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The History of Loyalty Point Culture in Japan and What Businesses Can Learn From It

01/10/2025

756

Quy Huynh

In Japan, loyalty point culture has become second nature. From everyday shopping to train rides and online payments, points are deeply rooted into daily life in a way that few other countries can match. What started with simple paper stamps more than a century ago has evolved into mobile-first ecosystems that shape how people shop, save, and even invest.

This article takes you through the fascinating history of loyalty point culture in Japan, how the digital era is reshaping the habit, the many ways consumers now earn and use points, and the vibrant poikatsu subculture that has turned point collecting into a lifestyle.

The Roots of Japanese Loyalty Point Culture Obsession

The history of loyalty point culture in Japan

Japan’s passion for loyalty points has a surprisingly long history. The very first known program dates back to 1916, when a clothier in Kita Kyushu City, Kuga Gofukuten, rewarded repeat customers with paper stamps that could later be exchanged for goods. In 1928, confectionery maker Ezaki Glico, the company behind the world-famous snack Pocky, took the idea to a national scale. Glico placed coupons inside candy boxes, and children who collected 20 coupons could trade them in for a toy or gift. This strategy turned candy into a fun challenge and built emotional loyalty to the brand.

The loyalty culture grew slowly at first. It wasn’t until the late 1950s that American-style trading stamps arrived in Japan. Trading stamps were small coupons given out by stores for each purchase. Shoppers could paste them into booklets, and when the booklet was full, redeem it for merchandise from a catalog.

By the 1980s, loyalty took a leap forward with the spread of cash cards and credit cards. Card issuers began attaching rewards to encourage spending. In 1984, airline ANA launched its first mileage card, letting travelers turn flights into redeemable points. A year later, in 1985, electronics retailer Yodobashi Camera introduced one of the country’s earliest retail point cards, giving customers a discount on purchases. For shoppers, it felt like free money but for retailers, it was a clever way to keep customers coming back instead of going to another shop.

The movement accelerated quickly. By the late 1990s, loyalty cards were everywhere not only in retail, but also in department stores, hotels, and banks. From this point onward, Japan entered the modern era of nationwide point networks, many of which still dominate daily life today. In 2002, Rakuten launched its Super Points program, first as a simple cashback on its e-commerce site, but soon expanding into a vast ecosystem that covers credit cards, travel bookings, banking, and even mobile services. 

Just a year later in 2003, Culture Convenience Club (the company behind Tsutaya video rentals) introduced T-Point, Japan’s first large-scale coalition loyalty program. Suddenly, customers could earn and spend points not just in one store, but across convenience stores, gas stations, restaurants, and online platforms. 

In 2007, Seven & i Holdings, operator of 7-Eleven, rolled out Nanaco, a prepaid e-money card that also rewarded shoppers with points for everyday purchases. Ponta, launched in 2010 by Lawson and GEO, later deepened its reach through a tie-up with telecom giant. Meanwhile, NTT Docomo brought its massive subscriber base into the loyalty world with d POINT in 2015, quickly extending the program beyond telecom to retail, dining, and even Amazon Japan.

The latest wave came from the mobile payment boom: in 2018, SoftBank-backed PayPay launched aggressive cashback campaigns that made QR code payments mainstream, later rebranding its system as PayPay Points in 2022.

How Digital Eras is Changing Collecting Loyalty Points Habit of Japanese

Looking back, it’s clear that the tools have changed, but the habit itself has not. From paper stamps in a clothes shop to QR-code payments at a convenience store, Japanese consumers have always loved the small reward that comes with everyday spending. Whether traditional or modern, the joy of earning points remains the same.

A survey by NTT Docomo revealed just how deep point based loyalty program culture runs: over 80% of Japanese people between 15 and 79 years old actively look for ways on how to get loyalty points in their daily shopping. Imagine buying the same bottle of green tea at two different stores. Most people will choose the one that gives them points.

For brands, this shift is both an opportunity and a challenge. On the one hand, digital platforms make it possible to connect loyalty across physical stores, e-commerce sites, and mobile apps, creating powerful ecosystems. On the other hand, companies must be careful: how to apply digital transformation to your business without losing the identity and trust that your brand has built over decades?

