Gen Z Marketing — A.I. & Hyper-Personalisation

Generation Z refers to those born between the mid-to-late 1990s to early 2010s, and they are set to be the biggest consumer group in the market. Businesses are looking to find ways that can effectively attract Gen Z. In this article, we are going to explore how A.I. can be a solution to Gen Z marketing, especially on improving customer engagement.

The Potential of Gen Z Consumers

What do they want?

Gen Z also places particular value on brand image and their relationship with consumers as they are strongly engaged with social causes and activism. According to research by Facebook, 61% of Gen Z say they would pay more for products that are produced ethically and sustainably (Facebook IQ, 2019). They are also willing to stay loyal to brands, as studies show that 66% of them will stick with the brands that they like and buy from them for years (The Shelf Team, 2020). The marketing campaign of Nike, one of the biggest sportswear companies in the world, has prioritised diversity, inclusion, and social causes, targeting the new generation of buyers, instead of older generations that already had a belief of what the brand stood for (Dorsey & Villa, 2020). Therefore, businesses should focus on building a close relationship with their Gen Z customers.

Building “Hyper-Personalised” Customer Relationship

Based on our research, we believe that A.I. is going to be the key agent to empower businesses to unlock their customer engagement potential and achieve a “Hyper-Personalisation” relationship with their customers. We have briefly talked about this concept in our previous articles, in essence, “Hyper-Personalisation” refers to targeting each customer’s interests and expectations with A.I.-driven automation (Maayan, 2020). The A.I. connects various kinds of customer data, including demographic information and purchasing history to tailor marketing content and match the customers’ desires and requirements. One of the biggest challenges of implementing this concept is collecting and analyzing large amounts of data, hence businesses should choose the right technology platform to perform all of the required functions, such as data collection, prediction, and recommendation.

However, being able to collect data and recommend products or services is only part of the concept. To perform “Hyper-Personalisation”, the relationship between customers and businesses should be as close as possible, and most importantly be able to understand the customers like an actual human assistant. According to research, customers are still being creeped out by various technologies, and personalisation is one of the technologies that is the creepiest (RichRelevance, 2019). Although people are accepting these changes gradually, and Gen Z generally has a higher acceptance of new technologies, personalisation executed in a wrong way may backfire.

How does NLP help?

Businesses can also utilize chatbots to engage consumers proactively and in a personalised manner. When businesses collect all of the various customer information, they will be able to seek out the target customers for any specific products or services. When the customer has arrived at the businesses’ landing page, the site’s chatbot can immediately engage the customer and assist the person’s needs. Furthermore, when the customer is physically near a certain place, the store’s chatbot would also be able to send private messages to the person automatically to notify and recommend the products or services in the area. Last but not least, the chatbot itself can be personalised as well, as users can customize the chatbot in terms of its languages, tones, and attitudes that they prefer. These functions are achievable with the help of NLP, because it allows the computer to understand the user’s needs and preferences through text and language, and it is going to be an essential technology to accomplish “Hyper-Personalisation”.



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