Enhancing Travel Experiences: The Role of Hyper-Personalization in Hospitality

Key takeaways:

  • Hyper-personalization remains relatively unexplored by travel and hospitality firms
  • Utilizing customer data can deliver new levels of service and experience
  • Integration of data, AI, analytics and automation is essential for success
  • Investment, assessment and expertise can help firms stand out in a competitive sector

Enhancing Travel Experiences: The Role of Hyper-Personalization in Hospitality

In practically every walk of life, consumers are increasingly expecting greater levels of personalization. Taken to its greatest extent, hyper-personalization is helping brands target customers on an individual level, to encourage loyalty and specific actions during the sales journey and beyond.

In the travel and hospitality industry, the potential of hyper-personalization has been widely recognized, but remains relatively unfulfilled compared to other consumer-facing industries. This blog explores how personalized marketing in hospitality can work in practice, and just how beneficial it can be in a competitive landscape.

What is Hyper-Personalization?

Hyper-personalization refers to the creation of the most customized, targeted, data-driven guest experiences, aimed at engaging individual users and consumers. It’s achieved through the combination of data, automation, analytical tools and automation, and the integrated use of these delivers the best results. Whereas standard personalization creates experiences based on previous customer interactions and data, hyper-personalization leverages real-time data to shape experiences as the customer interacts.Data-and-AI_banner_Service-page

Benefits of Hyper-Personalization

Before even considering hyper-personalization, businesses in the travel and hospitality sector are lagging behind with even standard personalization practices. According to Forrester, less than 40% of consumers rate companies in the sector highly for personalization.

This means moving towards hyper-personalization can deliver huge steps forward in a range of different areas, such as: 

  • Improved customer satisfaction: when guests and travelers receive hyper-personalized services – from preferred dining choices to their ideal room option – they feel highly valued and respected by the brand. This level of satisfaction encourages repeat custom, and supports a higher Net Promoter Score.
  • Stronger trust: brands that demonstrate a clear understanding of an individual’s preferences – and responsible use of personal data – will be more trusted in the long-term. This not only inspires loyalty, but also advocacy in customers that will share positive experiences with friends, family and co-workers.
  • Competitive advantage: standing out as a business that values its customers highly can be a key differentiator in the highly competitive travel and hospitality sector. Customers will always be more likely to book with a business that they know puts their expectations first.
  • Healthier revenue opportunities: building deeper connections with customers opens greater opportunities for targeted promotions, upselling and cross-selling, all of which can make a real difference to profitability. Maximizing the efficiency of marketing efforts can also help reduce costs without compromising results.

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When these benefits are realized, the importance of hyper-personalization can then be felt throughout the business as a whole, and enable:

  • Data-driven decision-making: the analytics and data involved in hyper-personalization can help foster a culture of data-driven decision-making, where guesswork is removed and businesses can work towards the future with confidence. That’s why, over 90% of businesses are already pursuing data initiatives.
  • Customizable payment solutions: having the capability to analyze spending patterns, transaction records and wider behavioral data allows payment solutions to be customized. Not only does this give customers flexibility, but it also maximizes the likelihood of bills being paid in a timely manner, which supports smoother cash flow. This is vital at a time when, according to McKinsey, more than 60% of American consumers are using at least two forms of digital payment.
  • Frictionless travel experiences: The Hilton Trends Report found that 56% of travelers search for options that will make their travel experiences easier. This can be supported by AI-powered personalized travel agents that can help craft trips and itineraries that perfectly suit customer preferences. By providing such seamless and tailored experiences, hotels can significantly increase their net promoter scores, as satisfied customers are more likely to recommend the brand to others.

