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AWS Clean Rooms Case Study

The Weather Company and Lotame partnered to "Forecast Deeper Insights" using AWS Clean Rooms. This collaboration enabled secure data analysis, reducing insight gathering time from months to days and increasing querying efficiency by 7x, all while enhancing privacy protections for marketing and advertising purposes.

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The Weather Company, a leading provider of weather data and insights, and Lotame, a data technology company, collaborated to "Forecast Deeper Insights" by leveraging AWS Clean Rooms. This partnership aimed to generate rich audience analytics from first-party data without compromising privacy or requiring extensive engineering resources.

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The Weather Company, reaching over 360 million people monthly through its digital properties and APIs, has a long-standing partnership with Lotame, utilizing its data collaboration platform, Spherical. While The Weather Company had an optimal real-time data collection process for its web properties, its mobile app data was not fully integrated into Lotame's ecosystem. To address this, they partnered with AWS Clean Rooms to analyze mobile app data and uncover actionable insights for a travel vertical customer.

AWS Clean Rooms facilitates secure collaboration and analysis of collective datasets between companies and their partners, without sharing or copying underlying data. This capability allowed The Weather Company and Lotame to perform powerful data analysis for marketing and advertising purposes. The initiative resulted in a significant reduction in the time needed to gather insights, from months to days, and a 7x increase in querying efficiency compared to legacy ETL alternatives. This expedited process allowed product managers to obtain insights within days using basic SQL queries, a task that previously could be deprioritized in engineering queues.

The collaboration also enabled a deeper level of data granularity in analysis. The Weather Company can now set output constraints and manage segment granularity in query results, making this data available to Lotame for further enrichment. This allows for detailed comparisons, such as analyzing lifestyle and brand propensities of different traveler segments, which helps in product positioning for the travel vertical. Furthermore, the privacy-enhancing controls within AWS Clean Rooms address the evolving data protection needs in the marketing technology space, ensuring that both parties retain individual control over their data.

Following the successful proof of concept, The Weather Company and Lotame are exploring further applications of AWS Clean Rooms, including reaching different customer verticals and collaborating with other businesses that utilize similar first-party data services. This foundational technology is seen as crucial for building future data collaboration solutions and commercial products.

  • CategoryOther AI Tools

  • Securely collaborate on collective datasets without sharing underlying data

  • Analyze first-party data for marketing and advertising purposes

  • Reduce time to gather insights from months to days

  • Increase querying efficiency by 7x

  • Enhance privacy protections for data collaboration

  • Enable deeper data granularity in analysis

  • Facilitate rapid experimentation and analysis of test datasets

  • Streamline data analysis by removing operational and engineering hurdles

  • Provide actionable insights for specific customer verticals

  • Support the development of innovative data solutions and commercial products

  • Audience Analytics
  • Campaign Performance Insights
  • Data Collaboration
  • Privacy-Enhanced Analysis
  • Product Development
  • Persona Analysis
  • Cross-Vertical Insights

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