Top 8 Skills To Effectively Utilize AI Tools in Marketing

Has ChatGPT also infiltrated your conversations? Even with folks you assumed had no interest in AI or anything else IT-related? We have to admit, if you haven't heard about ChatGPT yet, you can be living under a rock.

Since artificial intelligence is becoming more and more relevant in our everyday lives at an accelerating rate, our previous blog post began with an overview of AI's fundamentals in marketing. We examined the reasons for AI's rise to prominence in marketing, its long-term viability, and the insights that customer surveys provide into consumers' preferences and usage patterns of AI in targeted advertising.

This module goes a little beyond, providing a list of AI marketing tools that any business owner can use to take advantage of AI as well as data and abilities analyzed by leading consulting organizations for handling AI difficulties in marketing.

8 Best Skills That Every Digital Marketing Experts Should Develop

I) Skills to Operate ChatGPT, Bard, and other AI platforms

Even though AI has been in the fame for quite a while, ChatGPT emerged as a true game-changer. This generative language model is mainly used for automation, gaining insights, and conversations. You can also use these chatbots for debugging shortcodes, and keyword analysis.

Marketers must remember that, ChatGPT is the basis of many current and future AI technologies. We can take DALL-E 3 as a fine example of this statement. It has evolved since its release as it no longer uses prompt engineering to operate. This aspect alone has been confusing for many marketers.

Using chatbots is a great way to start using AI tools for marketing and comprehending their functionalities.

II) Generation & Creation of Content

Designers and content marketers would be concerned about AI. After all, given simple language instructions, AI can produce textual and graphic content quickly and easily. 

But content creation is more than just gathering and arranging preexisting information. Everything boils down to imagination. When it comes to content creation, the human viewpoint has to be incorporated. In this process, creativity and teamwork are crucial components. 

Artificial intelligence can be a huge asset when it comes to content creation. It can help with locating pertinent keywords, inspire creativity, and improve the material's overall quality. Additionally, it can assist in producing material for boring and repetitive jobs, freeing up time for more creative and fun pursuits.

According to expert projections, generative AI technology will be able to accomplish a number of activities linked to content by 2024.

• Sales writing
• Article/Blog writing
• Image creation
• Email marketing
• Content ideation
• Video production
• SMM or Social media marketing

AI has to be included in your content development process and plan, for whatever purpose you need it to. To draw in highly intelligent clients, you must figure out how to maximize it and feed data into it.

You will benefit from AI more the better you understand it. Maintaining your competitiveness when it comes to that promotion or job chance is another benefit of having a solid grasp.

III) AI in Data Analysis

Making more use of their data is the goal for most firms. Pecan AI discovered that 84% of marketing executives felt their ability to forecast customer behavior seemed like guessing and that almost four out of five found it challenging to make data-driven judgments. 

Knowing your data lets you make informed decisions about designing a user interface or campaign that will effectively engage your target audience and teach you more about them. You need to do data analysis at scale and as quickly as you can to gain relevant data about what customers think about your company.

And guess what? There is no one better than this job than AI as it can mix all data available for gaining important knowledge and a deeper understanding of your customer. You can also decode conflicts, debates, and opinions of your customers by analyzing their texts. 

That being said, you need to learn data analyzing skills before you can use AI efficiently, especially for completing any tasks related to data. That includes being proficient in collecting, visualization data, data-driven decision-making, data security, privacy, management, and cleaning.

Learning these skills will be very supportive in your endeavor to implement AI for data analysis and can practically make you a data analysis specialist.

IV) Automated Marketing

Marketing automation is the practice of using AI in digital marketing and automation technologies to determine the best platforms, channels, and times to reach a certain audience. This allows you to reach out to your target demographic rapidly and at scale. 

Marketing automation can be used for a range of operations, including:

• Creating Engaging Content: You don’t have to spend hours and hours to come up with a content idea anymore. AI can help you with that as well as provide you with highly engaging marketing materials in a jiffy. Moreover, you add elements like writing style, tone, as well as topic matter.
• Lead Generation: You can identify and nurture consumers while also segmenting your traffic to improve customization.
• Email Marketing: Create triggered workflows and drip campaigns, segment people into lists, and use analytics to drive customization. 
• Performance Indicators: You can monitor the effectiveness of your campaigns by entering the most relevant and crucial parameters.
• Social Media: You can use chatbots to reply to messages, plan social media postings across several channels, and monitor social interactions. 

V) Being Proficient in AI Tools and Platforms

AI is not as complex as some people deem it to be, in fact, once you get a hold of its functionality, it’s quite simple. But for marketers, there is simply no choice but to be comprehensible with AI as most digital marketing practices now include some sort of AI tool implementation. Below are some of the day-to-day jobs that can be simplified and time-efficient with AI:

• Content research
• Customer journey mapping
• Audience analysis
• Keyword research
• Idea generation
• Competitor monitoring
• Forecasting and analysis of trend
• Writing and content generation 
• Social media management and advertising
• Sales automation

VI) Search Engine Optimization

VII) Soft Skills

We know that navigating the marketing industry may be challenging, particularly when determining which abilities are in demand. It is impossible to exaggerate the significance of soft skills in marketing for this reason. 

Even though technical skills are important, organizations are now giving soft skills more weight because they are behaviors and character traits learned through life events. These abilities have a big impact on your working style, both favorably and unfavorably. 

We are well aware that honing these abilities might be difficult, but the effort is worthwhile. In the new era of AI in marketing, employers emphasize soft skills like leadership, communication, and teamwork since they complement your technical and digital abilities. Spend some time honing your soft skills since they will help you grow in your job.

The following are some crucial soft skill areas that can aid in a person's development on both a personal and professional level:

• Strategic Thinking: It's crucial to have a long-term perspective on complicated business problems to establish effective plans that correspond with your company's aims and objectives.
• Creativity: Adopting an innovative mindset enables you to generate novel concepts and distinctive approaches to traditional marketing strategies.
• Agility: Making errors is a common part of any job but all it matters is what you take from them. Aim to make the most of the mistakes you are making, i.e. turn them into a lesson.
• Willingness to Learn: That takes us to our next point. You need to be open to learning something new as your professional progress and ongoing education go hand in hand.

Comprehending AI is without a doubt a challenging task hand, but not an impossible one. One simple approach to deal with it is by getting a hold of the key AI algorithms. This shields you from any potential risks along the route in addition to assisting you in identifying opportunities for innovation.