artificial-intelligence-marketing-skills

“Marketing is a contest for people’s attention.” – Seth Godin.

Artificial Intelligence (AI) and AI Marketing Tools are buzzwords in today’s market. With technology evolving at such a rapid pace and bringing new developments to the AI field, it has become imperative for marketers to stay updated on what’s happening in the industry.

Because marketing has always been a game that keeps evolving, marketers’ lives have become even more challenging since the incorporation of AI in the marketing field. This has been a significant reason marketers must teach new skills to stay on top of the game.

What are those skills? This is what we are going to discuss in this post. So, let us take a look at those skills one by one:

1. Communication AI Tools

artificial-intelligence-marketing-skills

“All the technology in the world probably won’t help you as a marketer if you don’t have the soft skills such as empathy, communication, accountability, and the creative mindset.” – Raviv Turner, CaliberMind.

Marketing is all about customers. And the quote above paints a clear picture of the importance of communication in marketing.

While AI marketing tools could be your best friend in gathering customer data, segregating it according to your requirements, and providing you with vast information, they cannot connect with the customer. The massive volume of data will only be helpful if you have the communication skills to communicate with the audience.

As they say, great brands are built on connection with the customer and not just on efficacy.

  1. Chatbot Platforms (e.g., ManyChat, Drift): AI chatbots have revolutionized customer interaction in digital marketing. These platforms allow you to create bots that engage with customers in real-time on your website or social media channels. They can answer queries, provide personalized recommendations, and handle basic customer service tasks. This direct line of communication helps build a stronger connection with customers by offering them instant assistance and tailored interactions.
  2. AI-Powered Email Personalization Tools (e.g., Persado, Phrasee): These tools use AI to craft personalized email content that resonates with each recipient. They analyze data points like past purchase behavior, browsing history, and engagement rates to create emails more likely to generate a response. Delivering highly personalized and relevant content, these tools help establish a more meaningful connection with the audience, improving open rates and enhancing customer loyalty.
  3. Voice and Sentiment Analysis Tools (e.g., Chorus.ai, Gong.io): These tools use AI to analyze voice interactions with customers, whether in sales calls or customer support. They can pick up on tone, pace, and sentiment nuances, providing valuable insights into customer emotions and reactions. This information is crucial for understanding customer needs and tailoring communication strategies accordingly. By analyzing these interactions, marketers can identify areas of improvement in their communication and ensure that they are truly connecting with their audience on an emotional level.

Incorporating these AI marketing tools into your communication strategy can significantly enhance your ability to connect with customers on a deeper level, complementing the essential soft skills mentioned by Raviv Turner. These tools streamline communication processes and provide insights that can be used to refine and personalize interactions, making each customer feel valued and understood.

2. Qualitative AI Marketing Tools

Optimizing The Customer Service Experience

The most essential skill for a marketer to teach in today’s AI-dominated time is thinking like a customer. Marketers must think through what it is like for the customer to go from prospect to interested buyer, to customer, to repeat customer.

AI can be a great friend in this, but only if you know how to use it. You can use bots and AI technology to collect data about your customers, such as their points of interaction with the business, pain points while being with you, interaction and communication with your sales reps, and more.

But how you are going to use that data is the crucial part. This is why you need to develop an aptitude for qualitative research. Put – spend time speaking with and studying the needs of your customers. Look for chances to walk in your customers’ and prospects’ shoes.

To enhance the qualitative research aspect of marketing, several AI marketing tools can provide deep insights into customer behavior and preferences. Here are three AI tools specifically designed for qualitative research that can be invaluable to marketers:

