Marketing automation is a must for any ambitious marketing team and with OpenAI’s ChatGPT, AI has been made more accessible to the public. In this post, we’ll go into why marketing automation and AI are a power team and will streamline your processes and work tremendously.


What is Marketing Automation?

Marketing automation refers to the use of technology and software to automate and optimize marketing processes. This includes tasks such as lead generation, email marketing, Campaignand customer data analysis. By automating these processes, your company can save time and resources that would otherwise be spent on manual tasks. More on the topic of marketing automation.

Why is marketing automation important?

An important part of marketing automation is the use of data and analytics to measure and optimize the effectiveness of marketing efforts. This way, your company can better understand the target groups and better meet their needs. So by automating processes and applying data analytics, you can constantly improve your marketing strategy to increase sales.

What is AI?

Artificial intelligence (AI) is a form of computer technology that enables machines to perform intelligent tasks that can otherwise only be done by humans. This includes tasks such as problem solving, decision making, learning, and prediction. Link to the wiki article if you want to read more about it.

Applications of AI in Marketing Automation

AI is a technology that enables computers to learn and make decisions on their own. In the context of marketing automation, AI is used primarily in the areas of chatbots, personalization, and predictive models.


Chatbots are computer-based dialog systems that enable people to communicate with customers via text or voice messages. For example, they can automatically answer customer inquiries or be used for lead generation. By using AI technologies such as natural language processing, chatbots can engage in human-like conversations to improve customer interactions. With Synthesia, you can create chatbots not only with voice, but also with AI-powered video.

Used correctly, the chatbot can even support sales or even sell directly by making suitable offers based on the customer’s questions and experience with the company and the website. This makes the chatbot much more human, gives the customer a huge boost in their experience with the company, and saves you a lot of time in handling requests. We’ve put together three use cases for how you can generate leads with chatbots.


Personalization is the adaptation of marketing measures to the individual needs and interests of individual customers. AI technologies make it possible to automatically create personalized offers and content by analyzing customer data using dynamic content. This can increase the likelihood that customers will respond to offers and ultimately help increase customer loyalty. AI-powered personalization brings these benefits in particular:

  • Increasing customer loyalty: Personalized offers and marketing can help strengthen the relationship between a company and its customers by giving the feeling that the company knows the customer’s needs and interests.
  • Increase conversion rate: Personalized offers and marketing campaigns are often more relevant to the customer and therefore more likely to lead to a conversion. Thanks to AI, you can increase the conversion rate automatically.
  • Increasing efficiency: Personalization enables companies to better respond to the needs of their customers and thus increase the efficiency of their marketing activities.
  • Increase sales: Personalization can help customers buy more often and spend more.

Forecasting models

Predictive models are another important application of AI in marketing automation. By analyzing data, predictive models can predict which customers are most likely to make a purchase or which customers are at high risk of losing loyalty. This way, your company can target the needs of customers more specifically and thus increase sales.

These 10 forecasting models are used particularly frequently.

  • Time series forecasting: these models are used to predict future demand for a product or service by analyzing historical data. Link to the wiki article if you want to know more.
  • Classification models: these models are used to divide customers into different segments to create personalized offers. Link to the wiki article if you want to know more.
  • Regression models: these models are used to predict the impact of factors such as advertising campaigns, price changes, and seasonal variations on sales. Link to the wiki article if you want to know more.
  • Recommendation systems: These models are used to provide customers with personalized product recommendations by analyzing their behavior and purchase history.
  • Neural Networks: These models are used to predict complex, non-linearly dependent relationships between different factors. Link to the wiki article if you want to know more.
  • Sentiment analysis: these models are used to analyze customer sentiment and opinion about a company, product or service by sifting through social media, reviews and customer feedback. Link to a Microsoft post if you want to know more.
  • Predictive lead scoring: these models are used to predict the likelihood that a potential customer will actually become a customer by analyzing factors such as demographics, behavior, and interactions with the company.
  • Predicting customer value: these models are used to predict a customer’s future value to a company by analyzing factors such as buying behavior, demographics, and frequency of interactions with the company.
  • Customer churn prediction: these models are used to predict the likelihood of an existing customer leaving the company by analyzing factors such as buying behavior, interactions with the company, and demographic data.
  • Marketing channel prediction: These models are used to predict the performance of marketing channels such as social media, email marketing, and search engine optimization by analyzing historical Campaignand predicting future results.

Advantages when you combine marketing automation and AI

Artificial intelligence of course brings many benefits and will become more powerful in the future, but for marketing automation, the most important ones are saving time, increasing efficiency and improving customer loyalty.

Increase efficiency and save time

One of the biggest benefits is the time saved by automating processes. This allows you to focus on other important tasks instead of wasting time on manual tasks. Below you will find four examples of how to save time.

  • Campaign: AI-based tools can automatically monitor and optimize marketing campaign performance by analyzing results and making adjustments in real time. This saves time that would otherwise be spent on manual analysis and adjustments, and allows companies to respond more quickly to changes in Campaign.
  • Lead generation: AI-based tools can automatically identify and contact potential customers by searching social media, online forms, and other sources for information. This can save the company time that it would otherwise have to spend on manual research.
  • Support: AI-based tools can automatically answer customer inquiries and resolve issues by searching past interactions and FAQs. This can help companies spend less time on manual support tasks. Thanks to the chatbot, this can also be easily integrated into a website.
  • Email marketing: AI-based tools can automatically create and send personalized emails by analyzing customer data and suggesting the best offers and content. This can save the company time that would otherwise be spent on manually creating and sending emails.

Of course, there are many more and there will be many more in the future. But these four have an enormous advantage, because it is precisely in these activities that a great deal of manual work normally has to go in.

