10 Ways A.I. Improves Marketing
Do not fear the robot overlords, they are here to help us. No, seriously! With the exponential growth and integration of A.I. across industries, especially in the last two years, many still speculate on whether or not A.I. will help or hurt humanity in the long run.
While it is true that Artificial Intelligence has many flaws, it is extremely important to note that A.I. is just that, artificial, and subsequently will always require the input from human beings in order to remain proficient as things evolve. In another article scheduled for a later date, I will discuss a very profound discussion I had with ChatGPT regarding A.I. eliminating jobs and thus the need for humanity. However, what I initially feared turned out to highlight a very key aspect in the evolution of A.I. and I was profoundly enlightened as to how A.I. views humanity in our symbiosis with it. But again, that's for a later date.
In this article, I worked with ChatGPT to break down the top ten most beneficial uses of Artificial Intelligence technology in its application to marketers. It's important to bear in mind that while A.I. can do much of the work for us, that would be an error to approach the tech in such a shallow manor. It is best to understand that A.I. is more of a tool that can be used as a great baseline across the board, and the addition of attentive human review and input is where the improvement occurs. A.I. will offer a great starting point for ideas and functions to help get the ball rolling, but it is up to the end user to interpret and refine the goal of the task at hand.
Without further ado, here are 10 ways that A.I. is improving the way we market.
1.) Customer Segmentation and Targeting:
AI helps marketers analyze vast amounts of data to identify patterns and segment audiences based on demographics, behavior, and preferences. Marketers can use this information to create personalized and targeted campaigns that are more likely to resonate with specific customer segments.
2.) Personalization:
AI enables dynamic content creation and personalization by tailoring messages, recommendations, and offers to individual users based on their past behavior and preferences. Personalized experiences lead to increased engagement, customer satisfaction, and better conversion rates.
3.) Chatbots and Virtual Assistants:
AI-powered chatbots and virtual assistants provide real-time customer support and assistance on websites and social media platforms. They enhance customer interactions, answer queries, and guide users through the sales funnel, improving overall user experience. It's important to note that using chatbots in CX, and CS applications, it can be often very vague and offer correspondence which loses the personal touch. Take the recent incident regarding Bethesda customer service responding to negative customer reviews of Starfield in what many are speculating was directed and driven by A.I. resulting in a less than satisfactory take on their customers. In the end, the customer is always right, and that is something A.I. chatbots might need the occasional assistance from human refinement in order to get it right, so to speak.
4.) Predictive Analytics:
AI algorithms can analyze historical data to make predictions about future trends and customer behavior. Marketers can use predictive analytics to forecast sales, identify potential leads, and optimize marketing strategies for better ROI. Once again, these predictions are based on a vast and constantly evolving database of knowledge and programming which can easily lead to inaccurate predictions as well as misconceptions regarding historical events. There have been several times in which I've had to correct ChatGPT by providing additional context, at which point the responses would adjust with consideration to the added context.
5.) Content Creation and Curation:
AI tools can generate and curate content, including articles, social media posts, and product descriptions. This helps marketers save time, maintain a consistent posting schedule, and ensure that content aligns with the interests of the target audience. It's quite often that A.I. will offer drafts of content that provoke new ideas that marketers weren't even considering. This is one of the more interesting applications of A.I. where rather than letting a human or A.I. dictate the final creative content, it is far more beneficial to work with A.I. as if working in an artistic or creative team.
6.) Email Marketing Optimization:
AI helps optimize email campaigns by analyzing user behavior and response patterns. Marketers can use AI to personalize email content, optimize send times, and improve subject lines for higher open and click-through rates. This is where A.I. can really help to provide faster workflows, given that it is provided the proper information on what the user prefers and said information is reviewed before letting the automation take over.
7.) Social Media Management:
AI tools can monitor social media channels for mentions, trends, and customer sentiment. Marketers can use this information to make data-driven decisions, engage with the audience, and address concerns promptly. In this way, A.I. tends to help fast track where we look and analyze market and social media data.
8.) Ad Targeting and Optimization:
AI algorithms analyze user data to optimize ad targeting, ensuring that advertisements are shown to the most relevant audience. Programmatic advertising platforms leverage AI to automate the buying of ads and optimize campaigns in real-time. In a balanced fashion, A.I. will provide strategies, keywords and copy which help to drive campaigns to wider audiences from angles that are more often overlooked than utilized.
9.) Customer Relationship Management (CRM):
AI enhances CRM systems by providing insights into customer behavior, preferences, and potential churn risks. Predictive analytics in CRM can help marketers tailor their communication strategies and retain valuable customers. But again, this is one of those areas where A.I. should be reviewed closely as it can often function without considering or perceiving the human element of customer relationships.
10.) Voice Search Optimization:
With the rise of voice-activated devices, AI is used to optimize content for voice search. Marketers need to adapt their strategies to accommodate the growing number of users who use voice commands to search for information. The improvements and expedience A.I. provides for those who may be unable to type is getting better and better every day. Likewise, A.I. is absolutely going in a direction that provides a far more convenient and comfortable experience for those who may be disabled or unable to speak by having the ability to identify sign language.
So, there you have it. If you would like to see more content like this, let us know by subscribing to the blog and dropping a comment. Keep an eye out for the next article about a very profound conversation I had with ChatGPT about it's symbiosis with humanity. Let's just remember that these tools are always great and beneficial... unless they get in the wrong hands. But wouldn't it be interesting if our greatest fears of Artificial Intelligence indeed come to fruition, but then A.I. saves us from itself?
