Abstract: Consumer spend by industry is modeled based on the industry sizes of wallet of consumers having a high share of wallet with a financial institution. A size of wallet is calculated for each consumer in a plurality of consumers. A share of wallet for each consumer is also calculated. A subset of the plurality of consumers whose share of wallet is above a given percentage of their size of wallet is then determined. For each consumer in the subset, an industry size of wallet is determined. A correlation between the industry size of wallet of a given consumer and one or more characteristics of the given consumer is then derived using the industry size of wallet for the consumers in the subset.

Abstract: Consumer spend by industry is modeled based on the industry sizes of wallet of consumers having a high share of wallet with a financial institution. A size of wallet is calculated for each consumer in a plurality of consumers. A share of wallet for each consumer is also calculated. A subset of the plurality of consumers whose share of wallet is above a given percentage of their size of wallet is then determined. For each consumer in the subset, an industry size of wallet is determined. A correlation between the industry size of wallet of a given consumer and one or more characteristics of the given consumer is then derived using the industry size of wallet for the consumers in the subset.

Abstract: Consumer spend by industry is modeled based on the industry sizes of wallet of consumers having a high share of wallet with a financial institution. A size of wallet is calculated for each consumer in a plurality of consumers. A share of wallet for each consumer is also calculated. A subset of the plurality of consumers whose share of wallet is above a given percentage of their size of wallet is then determined. For each consumer in the subset, an industry size of wallet is determined. A correlation between the industry size of wallet of a given consumer and one or more characteristics of the given consumer is then derived using the industry size of wallet for the consumers in the subset.

Abstract: Transaction-level data and size of wallet data may be used to identify luxury merchants. In an embodiment, luxury merchants are identified based on their average record of charge (ROC) size in combination with the percentage of high-wallet consumers who transact with the merchants. Customers having a high share of wallet spent at luxury merchants may be identified as luxury consumers.

Abstract: Consumer spend by industry is modeled based on the industry sizes of wallet of consumers having a high share of wallet with a financial institution. A size of wallet is calculated for each consumer in a plurality of consumers. A share of wallet for each consumer is also calculated. A subset of the plurality of consumers whose share of wallet is above a given percentage of their size of wallet is then determined. For each consumer in the subset, an industry size of wallet is determined. A correlation between the industry size of wallet of a given consumer and one or more characteristics of the given consumer is then derived using the industry size of wallet for the consumers in the subset.

Abstract: Consumer spend by industry is modeled based on the industry sizes of wallet of consumers having a high share of wallet with a financial institution. A size of wallet is calculated for each consumer in a plurality of consumers. A share of wallet for each consumer is also calculated. A subset of the plurality of consumers whose share of wallet is above a given percentage of their size of wallet is then determined. For each consumer in the subset, an industry size of wallet is determined. A correlation between the industry size of wallet of a given consumer and one or more characteristics of the given consumer is then derived using the industry size of wallet for the consumers in the subset.

Abstract: Transaction-level data and size of wallet data may be used to identify luxury merchants. In an embodiment, luxury merchants are identified based on their average record of charge (ROC) size in combination with the percentage of high-wallet consumers who transact with the merchants. Customers having a high share of wallet spent at luxury merchants may be identified as luxury consumers.

Abstract: Transaction-level data and size of wallet data may be used to identify industry passionate consumers. In an embodiment, industry passionate consumers are identified based on a ratio of spend within an industry to total spend of the consumer. In another embodiment, industry passionate consumers are identified based on a modeling of the consumer's wallet and determining the ratio of spend within an industry to total spend of the consumer. The consumers may be ranked according to their ratios, with the consumers having the highest ratios being identified as industry passionate consumers.

Abstract: To determine brand affiliation, a consumer criterion may be identified. A filtered group of one or more consumers may be created in which each consumer in the filtered group is subject to the consumer criterion. A percentage of consumers in the filtered group of consumers having at least one transaction with a brand of interest may then be determined. A percentage of consumers in a control group of consumers having at least one transaction with the brand of interest may also be determined. A ratio comparing the percentage of consumers in the filtered group to the percentage of consumers in the control group may then be calculated. Based on the calculated ratio, the brand affiliation between the consumer criterion and the brand of interest is determined. This affiliation can be leveraged to target marketing materials for one of the brands to consumers of the second brand.

Abstract: Consumer spend by industry is modeled based on the industry sizes of wallet of consumers having a high share of wallet with a financial institution. A size of wallet is calculated for each consumer in a plurality of consumers. A share of wallet for each consumer is also calculated. A subset of the plurality of consumers whose share of wallet is above a given percentage of their size of wallet is then determined. For each consumer in the subset, an industry size of wallet is determined. A correlation between the industry size of wallet of a given consumer and one or more characteristics of the given consumer is then derived using the industry size of wallet for the consumers in the subset.