The lesson from Japan’s loyalty story is that technology should not erase tradition but it should amplify it. The habit of collecting points has lasted more than 100 years and will continue to last for a long time. Brands that adapt loyalty to new digital platforms while preserving the sense of authenticity will succeed.

Many Interesting Ways Japanese Earn Points

In Japan, how to get loyalty points is no longer just about swiping cards at the cashier. Today, most point based loyalty programs are tied directly to mobile apps, making it possible to collect loyalty points rewards almost everywhere and in surprisingly fun ways.

1. Online Shopping & Mobile payment apps

This is the most common way to get loyalty points, for platforms like Rakuten Ichiba give Rakuten Super Points when you buy anything online, you will often get 1% back, sometimes much more during special “bonus point” events.

Mobile payment apps like PayPay or Rakuten Pay automatically give you points when you pay with your phone. Many Japanese consumers now choose cashless payments not just for convenience, but because every tap of their phone means a few extra points earned.

2. Commuting & Public Transport

The JRE (Japan Rail East) provides a loyalty points program via their Suica card (e-money transport). When using Suica, especially its mobile version, you can earn points with bonus rewards on off-peak hours or repeating use the same train line over ten times a month.

These points aren’t just for travel. They can be earned or redeemed at JRE Mall, convenience stores, food stalls, and vending machines in stations. Travellers can even use them for Suica top-ups or seat upgrades on bullet trains. Since Japanese train stations are filled with shops and vendors, the program feels both convenient and rewarding in everyday life.

3. Streaming, Subscriptions and Digital Content

Even your entertainment choices can earn you point based loyalty rewards. For example, Rakuten integrates its Super Points into its digital ecosystem: buying an eBook, subscribing to a movie streaming service, or even booking an online concert can all add points to your balance.

What makes this powerful is that the points you earn for leisure can later be spent on essentials like groceries or utility bills. This blurs the line between fun spending and serious savings making loyalty points a subtle but effective part of household budgeting.

4. Special Promotions and Bonus Campaigns

One of the reasons point based loyalty programs remain exciting in Japan is the constant stream of promotions. Japanese consumers often treat these events like mini holidays, planning big purchases to match promotion days. The campaigns are usually gamified like “stamp rallies” where collecting digital stamps across partner stores unlocks extra points. It’s not just about saving, it’s about the thrill of chasing the deal. This playful approach keeps loyalty systems fresh and prevents customers getting bored of them.

5. Cross-Industry Ecosystems

What sets Japan apart is how connected loyalty programs have become. Instead of being limited to one store or chain, many systems now span across industries. This ecosystem model makes loyalty programs much more sticky. For businesses, this strategy doesn’t just keep customers coming back, it ties them into a long-term relationship where loyalty points are the “glue” holding everything together.

6. Mobile Apps and Gamification

Japanese loyalty programs have taken full advantage of gamification. For example, PayPay adds lottery-style raffles where every transaction is a chance to win bonus points. Some apps even push eco-friendly missions like bringing your own bag to a store that grants loyalty points rewards for sustainable behavior. This playful style has turned point collection into something closer to a hobby than a financial tool.

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Interesting Stories from the Poikatsu Subculture

In Japan, collecting points is not just a financial habit but it’s a hobby, and for some, even a lifestyle. This has given rise to a colorful online subculture, where people swap tips, track campaigns, and share their point-hunting adventures.

There is a huge Japanese influencer called Chuken. On Twitter, he shares strategies on how to maximize loyalty points and proudly calls himself a “point star” He claims to earn over 1 million yen (around $10,000) worth of points a year enough to cover bills, vacations, and even beauty treatments. For him, points are not pocket change, they are a second income stream.

Then there’s Sekko, a single mother who has turned poikatsu into both a money-saving tool and an online persona. Her audience, mainly parents, follows her for hacks like redeeming enough points to get a year-long Disneyland pass for her child. She’s even appeared on national TV shows, proving that loyalty programs in Japan are big enough to push ordinary people into the spotlight.

