How Der Spiegel Uses Machine Learning To Identify Its Most Valuable Potential SubscribersRegister here
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.