A loyalty program? Almost everyone has one these days. Earning points, redeeming rewards, getting discounts—your customers are already familiar with these mechanics from twenty other apps. And something that’s easy to copy isn’t going to keep anyone loyal.
That’s exactly why it’s worth taking a look right now at the trends in customer loyalty. After all, artificial intelligence is now making an impact on both sides of the register: in your CRM system and in your customers’ purchasing behavior. So if you’re planning for 2027, you should ask yourself honestly: What will keep people loyal to my brand in the future?
We've compiled the most important developments for 2026 and 2027. What's changing, what does that mean for your program, and what specific steps can you take starting tomorrow?
An Overview of the Top Loyalty Trends for 2026/27
| Trend | What's Changing | Your Next Step |
|---|---|---|
| 1. Emotional Bond | Discounts alone are no longer enough. Recognition and experience make all the difference. | Introduce a reward system that has nothing to do with percentages. |
| 2. AI in Everyday Life | Personalization and timing are automated rather than done manually. | Select a single use case and measure it accurately. |
| 3. Agentic Commerce | AI assistants make purchases on their own and ignore loyalty benefits in the process. | Check whether your benefit is tied to your account and not to the channel. |
| 4. First-Party Data | Third-party data is being phased out, while first-party data obtained with consent is becoming increasingly important. | Streamline the registration process and ensure that consents are properly documented. |
| 5. Paid Levels | The number of premium memberships is growing, though at a slower pace in the DACH region. | Do the math first, then test it: The investment has to be clearly worthwhile. |
| 6. Partner Ecosystems | Individual programs are grouped into regional partner programs. | Target two to three partners with the same target audience. |
| 7. Play and Experience | Simple scoreboards are being replaced by game mechanics and experiences. | Test one strategy per quarter, not five at once. |
| 8. Immediate Benefits | Eliminate time-consuming collection processes and gain quick advantages—the combination of the two is the most powerful lever. | Make the first bonus achievable within four to six weeks. |
| 9. Sustainability | While approval ratings are high, price remains the deciding factor in everyday life. | Combine sustainable rewards with real-life benefits. |
Trend 1: Emotional connection trumps the logic of discounts alone
Points are easily copied. If a competitor adds two percent, your lead is gone. That’s exactly why the focus is shifting noticeably right now: away from the transaction itself, toward the relationship.
Surveys conducted by Deloitte reveal just how ambivalent this behavior is. About 72 percent of respondents say that a loyalty program increases their willingness to spend. In reality, however, only 56 percent actually spend more. At the same time, four out of ten consumers are extremely price-conscious. Discounts therefore remain important, but are no longer sufficient as the sole reason for purchasing.
The term „emotional connection” sounds abstract, but it’s very tangible in everyday life. It arises when people feel recognized. A personalized greeting on the anniversary of their sign-up often has a greater impact than a five percent discount. The key is that the two go hand in hand. The financial incentive provides the occasion; the personal gesture creates the memory.
| Characteristic | Transactional Bonding | Emotional bonding |
|---|---|---|
| Trigger | Price, Discount, Points Balance | Recognition, Experience, Belonging |
| Effect | Short-term, immediately measurable | In the medium term, more stable despite price pressures |
| Reproducibility | Very high | Low, because it's tied to your brand |
| Typical measure | Percentage Coupon | Surprise Bonus, Early Access, Invitation |
| Risk | Discount Habituation, Declining Margins | It doesn't matter what you do if the fundamentals aren't right |
| Appropriate metric | Redemption rate, revenue per share | Repurchase Rate, Recommendation Rate, Frequency |
Trend 2: Artificial intelligence is becoming a tool of the trade
Artificial intelligence has made its way into loyalty marketing. While it doesn't write strategies, it does take care of the tedious work for you. For example, it can create segments, determine optimal mailing times, suggest different text variations, and detect churn early on.
Expectations are particularly high among younger target groups. According to Deloitte, 62 percent of Gen Z and 64 percent of Millennials would activate hyper-personalized settings to receive better benefits. This is both an invitation and an obligation. Those who receive data must also give something in return.