On YouTube, Ryogakucho has built a following of more than 600,000 subscribers by teaching point-hacking in step-by-step videos. His tutorials cover everything from Rakuten’s Super Point Up system to time-limited campaigns, often delivered with a cartoon mascot cheering along. For many viewers, his channel turns what could be dry financial advice into something closer to entertainment.

While others poikatsu youtubers post daily point-tracking charts, mapping which payment apps or cards are offering the best deals. Fans treat this like checking stock market updates except the currency is loyalty points instead of shares.

Conclusion

The history of loyalty point culture in Japan reveals more than just how rewards have changed over time, it shows how deeply poikasu culture is in consumers’ minds. From stamps and coupons to digital wallets and online platforms, the tools may look different, but the love for points has never faded. For many Japanese consumers, collecting points is not only about saving money, it’s about the fun, creativity, and community that come with it.

And the story doesn’t end here. In the next article, we’ll look at the power of Japan’s major point networks and the rise of custom programs led by retailers and luxury brands, exploring how these systems are shaping the future of loyalty and what businesses worldwide can learn from them.

📩 Read more articles about us here: https://www.supremetech.vn/blog/ 

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          How to Step Out of the “Forwarder” Shadow?

          Have you ever, as a Comtor or Business Analyst (BA), felt like… a messenger? Every time the client asks something, you turn to the team, copy their answer, translate it, and send it back — just passing messages instead of actually owning the conversation. At SupremeTech, our BA team jokingly calls this role the “Professional Forwarder.” Through many “lost in translation” moments, we’ve learned valuable lessons on how to step out of that shadow — to become real connectors between the client and the team. Let’s hear from our BA team as they share practical tips to help you move beyond being a “forwarder” drawn directly from real project experience. Signs You Might Be Forwarding Too Much 1. The classic line: “Let me check with the team.”It’s not wrong — but if you’re saying it too often, it might mean you don’t fully understand the issue. 2. Lack of confidence in meetings: Many new BAs struggle with open-ended questions. When you don’t fully understand the product, you can’t confidently answer questions from both the client and your internal team. The PM asks about progress, you look at the Sprint Backlog full of numbers — and still don’t know where to start. 3. Avoiding technical talk: The moment you hear technical terms, you “pass the ball” to the PTL — without really understanding what’s being discussed. 3 Steps to Escape the “Forwarder Manager” Role So, how can you move from being a Forwarder to becoming a true communicator — someone who understands, connects, and leads discussions effectively? Here are three simple but powerful steps you can start practicing right away: 1. Before Forwarding, Ask Yourself: Do I understand at least 70% of this content?Have I tried to reproduce the bug, test the feature in the DEV environment, or explore the possible cause myself?If I were the dev/tester receiving this message, would I have enough context to understand it?Can I classify the issue — is it about UI/UX, logic, data, or business flow?Can I try to answer part of it first, then confirm later? 👉 This habit helps you learn something new every day, instead of just finishing tasks every day. 2. In Every Meeting – Observe and Lead What is the team really discussing? Do I understand the big picture?If the conversation is technical, how does it relate to the overall context?Is anyone confused? Can I help clarify? If you find yourself unsure about all three — take notes, take notes, and take notes.Meeting minutes and your own notes will help you retain details and follow up later for deeper understanding. 3. Build Strong Foundations Whether you’re a Comtor, BA, or PO, a solid foundation in product knowledge, business logic, and basic technical understanding helps you make better decisions — and lead your team effectively. Don’t get stuck thinking “that’s not my task.” Instead, learn actively by: Reading about technical keywords used in your project.Redrawing the business flow yourself to truly understand it.Asking devs, QCs, PTLs, and clients for their perspectives.Finding a technical advisor who can review your understanding and answer your tech-related questions. Every time you’re about to forward a message, pause for a minute — dig a little deeper.Each pause adds to your knowledge and analytical mindset. These small daily efforts will sharpen your skills and confidence — helping you grow not only as a professional BA, but also as a potential Project Leader who truly adds value to the team.

          31/10/2025

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          BA Team

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          How to Step Out of the “Forwarder” Shadow?

