The year 2026 has begun, and with it a new wave of marketing trends for 2026 that not only bring technological innovations, but also change the way brands communicate, sell, and grow. Whether it's digital marketing trends for 2026, B2B marketing trends for 2026, or AI marketing trends for 2026, those who respond early can secure decisive competitive advantages. In this article, we look at the most important developments, from AI to social media to sustainability, and show what matters most.
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7 Top Marketing Trends 2026: Zukunft der KI im Marketing
1. Agentic Commerce & AI-Driven Personalization

By 2026, artificial intelligence will evolve from a supporting marketing tool to an operational control system for marketing and commerce. In addition to generative AI for text, images, and videos, so-called AI agents are increasingly being used to independently perform complex tasks—from campaign planning and budget allocation to coordination with inventory levels and demand forecasts.
These systems analyze performance data, product availability, and customer behavior in real time and make autonomous decisions based on this information. This allows advertising budgets to be automatically shifted to products with high inventory levels and a high probability of purchase, campaigns to be paused in the event of supply bottlenecks, or prices to be adjusted dynamically. AI-supported assistants are also increasingly taking over entire process chains in customer service and returns management.
At the same time, AI-driven personalization remains a key success factor. Customer data platforms (CDPs) connect touchpoints across channels so that users receive personalized content, offers, and product recommendations in real time – from emails and website content to social commerce experiences. The difference from the past is that personalization is no longer just communicative, but deeply integrated into operational business processes.
Key findings:
AI agents take over operational marketing and commerce processes
Linking marketing, warehousing, pricing, and support into one system
Real-time optimization of budgets and campaigns based on demand
Personalization becomes part of the entire customer journey, not just the content
AI-powered commerce with Shopify
With the latest Shopify Editions, the platform is increasingly evolving into an integrated AI commerce environment where marketing, content, analytics, and store management converge. Features such as Sidekick support merchants with data-driven decisions, performance analytics, and operational tasks in natural language. At the same time, so-called Agentic Storefronts help make products visible directly in AI chats.
Predictive Audiences also enable the automatic creation of target groups based on purchase probabilities, repurchase risks, or product interests. Advertising campaigns and onsite personalization thus access the same data-driven segments.
Another key trend is the dynamic adaptation of shop content via AI-supported theme blocks. Content, product bundles, prices, or delivery options can vary depending on location, device, demand, or customer status. This creates true hyper-localization at the page and product level—without manual segmentation.
The online shop thus becomes an adaptive sales system that continuously adapts to market conditions and user contexts.
Reading tip: Agentic Commerce with Shopify: What you should pay attention to.
2. GEO & User Generated Content (UGC)

Classic SEO based on keywords and rankings will continue to lose importance as a standalone discipline in 2026. Instead, generative engine optimization (GEO) will take center stage—that is, optimization for AI-powered search systems, recommendation algorithms, and assistance systems such as Google SGE or ChatGPT. The goal is no longer just to be found, but to be cited as the primary source in AI responses.
This shifts the focus from pure text content to highly structured, machine-readable data. Product information, availability, prices, reviews, sustainability attributes, and company data must be consistently displayed via structured data formats such as Schema.org, product feeds, and meta objects. Shops that ensure this data quality significantly increase their visibility in generative search results.
User-generated content (UGC) remains relevant, but less as a classic SEO lever and more as a trust signal for AI models and recommendation logic. Reviews, testimonials, and community posts are increasingly used as indicators of relevance and authority in generative search systems.

For online retailers, this means that GEO is no longer purely a content issue, but rather a technical discipline that combines product data, shop structure, feed management, and content strategy. Visibility arises where data, content, and trust are consistently brought together.
Key findings:
Focus on citations in AI responses rather than just rankings
Structured product and company data are becoming central
Schema, feeds, and meta objects as the basis for GEO
UGC strengthens trust and relevance for AI recommendations
SEO is increasingly becoming technical data optimization
Reading tip: From SEO to GEO and AEO: We show you how to optimize your shop for AI in 2026.
3. B2B marketing trends for 2026

In the B2B environment, too, the focus is shifting from pure lead numbers to smart, data-driven processes that deliver real customer value. Manufacturers and service providers are increasingly relying on AI-supported workflows to deeply personalize buyer journeys and achieve measurable results. Companies need to systematically integrate AI into their marketing strategy. This enables continuous campaign optimization, measurement of success based on clear KPIs, and transparent presentation of ROI. Tools such as automated lead scoring systems or personalized offer paths help guide potential customers more efficiently through the entire sales funnel.
Key findings:
Focus on added value: Moving away from pure lead numbers to smart, data-driven processes
Systematic AI: Mandatory integration of AI workflows for hyper-personalization of the B2B buyer journey
Measurable ROI: Commitment to clear KPIs and transparent ROI measurement through continuous optimization
Sales funnel efficiency: Use of automated systems (e.g., lead scoring) for efficient customer guidance
Reading tip: Everything you need to know to set up a B2B store with Shopify.
4. Paid media in the age of AI (automation & social commerce)

Although AI optimization and automation in paid media (PPC, social ads) are taking on more and more control tasks, human monitoring and strategic intervention remain essential. AI is powerful and ensures efficiency, but it does not automatically guarantee the best creative or strategic results. At the same time, the integration of social commerce (direct purchase options on social networks) is becoming increasingly important, which is fundamentally influencing advertising strategies in both paid and owned media.
Key findings:
Strategic AI oversight: Although algorithms take over the execution, human control (monitoring) and strategic management of campaign goals are still necessary.
Focus on social commerce: Paid advertising must seamlessly enable the path to purchase within the platforms (in-app checkout).
Automation vs. creativity: The efficiency of AI must be combined with high-quality, human creative content to stand out in the flood of automated ads.
Data basis: The success of AI systems for paid advertising depends directly on the quality of the first-party data (information collected directly from the user) and zero-party data (preferences actively shared by the user) used to target the audience.
5. Community Commerce & Social Shopping

