Planning for Hyper-Personalization Integrated Guest Service

A strategic framework for implementing hyper-personalization in hospitality, covering data collection, guest segmentation, AI tools, omnichannel approaches, and ROI planning for lodging operators.

Guest service is noted by some as a differentiator for business success. In a hospitality world where labor issues are a constant, and guests require and demand top quality service, a balance needs to be created to accommodate a price-value relationship that creates high quality service and therefore great guest experiences. The question is, what are hyper-personalization guest experiences and how do we identify service touchpoints and activities?

Hyper-personalization is a business strategy that uses real-time data and artificial intelligence (AI) to give each customer a unique and tailored experience. A hyper-personalized customer experience harmonizes data from consumer behavior to forecast their purchasing habits accurately. Businesses can focus on guest or customer relationship management (CRM) to provide hyper-personalized customer experiences across your sales, services, marketing, and commerce channels. Hyper-personalization in hospitality refers to using advanced data analytics, artificial intelligence (AI), and automation to create deeply individualized guest experiences.

What do your guests want when they come to your operation, what makes the experience unique, immersive, and special? Personal experiences tailored to segments and then individual needs, wants, and desires. Hyper-personalization can enhance customer experiences by utilizing real-time data and advanced technologies and be impactful for guest satisfaction scores, and potentially loyalty for brands and or an individual operations.

Traditionally, hotels segment markets as commercial or business, leisure, tourist, government, military, groups, and meetings and so forth. Segments can differ according to location and s lodging property’s focus. Commercial or business segments could be further segmented into sales, corporate executives, training efforts etc. Groups could be corporate meetings, conferences, trade shows and more. It occurred to me early on that meeting attendees differ and are often driven by who is paying. Corporate meetings could mean a master bill and some ability by attendees to select their outlets, restaurants, and amenities at which they charge items or experiences to a master bill. For tourists, it depends on how one defines a tourist, are they independent travelers, or families? There are standards to be set in your definitions for length of stay, rates, and other metrics such as spending per stay etc.

This is not an entirely new concept, noting that casinos have been tracking players and gaming for years. The point now is that better technology exists to track guests, spending, when, where, how, and potentially why? My suggestion is that an operation’s leadership teams, whether a hotel, inn or food and beverage outlets etc. create their own operational definitions for the segments they serve or want to serve. They should define what are criteria for segmenting the guests and then drill down on the segments from general characteristics to individual wants, needs, and guest history.

For example, one project, we created segments for a Hyde County location at Lake Mattamuskeet in North Carolina had different labels for their segments. The segments for this small property were identified as hunters; (noting various seasons and hunting licenses), fishermen/women (fishing people), leisure groups, in this case for rentals (kayaks, canoes, small boats etc.), and bird watchers. The needs of people in each of these segments differed. In each segment, guest preferences, their likes and dislikes are noted for service products to be offered. In this case, due to the small number of rooms available (fourteen), the project effort was to create revenue streams for the segments identified.

For example, bird watching in general can be further segmented by types of birds and migration of birds etc. The groups of birders identified in this effort were looking for accommodations that are near or in a natural area, with good food service and/or restaurant choices and a glass of wine at the end of the day. In this case the age of the birders visiting the region were middle-aged to older retirees. Hunters on the other hand could be duck season hunters, bear season hunters etc. Their needs might include securing hunting rifles, shotguns etc. and the demographics are often male, with an age range that could late thirties and forties. For service amenities there could also need to be access to recommended guides, and services for processing hunting game. Hunting can be big business!

Today, with the addition of big data and the ability to drill down to the individuals and their preferences, individual hotel stays, or hyper-personalized hotel stays are a key to providing memorable experiences and creating guest loyalty. Building on the data needs for hyper-personalization identify the data core elements . These can be defined as Data-Driven Approaches: Noting, what data and or metrics are needed to best serve the markets for a hotel.

As previously discussed demographics, inclusive of location of origin, travel numbers, single, families, groups, and purpose for travel are welcome data points. The booking process for hotel rooms is a key source of data and is enhanced if the guest is brand loyal. Current interaction(s) with guests from multiple segments can be online, either a destination website or social media sites. Guest stays provide an opportunity to add data to guest profiles and therefore, plan data for future visits.

Also, Tailored Experiences: the trick with hyper-personalization is to increase potential touchpoints with guests and be learning about guests with every action, i.e., pre-arrival, arrival on site, and post departure. Real time data for example can mean facility use (spas, work out areas, etc.), restaurants, favorite menu items, preferred wines etc. Also to be included are personalized pricing and specials that are guest driven based on booking history, loyalty tier(s), or seasonal preferences.

Other categories of data that might be considered are room setup, preferred pillow type, and special occasions, birthdays, anniversaries etc. Once in a room, amenities choices could include snacks, beverage preferences, and toiletries which might be preferences by segment. It may also be prudent to identify guests and their tech savvy and or tech friendly attitude for room controls. I know for myself I do not want to need a training session to operate the lights, the television or HVAC. By analyzing history and patterns , hotels can anticipate requests, such as offering a customized menu for guests who frequently order room service at specific times.

