Why is AI in Marketing So Important? Find out here!

January 31, 2023

AI is a technology that uses machine learning to help business people improve their strategies. This technology allows marketers to automate processes like data analysis, segmentation, targeting, and personalization.

It also helps its users to understand customer behavior and preferences better. As a result, AI in marketing can be used to increase efficiency, create more personalized customer experiences, and generate more leads.

What is AI in Marketing?

AI in marketing uses machine learning to improve strategies and processes. This technology allows automated data analysis, segmentation, targeting, and personalization.

These methods are mostly used to help sellers better understand customer behavior and preferences.

Benefits of AI in Marketing

There are many benefits to using artificial intelligence in marketing. AI can help marketers automate mundane, repetitive tasks like data analysis, segmentation, and targeting. This can aid sellers in focusing their efforts on more creative and strategic tasks.

AI can also assist in creating more personalized customer experiences. By using AI to customize their campaigns and messages, vendors can better meet the needs of their customers. This can help increase customer engagement and loyalty.

Most Common Examples of AI Marketing

AIs are becoming increasingly popular, and there are various examples of how it is being used. Here are some of the most common examples of it:


AI chatbots are a popular example of AI for vendor use. Chatbots can provide customer service and answer customer questions quickly and efficiently. Also, their impact on customer experience can be extremely high since they can take care of tasks that free up space for workers for other activities.

Still, certain tasks are always better to leave in control of the human eye since chatbots should never have the final say regarding a customer complaint. However, they could serve as easy leads or customers to speak with a human employee if needed.


AI can be used to create personalized email campaigns tailored to each customer’s needs. It can also be used to analyze customer data and create campaigns that are more likely to be successful.

Since most email marketing is related to tweaking headings, scheduling and copying to impact all emails to get open, AI can easily do this task. Small differences and certain tips are the ones that can make a difference when opening a mail instead of ignoring it like the many spam ones sent every day.

Artificial intelligence features can automate the creation of email lines and optimize the timing of mailshots; others can personalize great newsletters.


Artificial Intelligence can be used to optimize ad campaigns for maximum efficiency. AI can analyze customer data and behaviors to determine which campaigns are most effective and should be improved.

For example, it’s known that Google and Facebook are two of the biggest advertising platforms for companies. Both have tools that work and can be combined with many audiences, segmented by predictive analysis. This splits people into groups according to their characteristics.

Artificial intelligence can take advantage of these “group tags” and match them with the product that would match most with them, planning successful marketing strategies. This is way more effective and profitable than spending huge loads of money on TV, newspapers, and magazine advertisements.

Also, employing such methods through a learning machine will help to optimize it for future uses, measuring its effectiveness for future projects.

Most Common Statistics for AI Marketing

Artificial intelligence is becoming increasingly popular as more vendors realize its potential. According to a survey by Salesforce, 80% of its users are using AI in some capacity. Furthermore, the survey found that 68% of sellers plan to increase their AI investments in the next 12 months.

Another survey by Salesforce found that 83% of marketers believe AI can improve the customer experience. This indicates that more people recognize the potential of AI to create more personalized customer experiences.

Ultimately, a survey by Gartner found that AI will be responsible for creating $2.9 trillion in value by 2021. This shows that AI is becoming an integral part of the marketing landscape.

AI in Marketing Strategy

Businesses need to understand the customer when creating an AI in marketing strategy. AI can help sellers better know customer behavior and preferences. Then, marketers should use this data to create personalized customer experiences.

Identifying goals is also very important for any good vendor. Setting clear, measurable goals for their machine learning initiatives will help greatly track their progress and determine if their strategies are successful. Goals can also help avoid and automate mundane and repetitive tasks, freeing time.

After a goal is settled, creating a plan should be the next task. Knowing how to implement AI in marketing strategies should include goals, strategies, tactics, and timelines. Users can also use AI to personalize customer experiences such as campaigns and messages, meeting the customers’ needs.

Using AI to test and measure their strategies is almost mandatory for any marketer. This will help them determine which strategies are working and which need to be adjusted. Meanwhile, optimization is vital in any campaign to do effective strategies that can meet customers’ needs.

Employing the mentioned tricks can also generate leads and analyze data that identifies customers’ potential. Professionals like those working at Kala use these techniques daily. 

AI Platforms for Marketing

There are many AI platforms available for marketing. Some of the most popular include Salesforce, Oracle, Adobe, and IBM. Each of these platforms has its features and capabilities.


This cloud-based customer relationship management (CRM) platform can be used for AI in marketing. It has features for segmentation, targeting, and personalization.


The artificial intelligence platform known as Oracle can be used for marketing automation. It has features for customer segmentation, campaign optimization, and analytics.


Adobe is an AI platform that can be used for marketing automation. It shares many similarities to Oracle, offering segmentation, targeting, and personalization.


IBM is a known software that can be used for marketing automation. Like Oracle and Adobe, users can use its segmentation, targeting, and analytics tools.

How Can Multilingual SEO Help Marketing

Meanwhile, SEO can help businesses to find new audiences online through search engines like Google; these methods must take a step further. Leveraging SEO localization and ensuring that the target audience can discover the product in their language is vital for any marketing strategy.

Employing Multilingual SEO can help with these needs. It incorporates localized keywords and search terms from translated content to ensure any user online can find the product only in their native language.

Based on the customers’ language, the content will be easier to find and simpler for the audience to know what the company is about. It also gives clear information about what the company can offer, and stands it out among the competition, providing trust among clients.

AI in Marketing Services

Companies like Kala Agency can provide services that can greatly help optimize the use of artificial intelligence related to marketing. Using methods like search engine optimization, lead generation, and multilingual SEO can boost the potential of both practices.

All of these tips will help businesses optimize companies to position themselves at the top of the searches and increase revenue and audiences.


Artificial intelligence is a powerful technology that can help users automate processes, create more personalized customer experiences, and generate more leads. Using it has many benefits, including increased efficiency, better customer understanding, and more targeted campaigns.

These methods have also become increasingly popular, with 80% of its vendors using them in some capacity. However, to get the most out of machine learning software, marketers should create a plan, identify goals, test, measure, and optimize their strategies.

Merging the services of this intelligent software with techniques such as the ones provided by Kala Agency for SEO and lead generation will increase a brand’s visibility even more. This will bring more revenue, clicks, and audiences.

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