Condé Nast

Condé Nast is a magazine publisher. In the U.S., it produces 18 consumer magazines, including Architectural Digest, GQ, The New Yorker, Vanity Fair and Vogue. It also has four business-to-business publications, 27 websites and more than 50 apps for mobile and tablet devices.

 “Informatica Data Quality helps transform Condé Nast from a ‘data as a nuisance’ company to a ‘data as an asset’ company.”

— Justin Glatz, Director of Business Intelligence, Condé Nast


Business Need

A shift to Internet-based content, coupled with more subscribers choosing mobile platforms, is providing new revenue opportunities—but it has resulted in a fragmented set of audiences. On-line and print customer data was scattered across multiple systems.

To sell content to these omnichannel audiences, Condé Nast needed to understand who the content subscribers were, their preferences, location, and behavior.



The company was challenged to improve the quality of customer address data, remove duplicate postal addresses, and apply geo-coordinates to address data.

This process needed to run frequently in order to match customers across different Condé Nast publications, match on-line customers with print customers and identify their geo-location.


Solutions & Results

Deployed Informatica to integrate data from diverse sources in various formats and build accurate customer knowledge across multiple media titles and channels.

Created lifetime opportunity to sell, merchandize, and promote premium media brands.

Helped cross-sell and up-sell complementary publishing titles and services.

Increased customer base and drove revenue growth.

Ensured high standard of accuracy and quality in customer data.

Enabled geo-location for more effective customer targeting.

Supported company in drive to increase direct revenues from 20% to 30%.


Products & Services

Informatica PowerCenter

Accesses, integrates, and delivers any and all data quickly and cost-effectively, without hand coding.

Informatica Data Quality

Provides projects and initiatives with clean, high-quality data regardless of size, data format, platform, or technology.

Success Stories

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