Analyzing Patterns within Transaction Data
First Claim
1. A computer-assisted method comprising:
- (i) accessing a memory device to obtain a first transaction data set detailing purchases made by a consumer at a first merchant;
(ii) extracting, by a processor, the first transaction data set;
(iii) accessing the memory device to obtain a second transaction data set detailing purchases made by the consumer within a maximum time of the purchases made in the first transaction data set at a second merchant;
(iv) extracting, by the processor, the second transaction data set;
(v) calculating a frequency with which the purchases in the first transaction data set are made within the maximum time of the purchases made in the second transaction data set by the consumer;
(vi) generating an output with an indicator of the frequency with which the purchases in the first transaction data set are made within the maximum time of the purchases made in the second transaction data set by the consumer.
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Abstract
A transaction data analyzer associated with a financial entity discovers patterns and/or sequences in consumer transaction data. The analyzer may provide businesses with feedback on spatiotemporal patterns in consumer spending habits. In certain embodiments, the transaction analyzer discovers the frequency of a sequence of purchases made at a first merchant immediately followed by purchases made at a second merchant. In another embodiment, the transaction analyzer discovers trends in consumer purchases made during the weekday versus those that are made during the weekend. The results of the analysis may be used in a variety of ways, including, but not limited to, risk mitigation, merchant/consumer prospecting, and targeted promotions.
64 Citations
20 Claims
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1. A computer-assisted method comprising:
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(i) accessing a memory device to obtain a first transaction data set detailing purchases made by a consumer at a first merchant; (ii) extracting, by a processor, the first transaction data set; (iii) accessing the memory device to obtain a second transaction data set detailing purchases made by the consumer within a maximum time of the purchases made in the first transaction data set at a second merchant; (iv) extracting, by the processor, the second transaction data set; (v) calculating a frequency with which the purchases in the first transaction data set are made within the maximum time of the purchases made in the second transaction data set by the consumer; (vi) generating an output with an indicator of the frequency with which the purchases in the first transaction data set are made within the maximum time of the purchases made in the second transaction data set by the consumer. - View Dependent Claims (2, 3, 4, 5)
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6. A computer-readable storage medium having computer-executable program instructions stored thereon that when executed by a processor, cause the processor to perform steps comprising:
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(i) accessing a memory device to obtain a first transaction data set detailing purchases made by a consumer at a first merchant; (ii) extracting, by the processor, the first transaction data set; (iii) accessing the memory device to obtain a second transaction data set detailing purchases made by the consumer within a maximum distance of the purchases made in the first transaction data set at a second merchant; (iv) extracting, by the processor, the second transaction data set; (v) calculating a frequency with which the purchases in the first transaction data set are made within the maximum distance of the purchases made in the second transaction data set by the consumer; (vi) generating an output with an indicator of the frequency with which the purchases in the first transaction data set are made within the maximum distance of the purchases made in the second data set by the consumer. - View Dependent Claims (7, 8, 9, 10, 11)
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12. An apparatus comprising:
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(i) a user interface for allowing a user to provide inputs; (ii) a core transaction analyzer comprising a processor for analyzing spatiotemporal trends in consumer transaction data, the analysis chosen from the group consisting of;
understanding a frequency of weekend versus weekday purchases at a merchant, understanding a frequency of sequences of purchases made at merchants located within a specified distance of one another, and understanding a frequency of sequences of purchases made within a specified time of one another at merchants located within a specified distance of one another; and(iii) an output module for grouping results of the analysis. - View Dependent Claims (13, 14, 15, 16, 17, 18)
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19. A computer-assisted method comprising:
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(i) accessing a memory device to obtain a first transaction data set detailing purchases made by a consumer at a first merchant during weekdays; (ii) extracting, by a processor, the first transaction data set; (iii) accessing a memory device to obtain a second transaction data set detailing purchases made by the consumer at the first merchant during weekends; (iv) extracting, by the processor, the second transaction data set; and (v) generating an output with an indicator of the purchases made during the weekdays and an indicator of the purchases made during the weekends at the first merchant. - View Dependent Claims (20)
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Specification