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Applied Predictive Technologies

A provider of business testing and predictive analytics software, now part of Mastercard.

Last updated August 25, 2026

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Overview

Applied Predictive Technologies (APT) is a U.S. business software company that provides cloud-based testing, experimentation, and analytics tools for enterprises. Its platform is designed to help companies compare the real-world effects of business initiatives, including marketing programs, pricing measures, store operations, and customer-management strategies, so that decisions can be based more systematically on observed data. Founded in 1999 and headquartered in Arlington, Virginia, the company was acquired by Mastercard in 2015 and became part of Mastercard's analytics and decision-support business. Publicly available information is insufficient to confirm its latest standalone organizational structure, detailed product portfolio, or management team.

History

Applied Predictive Technologies was founded in 1999 and focused on helping businesses evaluate the effects of commercial decisions through controlled testing and data analysis. Rather than relying solely on historical correlations or managerial judgment, its approach was intended to let companies test initiatives in areas such as marketing, pricing, store operations, and other business functions, and then assess which actions produced measurable changes. The company was headquartered in Arlington, Virginia. Mastercard acquired Applied Predictive Technologies in 2015, after which APT became part of Mastercard's analytics and enterprise-services capabilities. Reliable information in the supplied material is insufficient to establish the founders, transaction value, post-acquisition branding arrangements, or the company's current standalone scale.

  • 2015
  • 1999

Products and positioning

  • Test & Learn

    APT's core enterprise software platform for designing, running, and analyzing business tests. It helps companies evaluate the real-world effects of marketing, pricing, and operational initiatives and apply the findings to subsequent decisions.

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