          31/10/2025

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          Team Người Việc: Winning with AI-Assisted Development at SupremeTech

          AI

          AI-assisted development

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            How Team Người Việc Won SupremeTech’s AI Hackathon 2025 with AI-Assisted Development and Agile Thinking

            24 hours. 10 teams. Countless lines of code. One team claimed the spotlight and took half of the 100 million VND prize pool. SupremeTech’s first-ever AI Hackathon was more than just a competition, it was a test of endurance, creativity, and teamwork. For one intense day and night, our participants pushed the limits of AI-assisted development, turning raw ideas into functioning prototypes under extreme time pressure. Among them, three teams rose above the rest. Their solutions not only showcased strong technical execution but also revealed how AI hackathon use cases can bring real business value in areas such as customer experience, automation, and data-driven decision-making. These top three use cases highlight the future potential of AI and the passion of SupremeTech’s people to turn vision into reality. Brought home the Top Prize - Team Người Việc stood out for their sharp strategy and teamwork. Their winning project solved a familiar yet complex issue in the tourism industry: managing group travel efficiently while ensuring every participant enjoys a seamless experience. Presented in clear business logic, executed with agile methodology, and powered by AI-assisted development, their solution proved that innovation thrives when technology meets human insight. Introducing the Team: Small but Strong Team Người Việc brought together a crew of four: Hung Dinh, Huy Nguyen, and Dung Nguyen as front-end engineers, and Khanh Nguyen as the business analyst. While other teams had five members, this smaller team turned their size into strength. With Khanh shaping the business logic and user journey, and the three engineers transforming those ideas into a functional product, they created a strong link between business insight and technical execution. Each member brought a distinct perspective: one focused on monetization and business value, another on operational flow, and others on technical quality and user experience. Together, they created a strong team that has both business insight and technical execution. Khanh shared that: “Everyone respected each other’s opinions. We weren’t chasing perfection, we were building something real, something that worked”. The Challenge: Turning Hot and Heavy Topic into Opportunity When the AI Hackathon began, the participating teams didn’t get to choose their challenge. Each team drew a topic randomly from a pool of three, and fate handed team Người Việc a challenge that was both broad and complex: Destination and Experience Management System for Tourism. Instead of seeing it as an obstacle, the team saw great potential in this topic: “It’s actually very close to what SupremeTech does,” one member shared. “Tourism and service coordination are among the industries where our clients face similar pain points. If developed further, this could even become a real product for the company”. For most teams, tackling something this wide in just 24 hours would be overwhelming. But for Người Việc, it became the perfect opportunity to combine business logic, agile thinking, and AI-assisted development into a single solution. Dũng, one of the front-end engineers shared: “We didn’t see it as just a travel problem. It’s a coordination problem that every company faces because of too many people, too little time, and too many things to track.” The Idea: Transforming Tourism Coordination with AI Manual planning and coordination often create time-consuming processes, lack of feedback, and fragmented communication across travel agencies, corporate HR departments, and trip participants. To solve this, Người Việc envisioned an end-to-end platform that connects all stakeholders, from travel agencies and corporate planners to event organizers and trip participants.The system enables users to: Create and customize travel itinerariesConnect directly with travel agencies through a marketplace modelTrack schedules via QR codeProvide instant feedback during the trip. In short, it bridges the gap between demand and supply in hospitality, creating a more transparent, interactive, and seamless travel experience. The Process: From Brainstorming to AI-Assisted Development What set Người Việc apart was their strategic mindset before touching a single line of code. Instead of rushing to use AI tools right-away, the team began with a face-to-face brainstorming session, mapping out what a real group trip looks like from start to finish: from planning and agency communication to real-time updates and user feedback. To validate their ideas, they even called friends working in hospitality to understand pain points from the field such as: how agencies handle client requests, where information gets lost, and what travelers actually expect. Only after this discovery phase, the team moved into design and development. They first created clear user stories and workflows on their own, then applied story-based prompting by feeding those stories