Let's talk about how AI is revolutionizing the world of paid media marketing, and how paid media managers can use this technology to their advantage.
AI is like having your own personal superhero sidekick in the world of paid media marketing. It can help with tasks such as bid management, budget optimization, and audience targeting, so you can focus on the more exciting and creative aspects of your job. With AI by your side, you'll be able to produce data analysis in a snap, like The Flash, leaving more time for you to come up with new and innovative campaign ideas.
But let's not forget, AI is not a magic wand that can replace human creativity and strategic thinking, like the arc reactor can't replace Iron Man's heart. While it can help with the nitty-gritty details, it's still up to you, the paid media marketer, to understand your audience and craft compelling campaigns that resonate with them. With AI by your side, you'll be able to take your campaigns to the next level, by using data and insights to personalize and optimize your campaigns for maximum impact.
AI can also support content production. AI-powered tools can analyze data and identify patterns in consumer behavior, providing insights on what kind of content is likely to be successful. However, it's important to note that AI is not capable of understanding the nuances of human behavior and decision making. Additionally, AI-generated content may require proofing and fact-checking by human editors to ensure accuracy and credibility.
Looking forward, it is likely that Google, Facebook, Twitter and other paid media platforms will continue to build AI-powered media management tools. These platforms have already begun to incorporate AI into their advertising offerings, and it is likely that they will continue to do so in the future.
For example, Google has already implemented AI-powered tools such as Smart Bidding, which uses machine learning to optimize bids for search and shopping campaigns. Facebook also has several AI-powered tools such as dynamic ads, that uses machine learning to automatically generate ads for specific products or services based on a user's browsing history. Twitter also has developed an AI-based ad targeting system that uses machine learning to identify the most relevant users for a specific ad campaign.
More recently, Google’s PMax uses a multi-armed bandit approach. Combining AI and machine learning algorithms to optimize and automatically improve the performance of Google Ads campaigns (but thats a whole separate blog post!).
These platforms have access to a large amount of data on user behavior and are investing in AI capabilities. It's likely that they will continue to develop more advanced and sophisticated AI-powered media management tools in the future.
So in summary, just like Tony Stark needs Jarvis to help him save the world, marketers today can use AI to take their paid media game to new heights. Agencies and marketers who embrace AI will be able to stay ahead of the curve, and come up with creative and effective campaigns that will drive results and make a real difference.