Top Marketing Trends to Revive Loyalty in 2025

With a forecasted 25% drop in brand loyalty, you’ll need to think creatively to keep your customers close in 2025. Consumers are becoming more price-conscious due to rising living costs, and this shift in behaviour is affecting even the most established brands.

As shoppers seek better value, they’re more willing to switch brands in search of the best deals. This has led to increased competition, with companies exploring various strategies to retain customers. For instance, some big brands like Apple and Starbucks have started offering discounts to appeal to cost-sensitive consumers.

However, relying solely on discounts might not be the best strategy. While discounts are a popular form of sales promotion, they can sometimes attract customers who are only looking for the lowest price and may not become loyal to your brand. Plus, frequent discounting can erode your profit margins, affect your brand’s perceived value, and reduce customer lifetime value.

So, what’s a better approach to enhancing customer loyalty without compromising your brand’s value? Diversifying your sales promotions! By incorporating other types of promotions—like value-added offers, exclusive deals, or experiential rewards—you can maintain your price point and brand positioning while appealing to your customers’ desires and needs.

If you want to keep your existing customers loyal and attract new ones who will stick around, you might need to step up your promotional strategy next year. Not all sales promotions are created equal. The most effective ones tap into the latest technologies and marketing trends. So, let’s dive into today’s topic and find out what marketing and promotional trends you should keep in mind when fine-tuning your strategy for 2025.

So, what’s on the marketing horizon for the new year? We scoured the internet and the latest industry reports to handpick four B2C marketing trends that could significantly enhance customer loyalty next year. Let’s take a look.

To enhance your personalisation strategy, focus on integrating data from various sources—purchase history, browsing behavior, and customer interactions—to build comprehensive customer profiles. Leveraging AI and machine learning can help you analyze this data to deliver real-time, personalised content, offers, and recommendations.

However, effective personalisation isn’t just about technology and data analytics. It’s about delivering value in a way that feels genuine and respectful. Ensure transparency about how you use customer data and provide options for them to control their preferences. Balancing sophisticated personalisation with a strong commitment to privacy will be key to building trust

Automation is taking customer experience and customer service by storm. And according to CX AI solutions company Servion, we’re at a turning point where customers are actually expecting AI to take the lead. Servion predicts that by 2025, AI will run 95% of all customer chats and calls, and it will be so smooth that customers won’t even realise they’re chatting with a bot.

But AI isn’t just about chatbots and automated responses—it’s also enabling more immersive and interactive experiences. Consumers are showing increasing interest in advanced technologies like virtual reality (VR), augmented reality (AR), and holograms, which can elevate the customer experience to new heights. For example, AR can allow customers to virtually try on products or see how furniture looks in their home, while VR can offer immersive brand experiences that deepen engagement.

So, if you’re not yet leveraging AI and related technologies to make customer experiences more interactive and engaging, now is the time to start thinking about it.

Social media is the new shop window. It has become a virtual shopping centre where people not only discover products and find inspiration but can also buy directly on the spot. With platforms like Instagram and TikTok offering users the option to buy right from the app, selling on social media is rapidly expanding.

Let’s look at some stats to get a clearer idea of their power:

• 76% of consumers purchased a product they saw on social
• 47% of US consumers have bought something via social media, and 58% are interested in doing so.
• 87% of Brands selling on social confirm it’s an effective sales channel
• 87% of Brands say UGC increases sales, and 92% say it increases brand awareness

So, if social media is where your customers buy and spend their time, that’s where your campaigns should be, too. And one of the best ways to boost engagement, build community, and foster loyalty on social media is through user-generated content. It turns customers into brand advocates, resonating more deeply with your audience.

Selling top-notch products is no longer enough to keep customers loyal and engaged. As shoppers care more than ever about the environment and social issues, they want to see their favourite brands doing the same. In 2025, you’ll need to show—not just tell—that you actively support the well-being of the planet and the community.

From creating products to crafting your message, everything counts. Be clear and transparent about where your products’ materials come from, opt for eco-friendly packaging, and run campaigns that spotlight your commitment to making a difference. Customers will notice—and they’ll be more likely to stick around.

Now that we’ve explored what trends will drive loyalty next year let’s see which sales promotions mechanics and add-ons you can use to leverage them in your campaigns.

Just like any other marketing field, sales promotions are constantly evolving.  At Benamic, we stay on top of these innovations to ensure that our clients’ promotions remain fresh, impactful, and ahead of the curve. Thanks to new tech developments, the promotional landscape offers countless options—from gamified add-ons to personalised customer journeys—giving you the flexibility to customise your campaigns to match your brand’s goals and your customers’ preferences.

Let’s explore some of the key mechanics and enhancement features that can keep your customers coming back and attract new ones to your brand.

These days, customers expect experiences tailored just for them. When your promotions speak directly to their preferences and behaviours, you’re more likely to grab their attention and encourage engagement. But here’s the catch: many marketers struggle with personalisation because their promotion and loyalty data aren’t linked up.

In fact, 78% of US B2C marketing execs say that disconnected data is a major hurdle in understanding what customers really want. Sound familiar? If so, making it a priority to connect your promotion and loyalty data should be on your 2025 to-do list. By bringing these data streams together, you’ll get a complete picture of your customers, making it easier to craft targeted, personalized campaigns that hit the mark.

But let’s be real—it’s not a simple task. Integrating these datasets can be complex and requires careful planning. Here’s how you can tackle it:

• Map Out Your Data Sources: Start by identifying where your promotion and loyalty data are stored and how they’re currently used. This will give you a clearer idea of what needs to be connected.
• Collaborate Across Teams: Bring together folks from marketing, IT, and customer service. Getting everyone on the same page early on can help smooth out the process.
• Set Clear Goals: Define what you want to achieve with this integration. Whether it’s better customer segmentation, more personalized offers, or enhanced loyalty programs, knowing your goals will guide your efforts.
• Explore Integration Options: If you handle promotions internally, your tech team might develop custom solutions to link the data. If you’re working with a promotion management company, they should be able to help you seamlessly integrate their systems with your existing tech stack.

At Benamic, we get how challenging this can be. That’s why we offer end-to-end promotional solutions and can integrate our promotion systems with your tech setup if needed. This means you won’t have to juggle working multiple datasets separately and manually.