AI has penetrated the industry with its unmatchable capabilities in the marketing horizon. It offers viable opportunities for personalization, predictive analytics, and high efficiency. In today’s time, when every day new marketing channels are opening, such as digital marketing, influencer marketing, etc., AI in Marketing seems to be a reliable partner to cope with these challenges and achieve the desired results.

The exclusivity of the products has become a thing of the past. There is hardly any unique product in the market; a plethora of brands are always available with similar offerings. It’s no longer enough to offer a great product, excellent service, the most flexible policy, or the friendliest support. It is all about marketing. Because without marketing, only you and your closest friends will know how exceptional you are.

From data analytics to IoT, the marketing industry is leveraging all available digital solutions to make advertisements and campaigns better targeted and personalized. Naturally, they can’t forgo the potential of artificial intelligence and are finding ways to leverage AI in marketing for maximum profits.

There are a plethora of ways to use AI in marketing. Generative AI has gained such immense popularity that marketers leave no stone unturned to use its potential in crafting all sorts of content – text, graphics, videos, and animations.

In this article, we will explain all the use cases of artificial intelligence in marketing and how marketers can use it to expand their customer base, increase brand recognition, and boost growth.

Market Statistics of Artificial Intelligence in Marketing:

The market value of artificial intelligence (AI) in marketing worldwide from 2020 to 2028(in billion U.S. dollars)

Artificial Intelligence in Marketing

As per Gartner’s report, the adoption of AI in business has grown by 270% in the last four years. According to Fortune Business Insights 2020, the global AI market will reach a valuation of $267 billion by 2027. In 2019, the value of the AI market was $27.23 billion, i.e., there will be a 10 times increment in its valuation.

Multiple surveys have shown that 75% of marketers use GenAI in marketing campaigns. According to McKinsey, GenAI is can boost marketing productivity by 5% to 15% of total marketing spending.

Top Use Cases of AI in Marketing:

Leveraging AI in marketing will boost business growth, improve operational efficiencies, foster collaboration, high-conversion rate campaigns, and evaluate KPIs. AI is adequate for assessing marketing data because of its capacity to process large amounts of data quickly. AI technology can dramatically accelerate and simplify tasks when utilized in marketing initiatives. Here are the top use cases of AI in marketing:

1. Audience Targeting With AI:

It doesn’t matter how engaging or attractive your marketing campaign is; if it does not reach the right audience, then all your efforts will be in vain. Showing your toy ads on news channels while your target audience watches kid shows wouldn’t be an intelligent decision. Some of the common platforms that most people use, like Facebook, Instagram, LinkedIn, Reddit, etc., have tons of data that you can use for customer segmentation in a much better way. It is nearly impossible to do such customer segmentation manually.

AI checks the various parameters of your past audience, such as demographics, age, gender, etc., how your previous marketing campaigns performed for that particular set of audiences, and much more. It also aids in the performance and spending optimization of the commercials and their production. Adobe, IBM, Albert, GumGum, Pathmatics, Phrasee, WordStream, and other AI tools are widely used in advertising.

2. Generating Leads:

As per your old data, with the information of your regular patrons, clients, etc., the AI system would be able to generate a list of leads who have the potential to become your customers. It will also score the leads by using multiple conditions. The leads with higher scores are looking for something similar to your offering. Your salespeople would be ready to address them and provide them with the best service at the right time.

With AI in Marketing, it will take less time to generate leads than manually scourging them from different sources. The majority of lead generation strategies are time-consuming and ineffective. Building an AI system for lead generation allows you to focus on more critical duties that directly benefit the company’s bottom line.

3. Personalization:

Sharing the right content with your customers based on their requirements and needs will make you win deals. Customers want the moon, and you can at least provide them with a piece using AI. They expect the brand to understand their needs and showcase that in front of you. You can deliver a relevant and personalized buying experience to buyers using AI and ML. The offers you send customers shouldn’t be limited to a single channel but to all the channels on which customers are present, such as push notifications, emails, WhatsApp, Instagram, etc.

