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In this session, we look at how publishers are thinking of ways to optimise on the basis of the individual user without losing their souls (or their minds). Romain Rouquier, vice president of data for the South China Morning Post shares how South China Morning Post used personalisation to optimise the balance between content experience and promotion goals while improving the reader experience. Speaking of personalization, Erica Greene, senior engineering manager of DataDog shares some of the learnings from her experience as a machine learning engineering manager at Etsy and The New York Times to identify some of the problems with Big Tech’s approach to personalization, and some proposals for how media companies can do better. Next we turn to Will Barker, principal customer success manager with BlueConic, and Jason Kristufek, retention manager of MediaNews Group who share the subscription best practices across MediaNews Group's digital properties and how they leverage BlueConic's capabilities. Dan Kent, director of product management for personalization with Dow Jones, then walks us through how Dow Jones approaches personalisation across their brands and functions and makes personalisation intentional in product development. Anna Coenen, director of data science at The New York Times closes out this session by laying out the main components of their recommendation system and sharing how the team partners with product teams and the newsroom to bring recommendations to New York Times readers.

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