AI in Marketing: Crucial Areas of Opportunities & Confinements


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The role of AI in marketing is increasing because it spurs fantastic opportunities in several areas. On the flip side, AI is limiting some marketing efforts. Here, marketers need to identify the best form of AI to implement in the future.

Marketing leaders need to reckon with the increasing impact of AI in marketing. While it is essential to understand and utilize the advantages that AI offers, it is equally important to understand the limiting implications that it may have on regular marketing strategies.

While enterprises look at AI’s advantages in marketing, they also need to focus on the limitations AI puts in marketing. While considering the rules, marketing leaders must have a plan B for mitigating those limitations.

A report, Artificial Marketing Market – Global Forecast to 2027 by Markets and Markets, suggests that the AI market is expected to rise at a CAGR of 36.2% from 2022 to 2027.

Here are the areas where AI can legally help marketing leaders to do wonders.

AI in Marketing: Areas of Opportunities

  1. Target Right Audience without Cookies

Many marketers face challenges managing, analyzing, and utilizing data for marketing purposes. Some find it hard to accumulate data aligned with the business, while some find data management tedious after collecting. As a result, marketers drown in data and cannot use it accurately as they should. Advanced AI solutions are sometimes needed to resolve these challenges.

Marketing leaders can leverage AI to understand consumers’ preferences. AI-based analytics tools drill down every aspect of consumer preference, helping marketers develop relevant marketing efforts. So, AI can support marketing analytics without third-party cookies to collate and segment data from customer interactions.

  1. Predict & Personalize Marketing

AI is taking brands further to provide messages to the right audience through the proper channels. The most exciting thing is that these activities are only possible when marketing leaders anticipate and predict whom to engage with and when to boost engagement. AI’s role is significant in making these activities successful at different levels of marketing.

Brands today need to keep a predictive approach to creating marketing strategies. With AI tools, they can predict how their target audience will engage, what solution they are looking for, and the data for their engagement digitally. These predictive actions will help brands read customers and scale personalized marketing efforts. AI reads different behaviors and actions and delivers insights, which can be used to create exciting and catchy marketing assets. That is how AI tools can bolster a predictive marketing approach

  1. Establish Relationships with Customers On their Terms

Segmentation of data with AI is a good start. But as mentioned above, communicating with the right messages and delivering messages through the right channel at the right time is essential. There are several mediums through which marketers can perform all these activities. Here, AI in marketing helps marketers to determine data quantity & quality, choose the most effective channels to communicate, boost engagement with the right customer, and maintain consistency of communication. This consistency of communication among customers results in establishing good relationships.

By analyzing the messaging analytics, marketers can get insight into the target audience’s preferences that drive them to interact with a brand. Optimizing the time of content delivery to reach the customer is necessary. And AI works best in this aspect. Here’s how AI can help more brands reach customers where they are:

  • Verify to whom, when, and through what channels brands need to send messages
  • Use AI to gather information about customer preferences allied to frequency, channels, and time of messages delivery
  • Run multiple-choice tests to measure the effectiveness of AI-optimized campaigns compared to previous results

AI in Marketing: Areas of Confinements

Looking at the limitations of AI is also essential to learn.

  1. Uniqueness

While AI content is accurate, human-based content creation is compromised. When AI is used in marketing, it uses facts and data to create content and data. This may work to some extent, but the AI context lacks emotions when brands want to boost customer engagement. This is when human interaction becomes necessary to add to fill engagement gaps. The infusion of voice with AI into content is a good idea.

  1. Requires Supervision

To run marketing campaigns, marketers must plan, design and efficiently run the campaign. One of the most common AI machine challenges is that they cannot work alone. It requires supervision of feeds into the system that holds all necessary information. This form of supervised learning is different from the way humans learn naturally. This is one of the biggest obstacles to creating more human-like AI machines.

  1. Strategy

Building marketing strategies isn’t just about looking at the data; it takes various factors into account. The factors supporting the process require human intervention, reducing the independent efficacy of AI. Also, sometimes, marketing teams have to make choices among data depending on relevance, availability, value, and other parameters that businesses require.

Due to such inefficiencies, sometimes AI proves ineffectual in marketing. As a result, marketers that use its help run the risk of planning an inefficient marketing strategy, often making wrong moves. For this, marketers need to always check the algorithms in AI systems and how errors can be remedied in minimum time so that brands do not lose customers.

Also Read: Must-Have Tools and Features in a Customer Relationship Management (CRM) System

AI and marketing – A Promising Link to Stay for Years to Come

Notwithstanding these drawbacks, the nature of marketing materials using AI is about delivering new solutions for customers, increasing possibilities of establishing relationships, and boosting personalized CX. Due to these factors, marketing experts are convinced that AI will stay beyond 2023.

To remain one step ahead of the competition, marketers should necessitate AI to better segment customers, achieve a higher level of consumer engagement, and use dynamic content strategies. All these elements and others will soon become an essential part of the toolkit used by each marketer.

Anushree Bhattacharya
Anushree Bhattacharya
Anushree Bhattacharya is a Senior Editor with Ondot Media, where she covers stories on B2B business technology strategies and corporate technology culture. She is a quality-oriented professional writer with eight years of experience. She has been curating content for the B2B industry, and her writing style is inclined toward how businesses want to perceive information about emerging digital transformations and technology developments in the markketing landscape. Anushree blends the best information on trending marketing technology-driven stories and is proficient in curating information-driven stories about all marketing technology for TalkMarTech publication.


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