For example, in the pre-arrival stage for guests, hotels can reach out to returning and potential guests for surveys and marketing efforts. For example, health and wellness is a popular topic and spa packages may be sought after opportunities. To enhance guest experiences lodging operators can create customer journey mapping through big data analysis. Mapping the customer journey highlights key moments for impactful personalized support. Detailed interaction data across channels helps businesses create comprehensive customer journey maps reflecting user behaviors and preferences. Hyper-personalized customer experiences can enhance engagement and differentiate from competitors, significantly boosting customer satisfaction, loyalty, and engagement.

Technology can help support marketing and hyper-personalization efforts. Experts note that essential tools for hyper personalization include AI-driven platforms that analyze customer data to deliver tailored experiences. Additionally, seamless experiences across multiple channels is crucial for maintaining brand consistency and enhancing engagement. An omnichannel strategy facilitates true personalization by ensuring that all interactions, whether online or offline, are consistent and personalized. Omnichannel is a holistic approach to marketing that’s inclusive of every channel. The key difference between multichannel and omnichannel marketing is that multichannel marketing includes a limited selection of content channels, while omnichannel marketing includes all of them.

Also think about data privacy noting effective hyper-personalization also balances aggressive marketing tactics with respect for individual privacy. Obtaining informed consent from users is a principal ethical concern when gathering data for hyper personalization. Data privacy is crucial for maintaining customer trust and engagement, in addition to being a legal obligation.

An often-forgotten attribute, trust is a virtue critical for building and maintaining a guest base and loyalty. Trust is often situational, an requires confidence and a lodging property will as the proprietor, provide guests the ability to rely on the operation and its representatives whose expectation will be for service quality and security. For example, sentiment analysis and social listening are tools now available for gathering actionable insights from customer feedback. Regular analysis of customer feedback refines personalization efforts and addresses emerging needs.

Going Forward

Hyper-personalization is no longer optional, it’s the future of hospitality . By leveraging AI, automation, and real-time data, hotels can create experiences that feel unique to every guest. From personalized room setups to predictive offers, hyper-personalization builds loyalty, improves satisfaction, and drives revenue growth. Hotels that embrace this approach today will be better equipped to meet rising guest expectations tomorrow.

Planning for Hyper-Personalization

Research consistently shows that personalized experiences can reduce customer churn by nearly 15%, and 58% of U.S. consumers are willing to pay more for brands that deliver relevant, tailored interactions. Think of this topic as a key for the service industry in general and service sectors specifically. Whatever service your business is part of, lodging, food and beverage, meetings and events, tourism and travel, retail, healthcare, human resources and more the re-skilling that occurs in the service sector is an opportunity to integrate hyper-personalization as a standard part of onboarding and training and education programs. Hyper-personalization programs also face regular assessment and analysis for return-on-investment (ROI). Evaluating ROI involves assessing customer engagement, conversion rates, and overall lifetime value.

Hyper-personalization can be further explained as the Three Pillars of Hyper -Personalization: customized offers, personalized communications, and responsiveness. Hyper-personalization is also noted as a continuous and ongoing process. People, guests, and potential guests are ever evolving and their needs and wants can adjust with the trends and fads of the day and vigilance on the part of a lodging property to be current can keep guest service efforts in front of an ever-changing world. Hyper-personalization is quickly becoming a competitive differentiator in the hotel industry, enabling brands to deliver exceptional guest satisfaction, increase direct bookings, and maximize revenue.

Lodging businesses and properties need think about what they want from a hyper-personalization and consider how to embrace it. Pick a business, a hotel, a restaurant etc. and think about your efforts to provide guests a hyper-personalized experience. Define for yourself what that means for your business, your tools available, data to be utilized, and what results you hope to achieve. Hyper-personalization can and should be an integrated component of a modern service business. It is recommended to benchmark critical incidents or key performance indicators when you consider hyper-personalization successes in your business.

For example, our program has a course where students research, plan, test, purchase products and deliver a menu for approximately forty guests six times a semester. In one instance we had the Chancellor and his spouse as guest for one of the luncheons. She viewed the menu and I heard her tell her spouse, “I cannot eat any of this.” What she did not know is that the students had already made her an alternative meal that met with her dietary restrictions. The students (with a little faculty help) knew that she had eating restrictions ahead of time and create her a special meal. That research effort is pre-planned and long standing, where we can, we will note dietary restrictions.

For this example, I was sitting with them and shared that we were aware of the issue and that it has been taken care of by the students. The expression on her face was surprise and pleasure, clearly helping her to have a great personalized lunch experience. On your journey to hyper-personalization consider documenting successes and potential successes for hyper-personalization occurrences. Your entire team can contribute to this list and then analyze each occurrence by looking for signals-behaviors or signs that alerted you to a situation.