into ChatGPT and Copilot to generate database schemas, API endpoints, and code snippets. This structured use of AI helped them align technical output with business logic and speed up development. Their approach became a model of how AI-assisted development and agile methodology can complement each other, keeping logic clear while boosting speed. Their mantra throughout the process was simple yet powerful: Think first, then use AI smartly. This mindset kept their workflow focused, turning AI into a productivity multiplier instead of a shortcut, and became a highlight in their AI hackathon journey.Without a QC member, the team stayed flexible and shared responsibilities across roles. Each member could take on multiple tasks when needed, but they still kept a clear structure in how they worked. The PTL and BA stepped in as real users, testing features and giving feedback from a user’s point of view. After defining their user roles and business logic, Team Người Việc translated their ideas into a working prototype. Their platform acts as a bridge between corporate planners and travel agencies, creating a space where requests, itineraries, and feedback flow seamlessly in real time. The system’s core features included: Trip creation and customization: HR or operation teams can build itineraries, adjust timelines, and submit requests tailored to their needs.Agency collaboration: Travel agencies receive those requests, update details, and negotiate directly through the platform, no more back-and-forth emails or lost messages.Participant tracking: Each trip generates a public QR code, allowing members to follow updates, view schedules, and send instant feedback during the journey.Transparency and engagement: The platform closes the communication loop, giving every stakeholder a clearer view of the process. With these key flows completed, the team delivered a functional MVP, a product with clean logic, smooth handoffs between roles, and enough structure to be reused or scaled for other industries. Modern Tech Stack Built for AI-Driven Innovation To bring their concept to life within 24 hours, Team Người Việc designed a tech stack that was modern, lightweight, and AI-friendly. Every layer from frontend to deployment was chosen to balance speed, scalability, and maintainability. Frontend Layer: Fast and Built for Clarity The team developed the user interface using Next.js 15 to handle both page rendering and API routes. Combined with TypeScript, it provided type safety and consistency across all modules, reducing human errors in the rush of development. For styling and components, they used Tailwind CSS and shadcn/ui, which allowed them to quickly create a clean, responsive design without spending time reinventing basic UI elements. Despite the tight schedule, the frontend still delivered a cohesive experience from trip creation to QR-based tracking, proving that with the right stack, agility doesn’t mean sacrificing structure. Backend Layer: Structured Logic and Data Flow Behind the interface, the team used Prisma ORM to manage the database layer. Its schema-first approach, paired with TypeScript integration, helped them maintain data consistency while iterating rapidly. The backend services were also written in Next.js, utilizing server functions to keep everything unified and easy to deploy. This setup gave the team clear control over their data models and allowed them to focus on the business logic, ensuring that trip creation, feedback collection, and participant interactions all flowed smoothly without manual handling. Infrastructure & Deployment: Stability under Pressure To keep their development-to-demo pipeline fast and reliable, Người Việc deployed their system on AWS using Dokploy - a self-hosted CI/CD solution that automates Docker-based deployments. This environment allowed them to push code, test changes, and release updates seamlessly without dependency conflicts. By using Docker containers, they replicated production conditions from the start, ensuring that the MVP remained stable and demo-ready throughout the hackathon. The setup was simple enough for rapid iteration yet robust enough to be scaled for real client use. AI Tools: A Smarter, Not Faster, Way to Build AI played a key role in the team’s workflow but only after the foundation was set.ChatGPT acted as their assistant for ideation and logic design, helping refine user stories, define acceptance criteria, and clarify user flows. Meanwhile, GitHub Copilot served as their pair programmer, generating clean snippets, suggesting improvements, and handling repetitive coding tasks. Instead of using AI as a shortcut, Người Việc used it as an accelerator by integrating it at the right moments to enhance productivity while keeping control of direction and logic. >>> Read more related articles: AI-Assisted Ecommerce Solution Wins Third Place at SupremeTech AI Hackathon 2025How Human Intelligence and AI Capabilities Can Redefine Software Development | Featuring The 1st Runner-Up of SupremeTech AI Hackathon 2025 Judges’ Feedbacks Business Perspective From a business perspective, the judges saw Team Người Việc as a perfect example of practicality and vision. Their solution showed how AI-driven development can address real client needs, especially in