The Consumer Direct division of U.S. Bank, a subsidiary of U.S. Bancorp, found that its marketing campaigns were not delivering the returns they once were, and relative to a control population it was failing to target customers with the most relevant message. U.S. Bank looked for a solution that would enable predictions of lift in customer response relative to a control population – i.e. incremental models that could be easily refreshed and updated to optimize campaign performance. After two successful trials, U.S. Bank implemented Portrait Uplift Optimizer and has since achieved significant gains in incremental revenue together with reduced costs through reduced mailing volumes.
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