Yet there is still a gap in the retail sector of German-speaking countries. In a survey conducted by the EHI Retail Institute, 92.4 percent of the retail companies surveyed considered the use of AI to increase customer loyalty to be worthwhile. However, only 19.8 percent were actually using it at that time. It is precisely this gap that will give those who get an early start a competitive edge in 2027.
| Use Case | What AI Takes Over | What you'll need | What You Should Keep in Mind |
|---|---|---|---|
| Recognizing Employee Turnover | Evaluates purchase intervals and activity; reports risk cases | Purchase history covering at least six months | Always test with a control group |
| Personalized Offers | Select the premium and product for each person | Well-maintained product categories | Set an upper limit for discounts |
| Broadcast Time | Finds the best time for each person | Open and Click Data | Technically prevent overnight shipping |
| Suggested text | Provides variations for push notifications and email | Clear Brand Guidelines | Human approval remains mandatory |
| Campaign Planning | Suggests occasions and frequency | Annual Plan and Product Line Knowledge | Add regional holidays yourself |
Trend 3: Agentic Commerce – when assistants shop on behalf of your customers
With „Agentic Commerce,“ an AI assistant handles purchases largely on its own. The user specifies a goal, and the assistant compares offers, makes a selection, and completes the purchase. This may sound like something from the distant future, but it’s already changing the game.
The reason is simple: An assistant optimizes based on price, availability, and convenience. However, it cannot see your status level, your points, or your attractive campaign unless this information is stored in your customer account in a machine-readable format. According to Gartner, around 60 percent of brands will be using AI agents for personalized interactions by 2028. This is a forecast, not a measured value—but it’s still useful as a planning horizon.
Smaller businesses have no reason to panic. It’s really a matter for your system provider. Can a customer account be linked securely? Are there benefits available through an interface? Are purchases recognized even when they’re received through a different channel?
Trend 4: First-party data is becoming the most important asset
First-party data is data that you collect yourself, with the consent of the individuals concerned. Zero-party data goes one step further: the individual consciously provides it to you, for example, in a short survey about their favorite products. Both types of data are becoming more valuable as third-party data is increasingly phased out.
A loyalty program is the cleanest channel you can have. People sign up voluntarily, know what they’re getting in return, and can opt out at any time. According to Deloitte, nearly two-thirds of brands already share their loyalty data with advertising platforms or are planning to do so. The benefits are clear, but so are the responsibilities.
In the DACH region, expectations are clear: 62 percent of people in Germany and 55 percent of people in Austria expect personalized offers. At the same time, 84 percent (DE) and 83 percent (AT), respectively, want to receive information at least once a week. So the appetite for data is satisfied when the value in return is right.
| Data Type | Example | What you use them for | Note Regarding the GDPR |
|---|---|---|---|
| Master Data | First Name, Month of Birth, Branch | Welcome, Birthday Promotion, Regional Offers | Charge only for what you actually use |
| Behavioral Data | Purchase History, Visit Frequency | Segments, Early Warning, Premium Logic | Define and document the purpose in advance |
| Data provided by the user | Favorite Product, Diet | Products closely aligned with our product line—no guessing required | Make it clear that participation is voluntary |
| Consents | Push, Email, SMS | Channel selection per person | Cancellation must be just as easy |
Trend 5: Paid Programs and Premium Levels
Paid memberships are one of the most noticeable trends of recent years. The logic behind them is straightforward: Once you’ve paid, you want to get your money’s worth. McKinsey describes exactly this effect. For example, members of paid programs are 60 percent more likely to spend more, compared to about 30 percent for free programs.
Before you start planning a premium tier, it’s worth taking a look at the world map. According to Euromonitor, consumers’ willingness to pay is particularly high in growth markets such as India, the United Arab Emirates, and Brazil. In the DACH region, however, people are significantly more hesitant. A subscription model therefore needs a benefit that can be explained in just a few seconds.
A rule of thumb that has proven effective is this: For an average user, the annual fee should pay for itself within three months. Base your calculations on your actual frequency of visits, not your desired frequency. Test the model with a small group first before offering it to everyone.
Trend 6: Partner Programs and Regional Ecosystems
A single program offers only a limited number of opportunities. It takes several businesses working together to truly reflect everyday life. This is exactly why partner programs, such as hello again, where points can be earned and redeemed at multiple locations, are becoming increasingly popular.
This approach is still far from fully developed. McKinsey has examined how far along leading programs are in this area: Only 18 percent are experience-oriented, 6 percent are considered networked, and just 2 percent are regarded as true ecosystems. So those who get a head start have plenty of room to grow.
The Mühlviertel App from the Mühlviertel Tourism Association in Upper Austria shows exactly how this works. It features 113 partner businesses, including 77 bonus partners and 36 points-collection partners. The approximately 4,000 registered users have collected a total of 61,500 points, which are called „Stoana” on the app. To get started, however, just two or three partner businesses with a similar target audience and a diverse range of products are enough.
Trend 7: Game mechanics and experiences instead of mere scoreboards
Collecting is fun when you can see your progress. That’s why game mechanics are shifting from being optional extras to becoming core features of many programs. Examples include wheels of fortune, challenges, Advent calendars, and collectible passes with visible fields.