To provide such an experience, AI and ML can gather customer data within seconds and send contextual content and offers to convert the leads into sales. There are a lot of AI-based marketing tools available for personalization, such as Skyword, Scripted, Curata, etc. Acrolinx reads all of your material using natural language processing and makes suggestions for improvement. Atomic Reach advises the company to modify its content to enhance interaction. Boomtrain identifies your content that is most likely to be ‘engageable’ to the user.

4. Competitor Insights:

You can’t let go of the importance of knowing what your competitors are doing. Whatever your competitor does, it can be a lesson or a motivation to follow a similar path. Many bigger enterprises across the world have proven that they have made it by understanding their competitors’ strategies. Why else would corporate espionage be a thing? No, getting the insights of the competitors is not unethical. Here, we are referring to the tools and technologies your competitors use to understand the visitors on their sites, the content they create, the graphics they use, and much more.

5. PPC Advertising:

During the setup of a PPC campaign, you have options like manual bidding or automatic bidding, placement, etc. AI can perform the automatic bidding. Although PPC advertising requires AI, it equally needs the help of a human. AI systems have only been able to take over repetitious PPC administration jobs, but they are highly effective at improving campaigns. It assists you in optimizing your advertisements, displaying different adverts to people depending on their browsing history, adjusting your bidding value to help you achieve your goal, identifying the most relevant keywords for you, and so on.

Some of the popular AI Marketing tools for PPC advertising are Acquisio, Adzooma, and PPCHero.

6. Intelligent Advertising Design:

You can design highly personalized designs with the help of AI. It allows for automatic customization of multiple aspects of a marketing campaign and advertising materials for a target audience group or even particular individuals. The algorithms will identify which aspect of your marketing campaign will get the maximum hits from your different target audience groups, and accordingly, the algorithms will use design style and colour scheme.

The algorithms will then evaluate the performance of various marketing elements along with the different colour schemes and styles used to identify the room for improvement.

For example, it may be possible that your young target audience is more receptive to highly visual advertisements while your older target audience prefers more text or in-depth detailed descriptions of your offerings. Advertising creatives would only need to generate one version of their assets, which AI algorithms could then alter and automatically distribute to the appropriate target segments. Advertisers are currently using software like Persado, which employs natural language processing algorithms to generate individualized sales material.

Read More – Best AI Business Ideas to Give a Try in 2024

7. Search Engine Optimization:

You can achieve better page rankings on the Search Engine Result Pages (SERPs) using AI for SEO. Popular search engines such as Google, Bing, etc. use highly complicated algorithms and give weightage to factors like backlinks, keyword stuffing, poor content, speed, images, etc. It has become immensely difficult for digital marketers to decide the content manually, and thus, they are using AI to meet the high standards of search engines.

To give you an example of the power that AI has in increasing SEO performance, suppose you want to know when your firm is referenced someplace. You don’t have to check it manually. Tools such as BuzzSumo and HubSpot will immediately notify you.

8. Social Media Listening:

When customers talk about your business, they cover multiple aspects like customer service, delivery time, responsiveness, etc. You must give utmost consideration to their opinion and ponder how you can improve your service if it is lacking in any aspect as per their perception. AI will help you collect this data in real time and find hidden patterns based on those conversations.

One customer may be having a conversation about your brand on Facebook, while a similar keyword has been used by a different customer on Twitter. By now, the AI system has recognized that you may be interested in learning more. If you listen to what your clients and prospects have to say about you, you will be able to come up with great solutions and provide rapid answers to their concerns.

9. AI Email Marketing:

Do you know that the ROI of email marketing is $42 for each dollar spent? It means that the more your sent emails get opened by the users, the higher the chances of your conversions becoming your patrons. That’s why many businesses spend thousands of dollars to create attractive emails that compel users to open and react.

As you know, only the subject line is visible in the email inbox. Thus, the subject line is the main criterion whether to open the mail or not. The customers read the subject line within a few seconds and decide whether to open it or not. Subject lines are generally generated at the end of a campaign, so firms do not pay them the attention they deserve.

Using NLP, AI will find the subject lines that have higher chances of getting clicked and opened by the users while adhering to the brand language. Phrasee and Mizy are two reputed AI tools in this regard.

