Transform Your Business with 9 Game-Changing Applications of Artificial Intelligence in Digital Marketing


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We’ve written articles on this subject in the past. We’ve listed the 10 Artificial Intelligence (AI) technologies we think will rule. But now, let us ask: how artificial intelligence (AI), will impact digital marketing?

A few years ago, many marketers were reluctant to use artificial intelligence in their marketing strategies. But this year they are confident about using AI due to its reduced ambiguity. AI is evolving. They can now surpass humans in certain areas.

A survey conducted by MeMSQL of 1,600 marketers found that 61% of them (without considering the size of their company) believe artificial intelligence and machine learning will be two of the most important initiatives for data in the next year.

Salesforce’s survey revealed that 51% of marketers are already using AI, and 27% plan to do so by 2019. This is the technology most likely to be adopted in 2019 by marketers. The Internet of Things (IoT), marketing automation, and AI are all included.

As the data about potential customers increases, AI-related computer science (such as Deep Learning, Machine Learning, and Natural Language Processing, or NPL) will become more important when deciding on data.

There are several AI-based applications you may not have even considered.

1. Create and Generate Content

What? What? No way! You’re wrong!

AI can, for instance, write reports and news based on data and information.

You may have read AI-generated content from the BBC, CBS, and Reuters.

The Washington Post has already referred to Heliograf as the artificial intelligence software used by hundreds of articles.

2. Curation of Content

AI can curate and generate relevant content for certain websites.

This is a technology that allows users to receive personalized content, such as the “people who purchased X also bought Y” we often see on Amazon.

The recommendation system is also very accurate.

How can this benefit you?

Showing your visitors relevant content based on what they’ve already seen on your site would make them spend more time on it.

3. Email Marketing

Brands are using AI to customize their email campaigns based on user behavior and preferences. You can connect with customers better and convert them to paying clients.

Automated learning or machine learning can help you to track your digital marketing campaigns.

AI can be your friend in personalizing email messages for subscribers.

Boomtrain Phrasee, Persado and Persado are some of AI’s tools for email marketing. Phrasee says that its subject line creation is 95% more accurate than that of a human. Persado states that it performs cognitive tasks 100% better than humans.

4. Digital Advertising

The most popular area in digital advertising that has adopted artificial intelligence is.

For example, Facebook Ads and Google Ads already utilize artificial intelligence to find people more likely to perform the action they desire. To achieve this goal, advertisers use information about users such as demographics and interests to target the most appropriate audience.

Google AdWords uses an automatic auction system that allows advertisers the opportunity to pay for conversions at the lowest possible cost.

Big data analysis is not limited to AI.


Adept tests up to 480 audience combinations for every ad to find the best one.

Every hour, the software’s intelligent algorithms adjust and optimize budgets to help advertisers achieve a high conversion rate that is guaranteed under contract.

Adext AI is easily connected to AdWords and Facebook Ads accounts in only 5 minutes.

5. Searches

Online search has evolved. We need to consider how it will affect the way that marketers optimize and create web content.

Google’s RankBrain and voice search have transformed Internet search and SEO.

Amazon Echo and Google Home, as well as Apple’s Siri, make it easy for users to perform searches by using voice commands or pressing buttons.

Google revealed in its blog that 70 percent of Google Assistant searches are conducted in natural, conversational language. These search terms would not be found in traditional Google searches.

Google created RankBrain, a machine-learning algorithm to deliver more relevant search results. This AI interprets the user’s voice and delivers the most relevant result based on context and the language they use.

6. Web Design

Now you can create an amazing website without needing a programmer or designer.

Grid is one application that uses artificial intelligence to design a website based on information from users. This includes images, text, and calls to action. ). These applications can help you create a website that looks professional, cost-effective, and in less time.

7. User Experience (UX).

AI allows the display of content and offers that are better suited to the type of users.

According to a 2017 Evergage survey on real-time personalized experiences, 33% of marketers use AI for creating customized web experiences. 63% of respondents who were asked about the benefits of AI-driven personalization said it increased consumer conversion rates and improved customer experience.

A good user experience will encourage users to stay on your website. The longer the visitor stays, the higher the conversion rate.

AI tools such as chatbots can improve the experience of users. This is what we will be discussing now.

8. Chatbots

Brands communicate with customers via messaging apps such as WhatsApp and Facebook Messenger. Consumers already use these messengers to talk with friends and colleagues.

By allowing users to search, chatbots help potential customers find products and services that they’re looking for.

Chatbots that can answer questions are powered by AI. They use natural learning, and machine learning to determine the correct answer.

You won’t be waiting long for a chatbot to answer your request.

Sephora uses chatbots to provide beauty advice, as well as the right cosmetics for each individual.

Would you like your bot to perform better than a salesperson?

Bots can be trained using examples of conversations—bots for Facebook, such as The Wit.ai bot.

9. Predictive Analysis

Predictive analysis is the use of machine learning and data. The use of algorithms is used to predict the probability of future outcomes based on data from the past.

The marketing industry is no exception. Marketing is not an exception.

The predictive model you build will be only as accurate as your data. There will be errors or randomness in the data, which will prevent it from making accurate predictions.

Data will allow marketers to become proactive planners rather than reactive ones.

Digital marketing is a good example of how this discipline can be applied. The ranking of prospects or leads can be done by machine learning models that are taught how to rate prospects according to the criteria set forth by sales teams as “qualified buyers”. The sales team can focus their efforts on those leads that are likely to convert.

Do you have the right tools to use artificial intelligence in your marketing?

Better decisions lead to a greater Return on Investment (https://blog.adext.com/online-advertising-budget-roi/. Better decisions will lead to higher ROI.

Everybody will need to decide whether or not they wish to advance in an AI-driven age.

AI does not replace advertisers or marketers but unlocks their creative potential. To achieve this goal, they will have to embrace AI. If we do nothing, the inevitable will happen.

About the author

Kobe Digital is a unified team of performance marketing, design, and video production experts. Our mastery of these disciplines is what makes us effective. Our ability to integrate them seamlessly is what makes us unique.