Explore our blog post on: The importance of hyper-personalized user experience in eCommerce

Implementing Hyper-Personalization Tactics in Travel and Hospitality

There is so much that travel and hospitality firms can do with hyper-personalization, in no small part because of the huge volumes of data at their disposal. In many cases, it’s a lack of up-to-date and integrated solutions that have held them back, but with the right technology, areas that can be transformed include:

Icon1_Personalized pricing and offers Personalized pricing and offers:

Examples include United Airlines, who use machine learning to create personalized offers for seat upgrades, priority boarding and other services; and Hyatt Hotels, who boosted revenue by $40 million in six months by matching hotel suggestions and service offers to guest preferences and behavior.

Icon2_Pre-arrival surveys Pre-arrival surveys

Encouraging hotel guests to complete a survey before they arrive provides vital information on their preferences. This allows staff to make hyper-personalized preparations to the customer’s liking, such as room type, room temperature and even the firmness of the pillows.  

Icon3_Customized guest services and amenities Customized guest services and amenities

The first two points can come together enabling hotels to provide hyper-personalization, such as for services and amenities during a guest’s stay that they are most likely to be interested in.

Icon4_ AI-based Virtual Concierge AI-based Virtual Concierge

Applications on hardware within rooms or on guests’ mobile devices can connect them to personalized recommendations across dining, attractions, activities and other services. Furthermore, it delivers a high quality service far cheaper and at a far greater scale than a human concierge could manage.

Icon5_Geotargeted notifications Geotargeted notifications

Personalized notifications and information can be sent to guests’ mobile devices when they approach the hotel or other points of interest, including relevant discounts and offers.

Icon6_Surveys and feedback loops Surveys and feedback loops

Obtaining feedback and data from customers after their stay or trip serves two purposes – understanding the success of current hyper-personalization measures, and gaining insight on individual preferences that can be used the next time the customer books.

Icon7_Disruption management Disruption management

Using intuitive insights and real-time data streams to flag up problems as early as possible, and take decisive and personalized action to resolve any disruption or delays that customers face.

In Summary: How to Implement Hyper-Personalization in Your Marketing

It’s clear that hyper-personalization will be an increasingly important part of the future for almost every travel and hospitality business. Firms who aren’t getting it right will be left further and further behind by their competitors who are.

The key is to identify and work towards customers’ “Zone of Tolerance”, where they feel familiar and content with experiences that work seamlessly and are intuitive to their needs. From this foundation, firms can work towards the “Zone of Delight”, and develop experiences that stand-out from the crowd and live long in the memory.
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On a practical level, three things are needed to make this possible:

  • Investment in technology: deploying the right analytical tools, AI powered solutions and integrated platforms to make hyper-personalization efficient and effective.
  • Regular assessment and adaptation: continuous monitoring and improvement of hospitality technology to keep offerings competitive, and adapt to new customer and market trends.
  • Deep sector and technology expertise: seeking the support of a third party provider who not only understands what’s required from a technological perspective, but also understands the needs of travel and hospitality firms specifically.

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Why Digital Experience Design Matters: Key Strategies and Best Practices

Key takeaways:

  • Digital experience design is vital for ensuring customer retention amid high churn rates
  • User research and fast iterative approach are key parts of the strategy
  • Users want ease of use, transparency and ethical design elements
  • New technologies will make digital experience design even more important in the future

Why Digital Experience Design Matters: Key Strategies and Best Practices

When it comes to user activity online, digital experience design makes a bigger difference than ever before. When users are able to shop around easily, whether it’s purchasing from a different brand or choosing one app over another, making a lasting positive impact is absolutely vital.

Linearity research has found that as many as 88% of consumers are less likely to return to a website if they’ve had a bad experience with it. And when you consider that 94% of first impressions on a website are design-related, it’s clear that digital experience design has a huge influence on the success or failure of any online presence.

In this blog, we’ll explore digital experience design in detail, including how it works, the foundations behind it, and how best to apply it in practice within your organization.

What is Digital Experience Design?

Digital experience design refers to the creation of experiences across an entire digital footprint that are considered, coordinated, and that enhance interactions with the organization across every touchpoint. Good digital experience design will generally bring together three interconnected factors:

Icon1_UI User Interface (UI)

The points of interaction between a user and the brand, taking into account all visual design aspects, including content, typography, fonts, images, videos, graphics and more.