The goal is to build a guest service culture and noting from a description for Netflix , personalization is not a feature; it is the product. What are signals or cues from a guest in a hotel, watch your guests and I believe it will become evident when there is an issue. Facial expressions, actions, repetitiveness of these actions, time of day, length of stay, all could be clues. Additionally, are the guests first timers or have they joined you previously? Look for clues and signals through the service touchpoints in your property. Things like lines at the front desk or wait time at your restaurant are standard clues that are actionable for service.

As a frequent traveler for years, when I arrive at a hotel and ask for recommendations for a restaurant for dinner, I often do not get a suggestion for an in-hotel restaurant. I always find this odd, but under the heading everyone (all employees) guest contact employees or not, need to provide options and opportunities. Partnerships with other local businesses may also be part of the service product offerings. There could be special events near town and coupons for enhanced value. Consider an offsite business that the hotel is partnering with for a special deal for guests? For ourselves, we typically enjoy the hotel restaurants, but we also want to experience the location we are in beyond the hotel, for both food and experiences. Training and education for all employees on service product knowledge is vital and therefore part of the hyper-personalization training and onboarding.

Hyper-personalization analysis means making decisions in real time. What do you (the host hotels and its employees), want to recommend? Are there bundling opportunities? Factors like booking rooms, ordering food and beverage and other service products, plus speed of service, price, value, and availability all are part of the process of implementing a hyper-personalization strategy. Guests want to have unique experiences when they venture out of the house to hotels, restaurants, on tours and visiting special events.

Thinking Ahead

A guest experiences should be genuine and not contrived. When our children were small we took them to Florida on vacation to see their grandparents. As you might presume we did the typical Florida attractions, Sea World, Walt Disney World, Universal etc. and had fun. However, after a while, large, high-volume attractions lost their lure. We discovered in one of the tour books and opportunity to see groups of Manatees at a pond and park near a water treatment plant and discovered on arrival over one hundred manatees, easily visible and enjoying the warmed clean waters. The point was that this was a true natural attraction and it was free, we had a picnic, and visit was genuine. What we were fortunate to find was an experience.

From the customer’s perspective, personalization should feel seamlessly woven in. Consider your location, in your hotel and near your hotel, what you have to offer your guests and potential guests. These offerings can also be integrated into your website, home pages etc. Planning for hyper-personalization is inclusive of customer experiences integrated into operations, merchandising, and mapping guest journeys.

Recent innovations in GenAI are driving the rapid transformation of human–system interaction (HSI) from static and pre-defined personalization into dynamic and integrated hyper-personalization that can decrease the system complexity of each human interaction. The theory is that sequential recommender systems extend personalization beyond session-based recommender systems by modeling the sequence of user interactions over time. This enables the systems to capture behavioral signals across multiple sessions rather than restricting personalization to a single interaction window.

Researchers suggest that modern-day multi-agent personalization systems stand as the closest class of technologies to true hyper-personalization. Think also of the data types to be analyzed in what is referred to as categorization of data modalities for hyper-personalization . These are Explicit Data - Identity and Profile, Implicit Behavioral- Behavior and Usage, Passive Data-Content and Environment, and Derived Data inferred or computed using machine learning model- GenAI, or aggregated external knowledge. For your lodging or hospitality businesses conduct a self-assessment, planning for solutions for yourself and your business!

In your planning processes also consider what impacts will occur based on goals set? What is the Return on Investment (ROI) for hyper-personalization? Helping guests map their experience is to over plan but to provide opportunities at every turn. Our job is to allow guests to make optimal experience decisions. Define for yourself the drivers of customer retention , that is personalization never feels intrusive because it’s rooted in behavioral relevance, not inferred personal data.

Finally, a reminder that “service” is a personal taste, in terms of how people balance efficiency, effectiveness and value. Many operations offer equivalent service products, which are rooms, meals etc., but it will often be the experience for a guest that makes the difference. Personally, I do not want to talk to a chatbot, I prefer a one-on-one personal experience. I am old school as they say, and many want to do everything quickly and on their cell phones. I would say I am not a phone person; I have one, but when it comes to service and experiences my preference is more a personal touch.

The trick for operators is to find the right balance for guests, for service efficiency and personal experience. This can be a lot of work because as noted, service and experience are personal.

Reprinted from the Hotel Business Review with permission from www.HotelExecutive.com.

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Technology Guest Experience Artificial Intelligence Guest Journey Revenue Management Hyper-Personalization

Dr. Robert O'Halloran is a professor and the director of the School of Hospitality Leadership at East Carolina University. He earned his doctorate from Michigan State and has taught courses in planning and development, financial feasibility and food and beverage operations. His publications include numerous articles, and case studies.

Welcome to the Schooll of Hospitality Leadership website. Our program, established in 1987, is now the largest hospitality department of its kind in North Carolina and one of the largest in the southeastern United States. We offer an undergraduate degree with 3 distinct concentrations, (food and beverage management, lodging management, and meeting and convention management), a minor and a MBA with the Hospitality Management option in only five...

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