Can AI Revolutionize Your Marketing Strategy?

Revolutionizing Marketing with AI

Artificial Intelligence (AI) is revolutionizing the marketing industry today. It can analyze large amounts of data to create tailored experiences, helping companies boost their sales and improve customer satisfaction. In this article, we’ll explore AI’s impact across the different stages of the customer journey and how you can apply it in your marketing.

Importance of AI in Marketing

Every company, regardless of its size or industry, has a marketing and sales department. These departments are often tasked with manually managing and optimizing the customer experience, which can be inefficient. AI offers a solution to this problem by personalizing the customer experience, thus increasing revenue.

Applying AI Before Identifying the Customer

Before identifying a customer, you can use AI in marketing mix models. These models help understand the profit gained from each marketing campaign.

For instance, if you’re running campaigns on TV, outdoor advertising, and social media, AI can help determine the value each channel brings to your business. This can solve one of the most challenging problems in marketing—understanding where your budget is most effectively spent.

Applying AI After Identifying the Customer

Once a customer is identified, you can use AI for lead scoring and conversion. Lead scoring helps determine if it’s worth spending resources on a particular lead, while conversion helps identify the best commercial offer to convert the lead.

Applying AI After a Customer Has Made a Purchase

After a customer has made a purchase, AI can be used in two main ways: value-oriented and experience-oriented.

In the value-oriented approach, you can use AI for upselling and cross-selling, as well as understanding the customer’s lifetime value. Upselling involves strategies to get more value out of your customers, while cross-selling involves selling across different product verticals. Understanding the customer’s lifetime value can help you determine the future value a customer will bring.

In the experience-oriented approach, you can use AI for recommendations, quality of service, and support. Recommendations can engage customers more with your product, while quality of service helps you understand their level of satisfaction. AI can also provide better support by identifying the best person to handle a customer’s complaint or issue.

Applying AI at the End of a Contract

At the end of a contract, AI can predict the type of churn: voluntary or involuntary. Voluntary churn occurs when a customer decides to end their contract. On the other hand, involuntary churn occurs when you decide to end the contract due to reasons such as non-payment. AI can help identify customers who are likely to churn and provide strategies to retain them.

The Three Musketeers of Any Marketing Use Case in AI

The three musketeers of any marketing use case in AI are the offer, the channel, and the time. The offer refers to what you’re offering to the customer, for example, upselling. The channel refers to where you communicate the offer, such as SMS or E-mail.

The time refers to when you are offering the service to your customers on a certain channel. Using AI to optimize these three elements can significantly improve your marketing strategy.


AI offers many opportunities to enhance your marketing strategy and improve your customer journey. By understanding where you’re failing your customers the most and using AI to address these areas, you can improve sales and boost customer satisfaction. If you’re interested in exploring how AI can benefit your business, feel free to reach out to us at NILG.AI. You can also schedule a meeting with us or download our ebook to better understand how to implement AI strategies into your customer journey.

Like this story?

Subscribe to Our Newsletter

Special offers, latest news and quality content in your inbox once per month.

Signup single post

This field is for validation purposes and should be left unchanged.

Recommended Articles

Can Your Business Optimize AI Predictive Models?

Predictive models are transforming the AI landscape. They can forecast future events, identify past occurrences, and even predict present situations. However, building a successful predictive model is not as simple as it seems. To achieve an effective predictive model, you need to consider three crucial moments: the prediction time, the prediction window, and the data […]

Read More
Is Your Business Ready for Generative AI Risks?

Generative AI is a powerful tool that many companies are rushing to incorporate into their operations. However, it’s crucial to understand the possible risks associated with this technology. In this article, we’ll discuss the top nine risks that could impact your business’s readiness for AI integration. Stay ahead of the curve, and make sure you’re […]

Read More
Can the STAR Framework Streamline Your AI Projects?

As a manager dealing with AI projects, you may often find yourself overwhelmed. The constant addition of promising projects to the backlog can lead to a mounting technical debt within your team, forcing you to neglect the core aspects of your business. Here at NILG.AI, we have a solution for this challenge: the STAR framework. […]

Read More