Check-box User Experience (UX)

The ways in which digital footprints are optimized, with the aim of maximizing user satisfaction. This means addressing usability, accessibility and enjoyability, and removing any barriers to users getting the fast, stress-free and intuitive experiences they want.

Icon3_CX Customer Experience (CX)

Customer experience combines UI and UX, but ultimately takes a more overarching view around how customers use a website or app. In particular, it focuses on the whole journey towards the intended outcome, whether that’s a purchase, completing a sign-up form, or accessing a target web page.

Why is Digital Experience Design Important?

Digital experience design has a crucial role to play in enticing users to engage with digital content, for them to do so for extended periods of time, and to come back and do so again in the future. According to SharpSheets, 73% of mobile app users churn within 90 days, so trying to retain and attract users should be a constant effort.

When digital experience design is done right, it can support:

Stronger user engagement and retention: when users enjoy the experience, they are far more likely to explore the website or app further, and build an emotional connection.

Deeper brand loyalty and customer satisfaction: connected to the first point, that connection makes it more likely that a user will come back to the brand in the future instead of opting for a competitor.

Increased conversion rates: more engagement and more loyalty means greater conversions, which support a stronger bottom line in the long term.

The Foundations of Digital Experience Design

Behind the three key concepts that drive digital experience designs are a range of principles that encourage best practice and drive the best possible result. These include:

Human-centered design: ensuring that designs, planning and decision-making is always focused around the expectations, desires and pain points of the user, rather than business objectives or the bottom line.

Information architecture: ensuring that content is structured and organized properly, so that it is easy and clear for users to navigate their way through a website or app, and reach the intended objective.

Continuous user research: working to understand user sentiment and preferences through interviews, surveys, usability testing and other methods – especially as these preferences constantly evolve. This allows the right design decisions to be made, based on hard evidence rather than assumptions.

Fast iterative approach: implementing rapid prototyping and agile methodologies to quickly test ideas, gather feedback, and refine designs in short cycles. This allows for greater flexibility, responsiveness to changing requirements, and faster time-to-market for new features or improvements.

Avoiding ‘dark patterns’: these tactics that manipulate users into the intended actions, even when they didn’t plan to do so, can be extremely powerful in driving business success. However, they are widely disliked by users, who want to feel in control of their own online activity, so avoiding them is vital for fostering trust, and by extension, brand loyalty.

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Product Lifecycle Management for Consumer & Retail


Key takeaways

  • Detailed PLM for retail can be transformative in a changing landscape
  • Eight product lifecycle stages, from concept to disposal
  • PLM can underpin growth if pressing challenges are resolved
  • A good deployment should address people as well as technology

Product Lifecycle Management for Consumer & Retail

The increasingly digitized and globalized nature of retail means that it’s tougher than ever to drive and maintain competitive advantage. Consumers have never had more choice around how, when and where to shop – especially online – so connecting with them through appealing and innovative product ranges is key.

Of course, customer trends and new innovations come on stream all the time, so being able to constantly adapt offerings is a vital part of maximizing market share and profitability. Product Lifecycle Management is the solution that makes this possible, and in this blog, we’ll explore how PLM in retail works, why it’s so beneficial, and the challenges to navigate along the way.

Introduction to Product Lifecycle Management

Product lifecycle management covers the journey of goods throughout its lifespan, from its initial concept and development, all the way through to its retirement and disposal. 

PLM in retail is especially important, because it allows retail businesses to plan ahead with their offerings and product ranges. Different items can be planned for development, release and retirement at different times, so that retailers can best optimize their ranges. Retail PLM software is a key tool in making this management as easy and user-friendly as possible.

In recent years, there has been a growing trend of prioritizing employee experience in internal tools, recognizing that it leads to increased productivity, loyalty, and job satisfaction. Aligning with this, a well-designed retail PLM system, shaped by experience design principles, can significantly boost employee satisfaction by streamlining workflows and taking the stress and inefficiency out of lifecycle management.

