Case Study: Condé Nast transforms publishing with Snowplow data and AI on AWS and Databricks

Condé Nast transforms 800+ properties with Snowplow and AWS, cutting rights checks from weeks to minutes

Conde Nast, a major global media company with iconic brands like Vogue and The New Yorker, faced a significant challenge with its fragmented technology infrastructure. Its 22+ brands operated on independent tech stacks and data platforms, preventing unified audience insights and making cross-brand analysis prohibitively slow and expensive. To modernize and become data-driven, Conde Nast partnered with Snowplow to implement a unified behavioral data platform.

Snowplow was deployed globally as the primary first-party data ingestion layer across all of Conde Nast's brands and markets. This solution captured standardized, granular engagement data, which was validated and enriched for compliance. The high-quality data feeds from Snowplow enabled reliable modeling and machine learning, powering near real-time analytics for editorial, advertising, and commerce teams. This foundational data strategy was critical for Conde Nast's subsequent AI innovations and its shift from opinion-driven to data-driven decision-making.

Condé Nast