Three new skills to make you a better AI marketer

AI is rapidly transforming the marketing landscape. As a digital marketer, it’s important to stay ahead of the curve and learn the skills you need to use AI to your advantage.

Here are three new skills that every AI marketer should learn:

Skill 1: Basic data analysis

• Difficulty: Easy
• Requirements: Basic understanding of statistics and data visualisation

AI marketing is all about data. You need to be able to collect, clean, and analyse data to make informed decisions about your marketing campaigns.

Marketers who invest in their basic data analysis skills will be better equipped to:

• Use AI marketing tools more effectively: AI marketing tools rely on data to generate insights and recommendations. Marketers who understand how to collect, clean, and analyse data will be able to get more value out of these tools.
• Automate marketing tasks with AI: AI can be used to automate a variety of marketing tasks. Tasks such as ad targeting, content creation, and email marketing. Therefore, marketers who have a strong understanding of data will be better positioned to identify tasks that can be automated and develop AI solutions.
• Measure the ROI of AI marketing campaigns: It is important to measure the ROI of AI marketing campaigns to ensure that they are delivering results. Marketers with basic data analysis skills will be able to track the performance of AI campaigns and identify areas for improvement.

If you’re not already familiar with data analysis, there are a number of online resources available to help you get started. Here are a few recommendations:

• DataCamp: DataCamp is an online learning platform that offers a variety of courses on data analysis and data visualisation. It is a good resource for marketers who are new to data analysis or want to brush up on their skills.
• Google Looker Studio: Google Looker Studio is a free tool that allows marketers to create interactive reports and dashboards from their data. It is a good resource for marketers who want to learn how to visualise data in a way that is easy to understand and actionable.
• HubSpot Academy: HubSpot Academy offers a variety of free courses on data analysis and marketing analytics. It is a good resource for marketers who want to learn how to use data to improve their marketing campaigns.

Skill 2: Natural language processing (NLP)

• Difficulty: Moderate
• Requirements: Basic understanding of computer science and machine learning

NLP is a field of AI that deals with the interaction between computers and human language. It’s a critical skill for AI marketers, as it allows you to understand and generate human language.

NLP can be used for a variety of marketing tasks, such as:

• Analyse customer sentiment with AI to identify customer satisfaction levels, pain points, and preferences. Use these insights to improve your marketing campaigns and customer experience.
• Generate personalised marketing content with AI by tailoring messaging, product recommendations, and offers to the individual customer. This leads to higher engagement and conversion rates.
• Develop AI-powered chatbots and virtual assistants to provide customer support 24/7, answer questions quickly and accurately, and generate leads.

If you’re interested in learning NLP, here are a few online resources to check out:

• Coursera: Coursera offers a variety of online courses on NLP and machine learning. It is a good resource for marketers who want to learn the fundamentals of NLP and how to apply it to marketing tasks.
• Stanford University: Stanford University offers a free online course called “Natural Language Processing with Deep Learning.” This course is a good resource for marketers who want to learn about the latest NLP techniques and how to apply them to marketing tasks.
• fast.ai: fast.ai is a non-profit organisation that provides free online courses on machine learning and deep learning. It is a good resource for marketers who want to learn NLP and machine learning from scratch.

Skill 3: Machine learning (ML)

• Difficulty: Advanced
• Requirements: Strong understanding of computer science and statistics

ML is a field of AI that allows computers to learn without being explicitly programmed. It’s a powerful skill for AI marketers, as it allows you to automate a variety of marketing tasks.

ML can be used for a variety of marketing tasks, such as:

• Personalise marketing campaigns with AI: Use AI to tailor marketing campaigns to the individual customer’s needs and interests for higher engagement and conversion rates.
• Predict customer behaviour with AI: Use AI to identify customer buying patterns and trends to anticipate future needs and develop more effective marketing campaigns.
• Automate ad bidding with AI: Use AI-powered ad bidding tools to optimise ad bids in real time to maximise campaign performance and budget efficiency.

If you’re interested in learning ML, here are a few online resources to check out:

• Kaggle: Kaggle is a website that hosts machine learning competitions and datasets. It is a good resource for marketers who want to learn ML by participating in competitions and working on real-world datasets.
• Machine Learning Crash Course: Machine Learning Crash Course is a free online course from Google AI. It teaches the fundamentals of machine learning. It is a good resource for marketers who want to learn the basics of ML without having to go through a full-fledged machine learning course.
• OpenML: OpenML is a free online platform for sharing and comparing machine learning models. It is a good resource for marketers who want to learn about different machine-learning algorithms and how to apply them to marketing tasks.

Make a plan

Now that you know the importance of basic data analysis, NLP, and ML for AI marketers, it’s time to make a plan to develop these skills. Learning these three skills will make you a more valuable asset to your team. They will help you stay ahead of the curve in the rapidly changing world of AI marketing. Here are a few practical tips:

• Start by assessing your current skills and knowledge. What do you already know about data analysis, NLP, and ML? Once you have a good understanding of your strengths and weaknesses, you can start to identify areas where you need to improve.
• Set realistic goals. Don’t try to learn everything about data analysis, NLP, and ML all at once. Instead, focus on learning one skill at a time. Set small, achievable goals for yourself and track your progress along the way.
• Find learning resources that fit your needs. There are many different ways to learn data analysis, NLP, and ML. Some people prefer to take online courses, while others prefer to read books or watch tutorials. Find resources that are well-structured and easy to understand.
• Don’t be afraid to ask for help. If you’re struggling to learn a particular concept, don’t be afraid to ask for help from a friend, colleague, or online community. There are many people who are willing to help others learn these skills.
• Apply what you learn to your work. The best way to learn and retain new information is to apply it to your work. Look for opportunities to use data analysis, NLP, and ML to improve your marketing campaigns and strategies.

Learning new skills takes time and effort, but it’s an investment that will pay off in the long run. AI is there to assist marketers in becoming better marketers, not to replace them. By developing your skills in basic data analysis, NLP, and ML, you will be well-positioned to succeed in the future of AI marketing.