Marketing School | Digital Marketing | Online Marketing

Why Machine Learning Sucks for Predicting Ad Success & What Big Media Layoffs Mean for Marketing

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Sinopse

In episode #2656, we discuss a paper that reveals the limitations of sophisticated ad engagement propensity scoring techniques. Emphasizing the importance of creativity and the need to add a unique spin to marketing strategies, the conversation then shifts to the increasing number of media layoffs in 2023, with major companies like BuzzFeed experiencing significant stock drops. We stress the importance of adapting marketing approaches to stay ahead in a rapidly changing landscape. Tune in for valuable insights and predictions.   Don’t forget to help us grow by subscribing and liking on YouTube!   Check out more of Eric’s content (Leveling UP YT) and Neil’s videos (Neil Patel YT)    TIME-STAMPED SHOW NOTES: (00:00) Today’s topic: Why Machine Learning Sucks for Predicting Ad Success & What Big Media Layoffs Mean for Marketing (00:34) Discussion on the limitations of machine learning algorithms in predicting campaign success (01:37) Graph showing the discrepancy between machine learning models and control t