Mastercard International Incorporated

Christopher Piccoli

Ameya Pathare

Jenna L Kanterman

Brian Pujanauski

Cornelius Kaestner

Simon Krauss

Systems and methods for dynamically determining an optimal baseline algorithm for calculating lift values are disclosed. The system receives data associated with a control strategy, and then randomly selects a control location, a time period, and an item that may not be associated with the control strategy but meets the one or more criteria of the control strategy such as relevance and sales volume. Using the randomly selected inputs and a plurality of null baselines values determined by a plurality of null baseline algorithms, the system iteratively calculates a plurality of null lift values for each of the applied plurality of null baselines values to determine a likelihood for a false positive lift for each of the applied plurality of null baselines values. An optimal baseline algorithm is selected from the plurality of null baselines algorithms based on their corresponding likelihood of false positive lifts.

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Jersey City, NJ, United States of America

Christopher Piccoli