Artificial Intelligence Marketing is the application of customer data, machine learning, and other computational concepts to predict a person’s action or inaction. Artificial Intelligence Marketing can get large amounts of data and help marketers to separate them easily. Therefore, marketers can break down the data further to create customized content for their audience. With AI, businesses can develop better marketing analytics techniques to target the right customers. This will enable digital marketers to feed consumers with the appropriate content on the right platform at the right time.

Why is Artificial Intelligence Marketing Critical?

Artificial Intelligence’s impact on digital marketing is enormous. According to a survey conducted by Smart Insights (an online training and learning platform that helps marketers plan, manage and optimize their marketing), out of 100 senior marketers from various industries, 55 percent of them are already considering using AI in their marketing practices. Let us delve into the reasons behind this.

Artificial Intelligence Marketing (AIM) helps marketers to crush large amounts of marketing data analytics from social media, emails, and the web in a relatively quickly. The insights they gain in the short term can help marketers increase campaign effectiveness and generate faster returns on investment (ROI). This allows marketers and businesses to pay attention to other equally crucial tasks. A research report from salesforce on customer expectations states that 76 percent of customers expect companies to understand their needs and expectations. The report also says that 70 percent of customers want the companies to know how they use products and services to win their business. Also, 84 percent of customers say being treated like a person, not a number, is very important to winning their business. AIM helps content marketers understand their target audience is, thus creating a unique experience for customers/users.

AI for marketing

Few ways in which artificial intelligence can be used for your advertising/marketing campaigns are listed below:

Sales forecast

AI Marketing can be used to collect data about previous deals. It reads data from emails, meetings, and in some cases, phone calls. AIM can associate data with the potential sales effects of your current and future campaigns.

Customer Understanding

With the data collected through AIM Solutions, it will be easier for marketers to understand their customer needs and how and when they need it. Marketers create customer profiles that make it easy to differentiate those interested in their product from those who have not yet considered or purchased them.

Understanding the trend

AIM and its capability to analyze large volumes of data can be used to identify upcoming trends by “joining” your users’ real-time conversations or events.

There are several ways to use AI for marketing campaigns. Let us look at few examples:

Programmatic advertising targeting

Programmatic advertising is a technique to automatically buy and promote digital campaigns rather than buying directly from publishers. It is constructed to transform human speech through machine learning and AI-optimization. The objective is to increase efficiency and transparency for both the advertiser and the publisher. Programmatic advertising is done through real-time auctions where ads are procured as the visitor loads a website. An excellent example of programmatic advertising is Facebook’s ads. It admits marketers and advertisers to use data analytics in digital marketing, create custom profiles, and restart their ads.


Messaging apps like Facebook Messenger, Viper, and WhatsApp have made it easy for a customer to access companies and inquire, buy or report, and tell them what’s on their minds. It’s free and easy to use for a lot of people. The sad truth about using messaging apps for businesses, especially large corporations, is that it’s challenging to reply whenever a customer sends a message.

Speech recognition

Speech recognition is a technology that recognizes spoken words and can then be converted into text. A subdivision of speech recognition is voice recognition, which is the approach of analyzing the voice based on a person’s voice.
Five of the world’s top technology companies – Facebook, Amazon, Microsoft, Google, and Apple – are already offering this feature on various devices through services such as Google Home, Amazon Echo, and Siri.

Content creation

Content intelligence is a technique that uses artificial intelligence systems and software to process content data into reliable insights into the performance of a business’s content. It helps to make customer-centric content decisions that have an impact that drives business growth.

Dynamic pricing

AI is frequently referred to as customized pricing. A strategy in which the price of an item is determined by demand and supply.

Your predictive analytics like cookies, history, searches, and other functions are used by an app or website bot to determine real-time pricing. This way, you will get lower discounts and higher prices for the product/service you need.

A consumer can benefit from changing prices when demand for a product decreases. Dynamic pricing can provide competitive pricing to attract customers to help reduce the chances of vacancy.

The Conclusion

AI marketing combines intelligent technology and human creativity, and this enabling consumers to learn, understand and engage with hyper-personalized, relevant, and timely communications at the individual level, and they are compelled to stay engaged.

AI Marketing is a potent tool that marketers should use right now. This is something marketers need to follow in their marketing analysis techniques to achieve better results and increase the ROI of the business.

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