Marketing is becoming a vital aspect of any company’s business domain. It allows the company to thrive and expand. Without the right marketing strategy and roadmap, it would be almost impossible to attract and engage customers, which can cause a notable impact on the growth and even decline the revenue streams. Therefore, it is crucial to stick with the contemporary marketing trends to stay ahead of the rivals and perform better.

Modern times have brought incredible evolution to the marketing industry. The Internet has opened up many new opportunity corridors, and people are now focusing more on digital marketing than conventional marketing practices. In fact, digital marketing occupies almost half of the total marketing shares. One of the most notable advancements in digital marketing is integrating artificial intelligence and machine learning in marketing practices to ensure rational decision-making and smart effort in the right direction.

Use Cases of AI in Digital Marketing

AI for Automated Processes

Human insight is still crucial despite the skyrocketing trend of adopting AI technology. AI is becoming a primary aspect of a modern paid media strategy. By automating the iterative tasks, you can spare a lot of time and money that can be utilized elsewhere in the core business operations. Investing less time on iterative tasks can also boost productivity and performance.

AI for Content Creation and Curation

Producing quality content is a primary aspect of establishing authority within your industry or niche. Ensuring authority improves organic rankings and transparency in the Search Engine Results PagesSERPs. Conventional Marketers may be reluctant to let AI take the controls and generate content autonomously, but this technology is closer than one may think. 

The New York Times, Reuters, and Washington Post already use AI to generate content. The Press Association, for instance, can now produce 30,000 local news articles a month using AI. You might think that these are formulaic like who, what, where and when stories, and you are right; some of them certainly are. But now, AI-produced content has expanded beyond formulaic production to more creative writing domains such as poetry and novels.

Also Read: AI Trends and Future Insights for 2022 and Onwards

The methodology that automatically produces a written narrative from data is called natural language generation (NLG), which is already used for different content generation needs from business intelligence dashboards, business data reports, personalized email, and in-app messaging communication to client financial portfolio updates, etc.

Now digital marketers will have more time to work on strategic growth plans, face-to-face meetings, and other core business areas where human assistance is more valuable than AI.

AI to Predict Customer Behavior

Predictive analytics is another of the most exciting use cases of AI for digital marketers. Many predictive analytics companies encourage users to visualize and analyze data in a secure environment, such as Microsoft Power BI, a self-service platform introduced for non-technical business users. Now you don’t need to be an expert in big data to adapt to the new technology. 

Microsoft Power BI 

The accuracy promised by the AI tool is so overwhelming that you can predict customers’ future behaviour based on past behaviour, data, and statistical models. In this aspect, AI is not only saving time but ensuring precision. When customers’ actions can be predicted accurately, you can showcase them with highly personalized ads and notifications that will lead them through a buying funnel that improves engagement and boosts sales.

In the same way, AI-based digital marketing can let you acknowledge your target market segment. Outlining your Ideal Customer Profile – ICP is crucial to extract the most out of your marketing budget because spending time on leads that aren’t going to buy is a waste of time and money. 

As far as self-evaluation is concerned, Modern AI tools can analyze your sales history and quickly determine the firmographics and demographics to let you know where you can focus your efforts.

AI for Better Personalization

Personalization is no longer just a trendy buzzword as personalized messaging, as it is quickly becoming a norm. Most online consumers expect brands to personalize their messages, whether personalized based on matching their location, demographics, or certain interest. Many consumers won’t even give attention to messages that are not personalized. By analyzing consumer data and behaviour, AI algorithms can actively personalize CX’s customer experience to ensure consistent engagement and interest.

Recommendation engines are one of the most prominent examples of AI technology by virtue of which you can easily adapt a more fruitful marketing strategy by knowing your customers’ buying habits and interests. You can most commonly witness this technology used on eCommerce platforms and OTPs. Consider an example of Netflix. Their goal is to keep you interested in their subscription service. Before and after you finish your favourite season or movie, Netflix pushes recommendations and Top Picks for you to keep you engaged and refrain from cancelling.

The average user doesn’t know about Netflix using AI to learn their watch history – they’ll just be excited to start watching Dark as soon as they finish Stranger Things.

Amazon uses AI greatly by providing personalized recommendations based on buying history, items you have viewed or liked and items in your cart, etc. These recommendations are more useful once a user is already in the final stage of the purchasing funnel.

AI chatbots and Digital Marketing

Different AI methodologies such as semantic recognition and natural language processing are intended to improve customer experience and deliver a better response. Compared with manual customer service, AI chatbots have many perks.

First of all, AI chatbots allow businesses to go one step further than the conventional “one-to-one” form of customer service. Instead, chatbots can promise “one-to-many” support by interacting with several customers simultaneously and in different time zones.

Secondly, AI chatbots don’t need to rest as humans do to answer customer queries 24/7 and in real-time with the same accuracy and speed. Not only does this mean they are highly efficient, but they can also deliver services outside of office hours.

Last but not the least, customers can opt for the language used by AI customer service as per their needs and feasibility, allowing a brand to deliver a personalized customer experience.

Many brands have begun to interact with their customers using messenger applications like WhatsApp, Facebook Messenger, and Slack, all of which can benefit from AI chatbots in order to automate the process and improve customer experience without involving human effort.

Conclusion

AI is now more accessible for businesses, making it useful for digital marketers. It is noteworthy that AI notably impacts your customers’ choices, helping to provide relevant suggestions and timely customer service and response. Discovering the ways that you can use AI will better enable you to boost your brand reach and meet your customers’ expectations.

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