  1. Natural Language Processing (NLP) Analysis Tools (e.g., MonkeyLearn, OpenAI’s GPT-3): These tools are designed to analyze and interpret human language in a way that helps marketers understand customer sentiments, preferences, and pain points. By processing customer reviews, social media conversations, and support tickets, NLP tools can comprehensively view customer attitudes and experiences. This insight is crucial for understanding the customer’s emotional journey from prospect to loyal advocate.
  2. AI-Driven Customer Journey Analytics Platforms (e.g., Adobe Analytics, Google Analytics 360): These platforms use AI to track and analyze the customer journey across various touchpoints. They help marketers understand how customers interact with the brand, what drives them toward a purchase, and what might be causing friction. By mapping the customer journey in detail, these tools enable marketers to empathize with customers, identify areas for improvement, and create a more seamless and satisfying customer experience.
  3. AI-Powered Qualitative Data Analysis Software (e.g., MAXQDA, NVivo): This category of tools is designed to assist in analyzing qualitative data, such as interview transcripts, open-ended survey responses, and focus group discussions. They can help marketers identify data themes, patterns, and trends, making it easier to derive actionable insights from large volumes of qualitative information. This can significantly enhance the marketer’s ability to understand the customer’s perspective and tailor strategies accordingly.

Integrating these AI tools into your qualitative research process can significantly deepen your understanding of your customers. They streamline the data analysis process and provide nuanced insights that might be missed in traditional research methods. By leveraging these tools, marketers can ensure they are truly walking in their customers’ shoes and developing strategies that resonate personally.

3. Speed and Accuracy AI Tools

CRO Conversion Rate Optimization Guide

Marketing today is all about speed. As technology keeps evolving at breakneck speed, a marketer who wants to impact the industry must keep up to date with these changing trends.

As a marketer, you need to be more than just reasonable with marketing; you also need to have a basic understanding of the various fields related to it. Skills like understanding analytics, mathematical terms, and a few basics of coding become imperative.

In the words of Mike Moran, Senior Strategist to AI marketing tools tech startups, “If you are going into the marketing profession as a refuge from math, that’s likely a mistake. You at least need to be comfortable making decisions based on data, even if you’re not the one collecting or calculating the numbers yourself.”

Leveraging AI tools that enhance speed and accuracy is essential to keep pace with the rapidly evolving marketing field. Here are three AI tools that can help marketers stay ahead by providing quick and precise insights:

  1. Real-time Analytics and Reporting Tools (e.g., Google Analytics 4, Mixpanel): These platforms provide marketers with real-time data and insights about user interactions on websites and apps. With advanced AI algorithms, they offer immediate analysis of customer behavior, traffic patterns, and conversion trends. This data processing speed allows marketers to make swift, informed decisions, adapting their strategies to changing customer behaviors and market trends.
  2. AI-Powered Predictive Analysis Tools (e.g., IBM Watson Studio, SAS Advanced Analytics): These tools use AI and machine learning to analyze historical data and predict future trends. They can accurately forecast customer behaviors, market movements, and campaign outcomes. By providing foresight into potential opportunities and risks, these tools enable marketers to plan and execute strategies more effectively, staying ahead of the curve.
  3. Automated AI Content Creation Tools (e.g., Jasper, Writesonic): These tools use AI to generate high-quality content quickly. They can produce diverse contentcific audiences and goals, from ad copy to blog posts tailored to spe. This speeds up the content creation process and ensures consistency and accuracy in messaging, allowing marketers to focus on strategy and creativity rather than getting bogged down in content production.

By incorporating these AI tools into their toolkit, marketers can significantly enhance their ability to process data rapidly and make accurate, data-driven decisions. These technologies save time and improve the precision of marketing strategies, enabling marketers to stay agile and effective in a fast-paced industry.

4. AI Content Creation Tools

Content marketing results

This is where many people would disagree, stating that AI can curate content, gather the best blog posts, and do much more. Yes, you are correct in saying all this. But it would be best to remember that bots and AI cannot create content. Tech tools cannot write blog posts.

As a marketer, you are the best judge of what you want to represent to your audience. Hence, you need to develop the skill of writing content.

According to Wes Marsh, “’ Content is king’ is a motto that’s been around for decades, but it won’t go away soon. Creating relevant content for unique audiences will be just as important in the 2020s as in the early years of the millennium.”

