08 March 2023
Virtual

Data Science Meetup

How Der Spiegel Uses Machine Learning To Identify Its Most Valuable Potential Subscribers

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How Der Spiegel Uses Machine Learning To Identify Its Most Valuable Potential Subscribers

Acquiring new users is expensive and a core challenge to most online news websites. Reducing customer acquisition costs by a small amount can result in a large increase in profit. Better identifying potential subscribers can do this. Der Spiegel proposes effective engagement features to show they are suitable for building a subscription prediction model. For this Session, we invited Alexander Held, Data Scientist at Der Spiegel, to outline a machine learning approach used to predict lasting subscriptions and enables us to segment readers according to their affinity to subscribe.

WHEN: March 8, 2023, from 2 pm to 3.30 pm CET

WHERE: REGISTER HERE for this free roundtable discussion powered by the WAN-IFRA Data Science Expert Group.

Speakers