Artificial intelligence is grabbing the attention of professionals from every field because of its countless possibilities. It has already found applications in various industries. It is used everywhere, from automobiles to health sciences and logistics to supply chains. The gadgets we use every day also use AI for various purposes. Businesses worldwide are using AI and its subsets for various purposes. Artificial Intelligence (AI) has also found its applications in the digital marketing spectrum. The use of AI is revolutionizing the digital marketing spectrum so that digital marketing and AI have started working hand in hand with each other. There are multiple use cases of AI in the digital marketing spectrum that are making the job of digital marketers easier and allowing them to get productive results.
Ultimately, the success in digital marketing because of AI and its subsets like Machine Learning and Natural Language Processing (NLP) has enabled businesses to generate more revenue. The surprising outcomes of integrating AI in digital marketing have urged digital marketers to incorporate AI use cases in their strategies. Here in this article, we will discuss a few applications of AI in digital marketing and the outcomes because of them. Further details are given below:
Table of Contents
Marketing Data Management
Marketing or digital marketing may sound simple to an average Joe, but it is not. Whether conventional or digital, marketing requires positive outcomes in terms of ROI. Hence, digital marketers must take the help of tools that can help them manage and sort raw data collected from various sources and obtain the required information from it. This information is then used to build strategies and specify the budget for various campaigns according to the effectiveness reflected by analytics. However, managing and sorting huge amounts of data from various sources is not manually possible. Hence, various AI-based tools manage and sort raw data from multiple sources and obtain the required information for easier application.
Advanced Search
Another amazing use case of AI in digital marketing is its ability to help users through web searches. A perfect example is the frequent use of voice search to find products online through AI assistants like Google Assistant, Alexa, and Siri. Websites are now adding code to their websites to work following the instructions from these AI assistants. If done correctly, it can work wonders for businesses. Similarly, a reverse image search method allows users to find their desired products easily. This is possible even if the consumers know little about the online product they are searching for. They simply need to search by image of the desired product, and algorithms based on AI and machine learning will recognize the pattern and display similar results. Hence, online search is easier because of AI.
Consumer Segmentation
All consumers are not equal. They come from various regions, demographics, and psychographics. Therefore, businesses offering products or services to consumers should be aware of the various segments or types of consumers they are dealing with. In the old days, the process of categorizing consumers, called segmentation, was done theoretically. The incorporation of AI in the digital marketing spectrum has changed things significantly. The information obtained from marketing data management allows businesses to segment and categorize consumers according to their needs, values, demographics, and regions. Doing so allows businesses to serve various consumers and market their products to them much better than Digital marketing artificial intelligence.
Personalized Customer Experience
Another use case of AI in the digital marketing spectrum is personalized customer experience through various marketing campaigns. Better customer experience through various marketing campaigns is ensured by personalized content. Modern-day customers want content that is relevant to them. Once they get the content they want, they will likely convert and purchase. Personalized customer experience is possible because of the segmentation of consumers. The segmentation will allow you to display ads according to the requirements of a particular segment. Moreover, you can share their desired content through email marketing with personalized headlines. Moreover, consumer segmentation and resultant experience enhance brand loyalty.
Content Creation and Chatbots
The recent revolution brought by AI into the digital marketing spectrum is the introduction of AI language models and chatbots. The purpose of AI-based chatbots is to offer real-time interaction to consumers and answer their queries immediately for a better experience. Many businesses have been using AI chatbots already, while others are in the process of incorporating them into their websites. In addition, AI language models like ChatGPT that use NLP (Natural language processing) and Machine Learning to understand prompts and act accordingly are used to create content. These language models can help digital marketers obtain valuable content for digital marketing purposes. Additionally, they will help them articulate crisp and meaningful product descriptions that are easy to understand by an average Joe.