Eight Stages of Product Lifecycle Management

PLM in retail can vary slightly, depending on the nature of the product involved. But generally speaking, there are eight main stages of the lifecycle:

Concept: brainstorming and gathering ideas for new products (or improving existing products), based on market potential, feasibility, and wider company objectives.

Research: competitor analysis, market research and consumer sentiment analysis can help refine the concept to maximize its chances of success.

Planning: developing the product strategy, including project timelines, relevant KPIs, target market identification, resource allocation and pricing decisions.

Prototyping: creating initial models and simulations for testing and refinement, which may necessitate several iterations through feedback and results.

Production: at this stage, the goods can move into production, albeit with a constant focus on optimizing manufacturing processes and ensuring rigorous quality control throughout the supply chain.

Sales: the product is launched into its target marketplace, with the support of marketing campaigns and distribution channels that seamlessly connect customers to purchases.

Support: providing customer service to address any issues that arise, and gathering feedback to inform future improvements, fixes and iterations.

Retirement: phasing a product out of sale, which should include sustainable disposal and recycling of unsold goods to limit any impact on the environment, as well as transitioning customers to newer product versions if required.

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Top 7 Use Cases of Generative AI in Finance and Banking


Key Takeaways:

  • Generative AI’s use cases in finance are expanding all the time
  • GenAI supports speed, efficiency, accuracy, compliance and more
  • Data privacy, ethics and bias concerns should be addressed
  • Having the right expertise to guide a GenAI deployment is essential

Top 7 Use Cases of Generative AI in Finance and Banking 

Generative AI is continuing to make waves throughout the business world. Its applications in industries where written and visual content are especially important to normal operations, have become well-established.

However, generative AI is also making a real difference in sectors where its use might not be as obvious, including in banking and finance. This blog explores the role of GenAI in finance, and how artificial intelligence is powering innovative financial AI innovations.

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How to Choose the Best Software Product Engineering Services Company?


Key Takeaways

  • Software product engineering companies can provide much-needed support and expertise to drive growth
  • Every partner is different, so a careful selection process is needed
  • Explore cultural fit, credentials, technical expertise and more
  • Follow a 12-step checklist for the best chance of making the right choice

How to Choose the Best Software Product Engineering Services Company?

Making the most innovative software and getting into the marketplace fast is a key driver of competitive advantage. With up to 25% of corporate businesses choosing to outsource services for their software demands, it’s clear that many companies recognize the value of external expertise. However with so many different software engineering service providers out there, it can be difficult to know where to turn when you’re looking for additional support and expertise.

This blog covers all the keys around looking for software product engineering services, including the most important questions you should ask of a prospective partner, and what stands the top software product engineering firms out from the crowd.

Define Your Project Requirements and Objectives

The vital first step is to clarify the overall purpose and objective of your next product. Every software product development services company is different, and will have their own specializations and core areas of expertise. Knowing what you want from a partner will help put your evaluation process in the right context.

Begin Your Research for Potential Companies 

With this context established, you can then begin to start researching potential partners and compiling a shortlist to examine further. This should be much more than a quick Google and a couple of phone calls – your research should encompass many different processes that cover all the bases, such as:

Assessing Industry-Specific Experience

Any good partner for software product engineering services will be able to demonstrate a proven track record in your industry, and the types of software you want to develop. For example, Ciklum has more than 20 years of experience solving complex corporate challenges and driving business growth, thanks to our global team of over 4000 highly skilled engineers, experience design specialists, product owners and consultants.

Evaluating Case Studies, Portfolios and Testimonials

Connected to the previous point, a good partner will be able to provide an extensive range of case studies, demonstrating how their expertise and solutions have been applied for real world success. At Ciklum, this includes applications that have transformed banking & payments, hi-tech, retail & consumer goods, education, travel, healthcare, logistics and a host of other industries.

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