1 day ago
AI & Marketing: The Far-Reaching Effects of Machine Learning
In last week's episode, we discussed how digital advertising platforms such as Google Ads are already implementing and relying on machine learning. The reach of AI in digital marketing does not stop with ads. As companies reluctantly become less dependent on third-party data, they are turning to machine learning to fill the data void. AI can help better visitor behaviors and interests without breaching privacy expectations. Pioneering uncharted frontiers have historically brought great rewards. Equally so, they have brought great risks and dangers. This can be observed in the digital marketing industry as a whole as large tech platforms are creating new ways for businesses to target and engage their customers. Meta (formerly known as Facebook) is being sued in a class action lawsuit for its Meta Pixel's role in helping marketers target visitors of medical sites. Meta has also released a new chat AI they call "BlenderBot 3". This chatbot can discuss almost any topic. As more users engage with Meta's latest AI, the better the model will be trained. BenderBot can have some views we think its creators would disagree with, including its view on Mark Zuckerberg. At this point, nearly all marketing companies are implementing and experimenting with machine learning in some capacity, including Google, Meta, Microsoft, Amazon, LinkedIn, and HubSpot. With much uncertainty on where this will all lead, a few things are certain: more lawsuits, increased reliance on AI, and the realization that it will become more challenging to control how your ads and messaging will be presented in the public light.
In this week's Digital Marketing Mondays, Hans and Devin discuss the growing role AI will have in the marketing industry and what you need to understand to make sure you have the most control over where and how your ads are being displayed.