Artificial intelligence is a phenomenon that has defined the current and future market and its growth has brought significant change to the marketing industry. This is because, through the help of Artificial Intelligence in the field of marketing, businesses can now automate tasks, gain more responses from consumers through personalized marketing messages, and produce content more efficiently. Specifically, Mailchimp’s 2023 report roughly 90% of marketers think that their businesses need to adopted AI for them to be able to try and cope up with the customers’ demands.
AI marketing tools work in a manner that imitates human thinking and requirement-resolving skills. The use of Artificial Intelligence in marketing techniques can improve the ability of professionals to produce advertisements faster and find out the outcomes for customer data analysis with higher precision.
It is necessary to also define what exactly is AI, so we can understand the key components of this technology
- Machine Learning (ML): Computers are able to decide how they should solve a problem without being told using ML algorithms, thus learn from the data. Applicability of Machine Learning in Marketing: In the field of marketing, we can implement machine learning for the segmentation of customers and Predictive analysis.
- Natural Language Processing (NLP): NLP thus refers to the ability of computers to comprehend and create such outputs that are composed of human language. In marketing, NLP is largely applied in developing content that may include; images, videos, and text among others.
AI can help marketers save a lot of time and engage in more creative work because it relieves marketers from time-consuming monotonous processes, e.g., sending marketing e-mails to potentially interested customers several times a week to hundreds or even thousands of them.
Moreover, undertaking market research using a traditional approach like handling consumer information manually may be tiresome and time-consuming and in the process consume a lot of resources. Marketing automation with the help of AI provides the solution to these challenges. The applied NLP techniques allow for the rapid processing of large data that could be received from the survey focus groups or SNS posts. This makes it easier for the marketer who is always on the lookout for patterns or trends that may be exhibited by the consumer at a faster rate than a human’s eye could accomplish. Before the recent emergence of generative AI models such as ChatGPT, giving brainstorming and writing, and editing content on different subjects may take hours or even days.
Several of the AI tools prompt the user on what information should be input for optimized outcomes. For instance, HubSpot’s Campaign Assistant enables marketers to define the goals of the campaign, writing tone, target audience, and CTAs. Most of the content created by AI marketing tools is used as a basis for further ideas or concepts to be implemented by marketers. However, it should be understood that like any other tool, AI writing solutions have some weaknesses. They may produce inaccurate results and may have to involve people for corrections. Thus, to guarantee that the information is relevant, accurate and truthful, and to adhere to the planned marketing approach, brand character, and tone, marketers need to revise such content.