The DACH Loyalty Report 2026 shows just how large the target audience is for this. 42 percent in Germany and 38 percent in Austria enjoy or really enjoy using game mechanics. While the topic is no longer a niche one, it’s also not a surefire success. A mechanic only works if the reward is realistically attainable.
A real-world example of this is the Höflinger Müller bakery. There, a digital coffee pass, a wheel of fortune at the point of sale, and an Advent calendar all come together in a single app. When customers use the app, the average receipt total is 1.00 euro higher. That may not sound like much, but it quickly adds up with daily use.
| Mechanics | Effect | Goes especially well with | Effort |
|---|---|---|---|
| Collector's Pass | Builds a routine, makes progress visible | Bakery, Restaurants, Coffee | Low |
| Wheel of Fortune | Generates curiosity at the point of sale | Retail Sales to Walk-in Customers | Low to moderate |
| Challenges | Links multiple visits to a single destination | Tourism, Recreation, Partnerships | Medium |
| Advent Calendar | Provides daily opportunities to open | All Industries During the Holiday Shopping Season | Medium |
| Status Levels | Visibly Rewards Frequent Use | Specialty Retail, Services | Medium to high |
Trend 8: Immediate benefits
This DACH trend stands out particularly for its numbers. In Germany, 80 percent of respondents expect rewards that can be redeemed immediately, while in Austria, 87 percent do. Any program that requires 40 visits before the first reward is awarded risks losing more than half of its participants along the way.
There’s also a second problem: points that no one redeems. According to Deloitte, about 40 percent of respondents forget to claim their rewards. At first glance, this might seem like a good thing because it doesn’t incur any costs. In reality, however, it’s a red flag, because unredeemed points don’t lead to repeat business. On the balance sheet, depending on the model, unused points may even have to be provisioned.
Price pressure is further exacerbating the problem. McKinsey reports that 74 percent of consumers are switching to cheaper alternatives in at least one category. A benefit that doesn’t take effect for another year doesn’t help anyone in this situation.
| Hurdle | How to Spot Them | What helps |
|---|---|---|
| Bonus is too far away | Many sign-ups, few repeat purchases | Make the first bonus achievable within four to six weeks |
| Redemption is too complicated | High point total, low redemption rate | Redeem with just two clicks right at the register |
| Unattractive premium | Points are collected but never used | Offer a selection of options, including an instant bonus |
| No one brings it up | Points expire quietly | Automatic reminder four weeks before expiration |
Trend 9: Sustainability: The Balance Between Ideals and Everyday Life
The topic of „sustainable premiums” is high on many agendas. While surveys consistently show high levels of support, actual behavior is dominated by price and everyday utility. You should factor this gap into your plans.
Rewards that combine both aspects work best. A discount for bringing your own reusable cup saves money and reduces waste. An evening promotion on baked goods cuts down on waste and attracts more customers during a slow period. Collaborating with regional partners has a similar effect, because for many people, local connections are more tangible than an abstract balance sheet.
What These Trends Mean for the DACH Region
Global trends set the stage, but decisions are made locally. The DACH Loyalty Report 2026 was conducted in December 2025 by hello again in collaboration with the Austrian Retail Association. Over 1,000 people in Germany and over 500 in Austria participated in the survey. The results paint a fairly clear picture:
| Expectation | Germany | Austria |
|---|---|---|
| Expect rewards you can redeem right away | 80 % | 87 % |
| Would like to receive information at least once a week | 84 % | 83 % |
| Would switch from a physical map to a digital one | 73 % | 74 % |
| Expect personalized offers | 62 % | 55 % |
| Is willing to go out of their way to close a deal with a program | 55 % | 56 % |
| Has been spending more since using the program | 30 % | 28 % |
| Enjoys or really enjoys using game mechanics | 42 % | 38 % |
Since this figure is often misinterpreted, let’s clarify it once again: The 30 percent and 28 percent figures refer to the percentage of respondents who say they have been spending more since they started using the service. This does not represent a 30 percent increase in revenue.
The picture is similar on the corporate side. According to a survey by the EHI Retail Institute, 65.5 percent of the retailers surveyed already offer a loyalty program, and another 14.5 percent are planning to launch one. The IFH Cologne also notes that around two-thirds of retailers want to increase their investment in customer loyalty, and 82 percent of consumers are registered with at least one program. So the market is saturated. You’ll set yourself apart through relevance, not simply by having a program.
Your Roadmap for 2027 in Six Steps
Of course, tackling all nine of these trends at once doesn't work in reality. It makes much more sense to start with the lever that has an immediate impact. The following six steps can be launched within a quarter.