Improve customer loyalty

Another advantage is the improvement of customer loyalty. By using AI technologies such as personalization and predictive modeling, companies can better understand and target their customers’ needs and interests. Personalized offers and content can thus help customers feel even more seen and understood, leading to higher customer loyalty. Predictive models also allow companies to better meet the needs of their customers, which inevitably results in an increase in sales. Every marketer knows that higher customer engagement is always worth its weight in gold, and with AI, you can even automate that to a very high level.

Implementation of marketing automation and AI

Let’s talk about the challenges your organization may face when implementing these technologies. By challenges, we mean in particular the selection of the right tools and technologies, their integration into existing processes, and the training of employees. This point underscores the importance of taking the right steps to ensure that marketing automation and AI implementations are successful and improve business performance.

Choosing the right tools

An important step in the implementation process is selecting the right tools and technologies. There are a variety of different solutions on the market, which can vary depending on the size of the company, the industry and the goals. You should therefore take the time to research the different options and choose the ones that best suit their needs. Here are some factors to consider when choosing the right tools:

  • Functionality: make sure that the tool you choose offers all the necessary features for your marketing strategy. Especially for small or medium-sized companies, fully comprehensive tools are not needed at all, because 80% of the functions are never used.
  • Integratability: Make sure the tool integrates easily with your existing marketing technology suite. It doesn’t make sense if you don’t buy a compatible tool.
  • Ease of use: The tool must be easy for you and your team to use and understand. That is why it is recommended that you always test with a free version or a demo version first.
  • Scalability: The goal with marketing is to make more sales and grow. Your tool has to be able to keep up, otherwise you’ll be working yourself into a piece of software that you’ll have to replace in a few years.
  • Support and training: Ok, this point is often underestimated and is essential. You want a solution to your problem at all times. It doesn’t matter whether you use training materials or competent support (preferably both).

Implementation in existing processes

Another important step in the implementation of marketing automation and AI is the integration into existing processes. This requires collaboration between different departments within the company to ensure that the new technologies can be integrated into existing processes. It is important that all stakeholders understand how the new tools and technologies work and how they can be used to increase the efficiency of the processes.

Data quality

To realize the full potential of AI and marketing automation, it is important that the data used is of high quality. This means that the data is complete, up-to-date and accurate. Good data quality enables AI systems to make accurate predictions and decisions, leading to better outcomes. Incomplete, outdated, or inaccurate data, on the other hand, leads to inaccurate results and decisions that can impact the business. Therefore, it is important to regularly monitor and improve data quality to ensure that AI systems are working with reliable data.

Process integration

It is important that AI and marketing automation are integrated into the company’s existing processes and not used as stand-alone solutions. This requires collaboration between Marketing, IT, Sales and other departments to ensure that solutions are integrated with existing processes and systems. Integrating with existing processes can ensure that AI systems are embedded into daily business processes and that employees can take full advantage of the technology. However, isolating solutions can result in them not being fully utilized and their potential going unrealized.

Training and support

To fully realize the potential of AI and marketing automation, it is important that the company’s employees are properly trained and supported. Thorough training enables employees to fully understand the solutions and use them effectively. Support should also help resolve issues quickly and ensure that employees can continuously improve solutions. Inadequate training and support can result in employees not fully utilizing the solutions and results falling short of expectations. AI, like marketing automation, is still relatively new and therefore still a bit complex and fraught with stumbling blocks. Good training not only helps get this out of the way, but also motivates employees and can provide motivation.

Privacy and security

Since AI and marketing automation rely on the processing of large amounts of personal data, it is important that privacy and security requirements are met. This means that data must be stored and protected securely to prevent misuse or data breaches. Companies must ensure that they comply with all applicable data protection laws and regulations to minimize potential risks. Poor privacy and security practices can result in significant penalties and damages to your business and customers. Switzerland is launching a new data protection law (revDSG) and you need to make sure that your company doesn’t fall into a trap here.

Sustainable solutions

It is important that AI and marketing automation are seen as sustainable solutions. This means that solutions should be long-term and scalable to meet the changing needs of your business. It is also important that the solutions are flexible and can adapt to changing business conditions and keep up with growth.

Challenges and potential risks

Any technology (especially new ones) have some challenges and potential risks. If you want to integrate AI into your marketing, then you need to consciously address the potential threats to ensure your business is able to successfully navigate them.


One of the biggest challenges is the cost associated with implementing AI systems and marketing automation solutions. These solutions usually require a high level of investment, especially in the purchase of hardware and software, as well as in staff training if you want to go big. For most companies, however, you can rely on existing software solutions that have already invested in the necessary hardware.

Employee acceptance

Another challenge is employee acceptance of AI systems and marketing automation. Employees may be concerned that their jobs will be jeopardized by automation, which can lead to resistance to implementation. This needs to be addressed very early on to keep employee motivation high.


An error in programming or a misconfigured system can lead to unexpected results, which can reduce the effectiveness of the solution. However, you can neutralize this risk to a large extent with good training by the provider. Certain providers even offer Quickstarter packages where you set up the Campaignfor the first time, which of course also helps.

Not a complete list

I would like to point out that the number of challenges and problems that can arise can be endless and it is difficult to list them all. It’s important that companies plan carefully and proceed cautiously when implementing AI and marketing automation to ensure they achieve the best possible results. It’s also important that companies regularly monitor their implementations and make adjustments to ensure they stay at the top of their game and achieve their goals.


In summary, marketing automation and AI will be an important part of future marketing strategies and companies using these technologies can optimize their marketing processes and strengthen customer loyalty with reduced effort and better success. Companies should take the time to explore the various options and select the technologies that best fit their needs to be successful in the future. And even if you don’t want to invest in this new technology yet, it’s definitely advisable to follow the topic so that you don’t miss the boat and miss out on success.

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