The most significant shift in AI in social media marketing isn't just about creating content faster. The real change is that AI has moved from being a simple task-doer to a strategic predictive partner. We've gone from using AI to brainstorm a few social media captions to it being able to predict the future lifetime value of a customer based on their very first interaction with your brand, which changes the entire game for customer acquisition on social platforms.
For a long time, the main application of AI in marketing was automating content creation. As the hosts of Send It! discussed, this was valuable because it freed up the 60% of a marketer's time that was typically spent just trying to fill the content calendar. But today, that's table stakes. Simply churning out more AI-generated posts misses the much bigger opportunity. The old way of running broad campaigns or retargeting every single website visitor with the same message is burning money on low-intent users. Relying only on a platform's native algorithm is leaving opportunity on the table.
What started working is a more intelligent approach to targeting, powered by a deeper level of AI. Richard Harris, speaking on shows like the DTC Podcast and The eCom Ops Podcast, explains this really well. Using predictive analytics, tools can now score every single person visiting your site in real time, determining their likelihood to make a purchase not just now, but in the future. This gives you a powerful new layer of data to work with. It's no longer about what a person has done, but what they are predicted to do.
So, what should you do differently? First, you need to change your mindset. The goal isn't just to use AI, but as Joe Apfelbaum noted on The eCom Ops Podcast, to have a clear objective for it. Your objective with social media ads is now acquiring high-value customers, not just getting clicks. Start by using AI to segment your social media ad audiences based on these new predictive scores. You can create a high-intent audience of visitors that AI has flagged as
