately following a latest cycle of the T consecutive cycles, wherein the re-purchase ratios are indexed according to generation group, latest cycle, and recency frequency class, wherein the recency frequency class is a binary descriptor of purchases over M consecutive cycles of the T consecutive cycles, wherein the M consecutive cycles end with the latest cycle, and wherein M is at least 2;
determining purchasing amounts from the accessed purchasing data, wherein the purchasing amounts are indexed according to generation group, latest cycle, and recency frequency class;
computing on the computer processor potential purchasing amounts in the next cycle by combining the re-purchasing ratios and the purchasing amounts, wherein the potential purchasing amounts are indexed according to latest cycle and recency frequency class; and
outputting the potential purchasing amounts to an output device of a computing system;
wherein the recency frequency class is identified by a concatenation of binary values respectively corresponding to the cycles of the M consecutive cycles, wherein the binary value for the respective cycle is 1 if a purchase of one or more items of the at least one item occurred in the respective cycle, and wherein the binary value for the respective cycle is 0 if a purchase of one or more items of the at least one item did not occur in the respective cycle.
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Abstract
A system and a method for selecting potential purchasers from a historical collection of confirmed purchasers. The method allows definition of a set of purchasing variables in relation to the confirmed purchasers, and computation of both a plurality of re-purchasing ratios and a plurality of purchasing amounts using the set of purchasing variables. Potential purchasing amounts are generated by combining the previous results.
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Citations
13 Claims
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1. A computer implemented method for determining ranges of purchasing amounts, said method comprising:
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accessing purchasing data from a historical database of confirmed purchasers such that each confirmed purchaser has purchased at least one item having a non-null monetary value, wherein the historical database comprises the purchasing data for each confirmed purchaser within a historical duration that includes N consecutive generations and T consecutive cycles, wherein each generation is associated with a generation group consisting of all confirmed purchasers who have made a first purchase of an item of the at least one item within the associated generation, wherein each cycle of the T consecutive cycles is a time unit for analysis of the purchasing data for each confirmed purchaser, wherein N is at least 2, and wherein T is at least 3; determining on a computer processor re-purchasing ratios from the accessed purchasing data, wherein the re-purchase ratios indicate a probability of purchasing in a next cycle of the T consecutive cycles immediately following a latest cycle of the T consecutive cycles, wherein the re-purchase ratios are indexed according to generation group, latest cycle, and recency frequency class, wherein the recency frequency class is a binary descriptor of purchases over M consecutive cycles of the T consecutive cycles, wherein the M consecutive cycles end with the latest cycle, and wherein M is at least 2;
determining purchasing amounts from the accessed purchasing data, wherein the purchasing amounts are indexed according to generation group, latest cycle, and recency frequency class;computing on the computer processor potential purchasing amounts in the next cycle by combining the re-purchasing ratios and the purchasing amounts, wherein the potential purchasing amounts are indexed according to latest cycle and recency frequency class; and outputting the potential purchasing amounts to an output device of a computing system; wherein the recency frequency class is identified by a concatenation of binary values respectively corresponding to the cycles of the M consecutive cycles, wherein the binary value for the respective cycle is 1 if a purchase of one or more items of the at least one item occurred in the respective cycle, and wherein the binary value for the respective cycle is 0 if a purchase of one or more items of the at least one item did not occur in the respective cycle. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)
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Specification