"Empowering Customers in Fast Food: The Argument Against Hyper-Personalization"

In the era of data, analytics, AI, and automation, companies have the ability to provide highly personalized experiences to their customers. However, it is important to consider the potential drawbacks of hyper-personalization in the fast-food industry. This article examines the assumptions made by proponents of personalization and hyper-personalization, highlighting the risks associated with relying solely on past activity data. Instead, the focus should shift towards individualization and situational analytics, allowing customers to have control over their experiences. By doing so, fast-food companies can achieve a balance between personalized offerings and customer empowerment.

From Customization to Something Smart: The concept of customization, as defined by Joe Pine, involves creating a specific offering for an individual customer. Today, personalization has evolved to encompass tailoring standard offerings to individual customers, demonstrating an understanding of their preferences. The advancements in data, analytics, AI, and automation enable companies to take personalization further, leading to the emergence of hyper-personalization. Hyper-personalization involves customizing every step of the customer's journey based on their past preferences and behavior. While hyper-personalization promises benefits such as reduced time, costs, and inventory, as well as increased value, quality, and trust, it is important to approach it with caution.

The Past Activity Trap: An assumption often made in personalization and hyper-personalization is what we call the "past activity trap." Once companies begin personalizing experiences, they tend to overlook the importance of continuously seeking customer preferences. Algorithms used in personalization technology primarily rely on past activity data, assuming that past behavior is the best predictor of future preferences. However, this approach overlooks the changing circumstances and needs of customers.

Individualization and Situationalization: To better understand the alternatives to hyper-personalization, let's explore individualization and situationalization. Individualization grants customers control over their customization experience, allowing them access to their data to plan their food choices. Situationalization, on the other hand, employs data, analytics, AI, and automation to address the situational needs of customers. By combining individualization data with contextual data such as location, time, weather, and social factors, companies can anticipate and cater to specific customer needs in different situations.

The Importance of Context: The limitations of hyper-personalization become evident when considering scenarios where customers' circumstances change. For instance, a coffee chain may observe a customer's reduced visits due to getting married and having breakfast at home with their spouse. Hyper-focused on past data, the company may launch a personalized outreach campaign to encourage the customer to return, unaware of the change in their situation. However, by providing customers with tools to track their own activity and adjust preferences accordingly, companies empower them to direct their own experiences. Sharing contextual data, such as time of day, weather, and family members, further enhances the understanding of customers' specific needs, leading to better anticipation of their preferences in similar situations.

The Need for Customer Empowerment: The danger lies in assuming that companies know precisely what customers want in every situation, leading to incorrect recommendations. Instead, fast-food companies should shift their focus towards individualization, where AI acts as a co-pilot of the experience, granting customers control. By concentrating on common situations customers typically encounter, rather than solely relying on past preferences, behavior, and channel choices, companies can collect and analyze relevant data to accurately predict customer needs. Situational analytics, with its simpler data collection, analysis, and comprehension, not only simplifies the process but also garners greater customer appreciation.

Conclusion: 

Fast-food companies must strike a balance between personalization and customer control. Hyper-personalization, while appealing, can be limiting when customer circumstances change. Instead, the approach should shift towards individualization, where customers have control over their customization experiences, and situational analytics, which focuses on common situations customers find themselves in. By empowering customers and considering their specific needs, fast-food companies can provide a superior experience that aligns with customer expectations while avoiding the pitfalls of hyper-personalization.