While it’s true that the human touch in content creation is irreplaceable, AI tools can significantly assist in this process, enhancing both efficiency and creativity. Here are three AI-driven content creation tools that can support marketers in producing engaging and relevant content:

  1. AI Writing Assistants (e.g., Jasper, Grammarly): These tools use AI to help write and edit content. Jasper can generate creative and original drafts based on input keywords and topics, significantly speeding up the content creation. Conversely, Grammarly offers advanced grammar, punctuation, and style corrections, ensuring that the content is polished and professional. These tools can aid in brainstorming ideas, structuring content, and refining the final output, allowing marketers to focus more on strategy and less on the nuances of writing.
  2. AI-Driven SEO Content Optimization Tools (e.g., Surfer SEO, Clearscope): These platforms leverage AI to analyze top-performing content in search engine results and provide recommendations for optimizing your content. They suggest relevant keywords, content length, structure, and other elements that can improve SEO rankings. By aligning content with search engine algorithms, these tools ensure that it resonates with the audience and performs well in visibility and reach.
  3. Automated Graphic Design and Video Creation Tools (e.g., Canva, Lumen5): Tools like Canva and Lumen5 are invaluable for visually appealing content. Canva uses AI to suggest design layouts, color schemes, and typography that align with your brand, simplifying the design process. Lumen5, an AI video creation tool, helps convert text content into engaging video formats, which is crucial for social media and digital marketing. These tools allow marketers to create high-quality visual content quickly and easily without extensive design skills.

Integrating these AI tools into your content creation process can significantly enhance your ability to produce high-quality, engaging, and SEO-friendly content. They serve as powerful assistants, enabling marketers to focus on creative and strategic aspects of content marketing while handling the technical and analytical parts efficiently.

5. Planning And Data AI Tools

Content strategy

AI is all about information gathering and bringing together volumes of data. How do you think this big picture will fit within your organizational goals? How will you put all the pieces brought forward by AI to create the final growth map that will lead you to success?

This is a skill that every marketer needs to develop.

Being a marketer who can understand how various facets of AI and technology can be brought together and orchestrated to create a successful business strategy can be the biggest asset to an organization.

As it is said – it’s not just about crunching numbers. It is more about identifying the trends, figuring out relationships, and leveraging those numbers to improve marketing results.

Planning and forecasting are essential for a successful growth strategy in marketing. AI tools can significantly aid this process by providing sophisticated analysis and predictive insights. Here are three AI tools tailored for planning and forecasting that marketers should consider integrating into their strategies:

  1. AI-Powered Market Forecasting Tools (e.g., Crayon, MarketMuse): These tools use AI to analyze market trends, competitor strategies, and industry shifts. Crayon specializes in tracking competitor activity across various digital channels, providing insights to inform strategic decisions. MarketMuse, on the other hand, uses AI to identify content opportunities and gaps based on market trends and search engine data. By understanding the evolving market landscape, marketers can plan more effective strategies and stay ahead of competitors.
  2. Predictive Analytics Software (e.g., Alteryx, RapidMiner): These platforms use advanced machine learning algorithms to analyze historical data and predict future trends and behaviors. They can forecast customer behavior, sales trends, and even campaign performance. This predictive power allows marketers to make data-driven decisions, allocate resources more effectively, and anticipate market changes, making their strategies more resilient and adaptable.
  3. Customer Data Platforms with AI Capabilities (e.g., Segment, Adobe Experience Platform): These platforms consolidate customer data from multiple sources and use AI to derive insights and patterns. They can help marketers understand customer preferences, buying behavior, and journey patterns. With this detailed customer intelligence, marketers can tailor their strategies to align with customer needs and predict future trends in customer behavior, optimizing the customer experience and increasing engagement and loyalty.

By leveraging these AI tools, marketers can gather and analyze vast amounts of data and translate these insights into actionable strategies. This approach allows for more precise planning and forecasting, enabling marketers to create targeted, effective campaigns and strategies that drive growth and success.

Conclusion

Marketing has always been a critical parameter in a business’s success. Whether you look at the past or the present or even talk about the future, companies that have made it big had marketing play a huge role in their success.

Evolving technological changes have brought into inception new techniques and skills to which marketers have had to adapt. And the latest addition to this has been the rise of AI.

As you can see, to make the most of AI as a marketer, you must teach a few basic skills mentioned above.

So, are you ready to acclimatize according to these changing trends? If yes, then go ahead – understand these basic things, and see how you can become better at the game of marketing.