industries like travel and hospitality. However, the judges also provided constructive feedback for future improvement. While the idea covered a broad scope from sales to operations, they suggested narrowing the focus to one specific stage in the travel management cycle. By doing so, the solution could achieve higher feasibility and faster adoption in real-world scenarios. The judges also encouraged documenting the team’s AI-assisted project management workflow as a reference for future AI hackathon journeys within SupremeTech. The final presentation showcased all the best qualities of their teamwork. The judges highlighted Người Việc’s clear storytelling, strong time management, and smooth demo delivery that effectively illustrated how their system worked. The team’s confident, structured presentation left a lasting impression and perfectly captured the spirit of SupremeTech’s AI Hackathon. Technical and Engineering Perspective From a technical point of view, the judges recognized Người Việc as a team that combined strong engineering skill with thoughtful use of modern tools. They developed their product on a well-defined code base with clear development standards, following a structured flow from analysis and design to implementation, which is remarkable under the time pressure of a 24-hour hackathon. The highlight of their approach was the story-based prompting technique, which kept the project’s logic coherent from start to finish. By crafting prompts around user stories rather than isolated tasks, the team ensured that every AI-generated piece of code served a real business purpose. This balance between automation and human reasoning became one of the defining features of their success. Teamwork: Staying Calm When Things Went Wrong No hackathon story is complete without chaos and Người Việc had their moment too. Just before the final presentation, disaster happened: the team’s slide suddenly became inaccessible because their shared drive was locked by the judges. With only minutes left, they borrowed a laptop, rebuilt the slides from scratch, and walked onto the stage calm and composed delivering a confident demo that looked effortless to the audience. The team recalled “After 22 hours of coding, what stayed with us wasn’t exhaustion. It was that moment when everyone looked at each other and said: We'll make it work, no matter what.” Voices from the Winners For Team Người Việc, winning the hackathon was not just about the prize, it was about learning how humans and AI can truly collaborate. Reflecting on the experience, Dũng shared: “We realized that AI isn’t just a tool, it’s a real teammate, if you know how to ‘talk’ to it. Each team used AI differently: some for brainstorming, some for UI design, others for presentation. But the prompts we gave were never the same, and that’s why the results were so different. AI only shows its real power when people know how to guide it.” As winners, the team also offered advice for those who will join future hackathons: “Prepare everything you can beforehand: boilerplate code, deployment setup, tools, and your fighting spirit. Once the event starts, every minute counts. And above all, trust your team” Conclusion Team Người Việc proved that real innovation is not only about technology, but about people working together with purpose. By combining business insight, teamwork, and the smart use of AI, they turned a difficult 24-hour challenge into a real achievement. For SupremeTech, this victory is more than just a competition result. It’s a reminder that the future of development starts with clear thinking, strong teamwork, and the courage to explore new ways of building with AI. Appendix: 1. How the Team Applied AI Throughout the Project StageApproachAI Application/ Tools UsedAnalysis & DesignThe whole team brainstormed together, role-playing as real users to map out workflows and features.No AI used — this was the most human-driven stage focused on critical thinking.User Story writingConverted rough ideas into logical workflows, defined goals, and acceptance criteria.ChatGPT acted as a virtual BA, turning brainstorm notes into professional User Stories and Acceptance Criteria.Coding (User Story Based)Developers implemented each User Story while communicating directly with the AI assistant for suggestions and refactoring.GitHub Copilot served as a coding partner, reading stories, suggesting code, refining syntax, and accelerating implementation.Testing & ReleaseThe PTL and BA acted as real users to test the product, identify bugs, and refine the UX before release.No AI used — manual testing for real-user validation. 2. Team Tech Stack LayerTech StackFrontend & Backend (Fullstack)Next.js 15 (App Router)UI Libraryshadcn/ui + TailwindCSSAI AssistantChatGPT + GitHub CopilotInfra / DeployAWS + Dokploy 📩 Read more articles about us here: SupremeTech’s Blog

            22/10/2025

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            AI

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            How Team Người Việc Won SupremeTech’s AI Hackathon 2025 with AI-Assisted Development and Agile Thinking

            22/10/2025

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            Quy Huynh

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