10.  Predictive Marketing:

Human beings don’t always make rational choices, but there are always certain behavioural biases that create patterns. It is almost impossible to find those patterns as tons of data are required. AI in Marketing can go through such an enormous amount of data and predict what, why, where, and how a customer will make a purchase.

It employs a lot of attributes to predict customer behaviour, such as text analysis, sentiment analysis, lead scoring, etc. If a business can use the proper channel to offer the correct goods to a client at the right price, the sale will go smoothly.

11.  AI Chatbots:

AI-powered chatbots have revolutionized the customer care industry, and one in four service organizations is leveraging chatbots. Initially, the chatbots were able to provide only a set of information to the customers, but with AI, they started learning on their own. Thus, with each human interaction, chatbots become more innovative, and the responses become more accurate. We are already surrounded by popular chatbots like Siri, Google Assistant, Cortana, etc.

As per the report of The 2022 State of Marketing, these are the significant functions that AI-powered chatbots can perform:

  • Resolving queries automatically in real-time
  • Use your website content to answer a broad range of questions
  • Eliminate lead generation forms
  • Schedule sales calls

12.  Customer Support:

Using ML and NLP, customer support becomes a cup of tea for every business. AI generates results with incredible speed and accuracy than humans due to its capacity to multitask and handle a large number of requests. AI may use massive amounts of data to enable the following customer support:

  • Use the information to understand the customer
  • Identification of issues that customers are facing
  • Behaviour patterns analysis
  • Identifying the decisions and preferences
  • Create suitable solutions and products

You can use AI-based tools for customer support like Solvvy, Monkeylearn, Freshdesk, etc.

Also Read – Top AI Development Companies To Hire

13.  Generating Content:

Creating content using AI is still in its nascent stage. There are many popular AI tools like GPT-3, GROVER, MarketMuse, etc., whose purpose is to create content using AI. However, these programs generally produce generic content pieces. The generated content will not arouse any emotions.

It is also true that the reader could easily decipher whether the content has been written by AI or a human being. Currently, AI is unable to replace human-written content, but it can help with blog posts or article direction, initial content research, a base template to write content, or even content marketing strategy.

14.  Intelligent Website Audits:

It is imperative to check the flow of your websites and social media accounts in order to find any obstacles that are prompting your visitors to back out from making a final purchase. AI can automatically audit your website and notify you if there are any roadblocks that disrupt conversions. Some common reasons affecting your conversion rate are slow-loading pages, inefficient pictures, misleading product descriptions, etc. Regular audits take a significant amount of time and money to complete, and a qualified outside consultant is frequently required. However, automated AI tools are making it easier to accomplish this, resulting in increased efficiency and sales.

15.  Market Analysis:

AI can help you find the market’s evolving habits and consumer behaviors. It will let you know the impact of how your potential customers interact with the vendors. Along with your own visual advertising, you may more easily assess the performance of your competitors’ efforts and learn how clients react to different moods, color schemes, and situations.

16.  Sales Forecasting:

As per Salesforce, teams that use AI properly will have better forecasting insights and accurate sales pipelines than those that don’t. If you are involved in a manufacturing or retail business, then precise forecasting of sales or demand plays an essential role. You can suffer huge losses if you produce more than what is required or less than what is necessary.

Human forecasting uses a set of formulas that have been developed over time, but it does not enter millions of data sets, and humans cannot incorporate a large number of factors into the equation. AI and machine learning are invaluable tools for firms looking to forecast revenue. It will forecast revenues by analyzing previous opportunities, sales, successes, misses, win %, etc.

Wrapping Up:

In this article, we have reviewed many cases of AI being used in marketing. Trust us, AI is like a boon for marketing activities, which will not just increase the conversion rate, retention rate, and other KPIs but will also build a strong reputation for your brand. At Octal IT Solutions, India’s Leading software development company, we create advanced AI-based software solutions for our clients. Let us know your requirements.

Managing Director

Arun Goyal is a tech enthusiast and experienced writer. He's known for his insightful blog posts, where he shares his expertise gained from years in the tech industry. Arun shares his knowledge and insights through engaging blog posts, making him a respected figure in the field.

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