1. Check for Immediate Benefits
Calculate how many purchases are needed to earn the first reward. If the number exceeds six weeks’ worth of normal purchasing frequency, shorten the path. Add a small instant reward right after sign-up.
2. Clean up the redemption area
Don't just look at the sign-up numbers—check the redemption rate as well. A high point total with a low redemption rate is a red flag. Automatic reminders and a two-step redemption process can help right away.
3. Launch an AI use case
Focus on a single aspect, such as the best time to ship. Compare it against a control group. Only once the result is consistent should you move on to the next scenario.
4. Organize Data and Consents
Remove any fields from the registration form that you don't actively use. Document the purpose and retention period for each type of data. This reduces the abandonment rate and makes it easier to personalize the experience later.
5. Plan for Emotions
Identify three occasions that have nothing to do with discounts. Examples include the anniversary of sign-up, early access, or a surprise after the tenth visit.
6. Determine Connectivity
Ask your service provider if there are any benefits tied to your customer account that can be accessed via an interface. This will help you prepare for purchases that are no longer made through your app.
Conclusion: Relevance beats reach
The market is saturated. 82 percent of consumers are enrolled in at least one loyalty program, and two-thirds of retailers want to invest even more. By 2027, having a loyalty program will no longer be a competitive advantage—it will be a basic requirement.
The difference lies elsewhere. Trends in customer loyalty all point in the same direction: relevance matters more than the size of the discounts. The benefit must be immediately noticeable, available digitally, and understandable within a few seconds. Added to this is an element that can’t be replicated: the feeling of being recognized. Anyone can copy a rewards program, but a program that truly knows its customers—that’s something else entirely.
And the gap between aspiration and implementation is still enormous: 92.4 percent of retailers believe AI is useful, yet only 19.8 percent are using it. That is precisely where the competitive edge will lie in the coming year: not with those who have the largest budgets, but with those who get a head start.
FAQ: Frequently Asked Questions About Loyalty Trends 2026/27
What are the top loyalty trends for 2026/27?
The biggest shifts are occurring in four areas. First, emotional connection is replacing the logic of discounts alone, since percentage discounts can be copied at will. Second, artificial intelligence is becoming an everyday tool for personalization, timing, and early warning. Third, AI assistants that shop independently are changing how visible your benefits are. Fourth, first-party data—that is, data collected with consent—is becoming the most important foundation for relevance. In the DACH region, there is an additional, very specific expectation: the benefit should be immediately redeemable and usable digitally.
What does agentic commerce mean for my loyalty program?
„Agentic Commerce” refers to purchases that an AI assistant handles largely on its own. Such assistants compare prices, availability, and effort. Loyalty benefits are only taken into account if they are stored in the customer’s account and can be accessed technically. For smaller businesses, this isn’t an urgent issue at the moment, but it’s a good question to ask your system provider. If your discount is visible only in your own app, it disappears as soon as someone else makes the selection.
Is a paid loyalty program worthwhile in the DACH region?
It can be worthwhile, but only if a very clear benefit is offered. Internationally, it’s clear that members of paid programs spend significantly more than members of free programs. In the DACH region, however, the willingness to pay is lower than in many emerging markets. Therefore, base your calculations on your actual visit frequency and check whether the membership fee will pay for itself within about three months. It’s best to start with a small test group before rolling out the model on a larger scale.
How much artificial intelligence does a small program need?
Significantly fewer than the headlines might suggest. To start with, a single use case that saves a noticeable amount of time or generates revenue is enough. Good examples include optimal shipping times, suggested text for push notifications, or a simple early warning when purchases aren’t happening. The key is to include a control group. Otherwise, you’ll never know whether the AI made a difference or if it was simply because the weather was better.
How often can I contact my members?
More often than many people think. 84 percent of respondents in Germany and 83 percent in Austria would like to receive information at least once a week. Content is key: A message with a clear benefit is rarely a nuisance, whereas a purely promotional message is. You should let people choose the channel and keep an eye on unsubscriptions as a warning sign.
Does this mean traditional rewards programs are obsolete?
No, they simply change their role. Points are a good incentive for repeat business when the path to the first reward is short. It becomes problematic when the path to earning rewards is long and the rewards are unclear, because then the points just sit there and don’t bring anyone back. So combine the points system with an immediate benefit and a small selection of rewards. That way, the incentive to collect points remains, and no one has to wait a whole year.
How can I tell if my program will still work in 2027?
Take a look at these four metrics: activation rate, redemption rate, repurchase rate, and change in frequency. Always compare the same individuals before and after they join; otherwise, you’ll be comparing groups that shop differently anyway. If sign-ups increase but redemptions stagnate, the problem lies with the rewards structure. If the frequency remains unchanged, the program lacks an incentive for repeat participation.