The retail landscape in 2026 will be shaped by the convergence of community and commerce. Social platforms are increasingly taking over the purchasing process directly on the platform, for example through live shopping or shoppable CTV (connected TV) content. The focus is on genuine authenticity: unedited content and voluntarily provided data (zero-party data) are replacing traditional, highly polished advertising.
While social networks remain important channels for reach and sales, the focus in 2026 will also shift to proprietary, controllable community ecosystems. Brands will specifically guide users away from platforms such as Instagram, TikTok, or YouTube and toward closed channels such as WhatsApp broadcasts, Discord servers, or Shopify-based membership programs.
These so-called owned channels enable direct communication, exclusive offers, and the establishment of long-term customer relationships – independent of algorithm changes or rising advertising costs. At the same time, they provide valuable zero-party data, as users voluntarily share their interests, preferences, and purchase intentions.
Key findings:
Focus on WhatsApp, Discord, and membership models
Social media serves as a gateway to owned ecosystems
Zero-party data becomes a key personalization factor
Community becomes part of the sales and service structure
Platform dependency is actively reduced
6. Privacy-first data, zero-party data, and measurement changes

By 2026, data protection will become a key competitive factor due to the elimination of third-party cookies and stricter regulations. Brands must pursue a privacy-first strategy and prioritize the ethical collection of zero-party data (ZPD) – i.e., information that customers voluntarily share (e.g., via quizzes or loyalty programs). Instead of individual user paths, companies are increasingly relying on predictive measurement models to realistically evaluate marketing success.
A key tool here is media mix modeling (MMM). This method analyzes which marketing measures have what impact on sales, demand, and brand awareness across channels – independently of personal tracking. This is supplemented by conversion modeling, server-side events, and the consolidation of data in customer data platforms (CDPs).
For retailers, this means that performance measurement is becoming more strategic, more statistical, and more focused on business results – rather than on the short-term performance metrics of individual platforms.
Key findings:
Traditional tracking continues to lose importance.
Media mix modeling is becoming a central control tool.
Conversion modeling replaces missing user data.
CDPs bundle marketing, shop, and CRM data.
ROI evaluation is channel- and impact-based.
7. Digital Product Passports & Sustainability

In 2026, sustainability in marketing will evolve from a purely communications and image issue to a data-driven, regulatory, and sales-relevant requirement. With the introduction of digital product passports (DPP), manufacturers and retailers will in future have to provide detailed information on the origin, materials, production conditions, reparability, and recyclability of their products.
This data will not only be relevant for authorities, but will also increasingly be integrated directly into shop interfaces. Customers expect transparent insights into supply chains and production processes before making a purchase decision. Product pages are thus evolving into trust hubs where sustainability is not only claimed, but proven.
AI systems and recommendation algorithms are increasingly incorporating sustainability data into their rankings and product recommendations. Brands that do not provide verifiable information lose visibility not only in regulatory terms, but also algorithmically. Sustainability is thus becoming part of product data architecture and no longer just a component of campaigns or storytelling.
For e-commerce companies, this means that sustainability strategy, data management, and conversion optimization are converging. Transparency is becoming a measurable competitive advantage.
Key findings:
Digital product passports are becoming standard in product presentation.
Sustainability is becoming technically measurable and verifiable.
Supply chain transparency increases trust and conversion rates.
AI systems take sustainability data into account when making recommendations.
Sustainability is becoming part of the commerce infrastructure.
Social Media Marketing Trends 2026: Predictions for Social Media Marketing
1. Social Commerce & Short-Form Video
Social media marketing in 2026 will follow clear directions: content, community, and shopping experience will be more closely linked. Companies will use live shopping, shoppable posts, or short-form videos with direct purchase options to make products immediately tangible and facilitate purchasing decisions.
2. Authenticity and community building

Social media marketing in 2026 will no longer be just about reach, but about building genuine communities. Brands that actively incorporate content from users and employees, i.e., user-generated content (UGC), not only increase engagement but also become more visible to algorithms.
In practical terms, this means that companies can incorporate customer experiences, product reviews, or creative contributions into social media campaigns, thereby building trust and loyalty. In an age of high automation and AI-supported processes, authenticity is becoming a clear competitive advantage, because only genuine, human content can generate lasting attention and customer loyalty.
3. Hybrid models & omnichannel experiences
Here, too, the trend is toward hybrid: physical and digital touchpoints are increasingly merging. For social media, this means that live events, AR/VR experiences, social streaming from stores, or events make all the difference.
Reading tip: How omnichannel works with Shopify.
Review of trends in 2025
The year 2025 was marked by exciting marketing trends that redefined the interplay between technology, creativity, and user-centricity. AI-powered solutions in particular changed the way brands interact with their target groups—from personalized customer experiences to automated content creation. Marketing trends in 2025 showed that data-driven strategies and generative engine optimization (GEO) became increasingly important for maintaining visibility in a world of voice search and visual results. AEO (answer engine optimization) also became a key success factor as users increasingly sought answers via AI-based assistants and chatbots.
Among the innovative marketing trends of 2025, topics such as sustainability, accessibility, voice commerce, and creator economy strategies were particularly prevalent. Brands that responded early to these developments were able to significantly increase their reach and create new forms of brand loyalty. Looking back, 2025 showed that future-oriented marketing focuses not only on visibility, but also on relevance, trust, and technical excellence—a foundation on which the trends for 2026 will now build.
Conclusion
The marketing trends for 2026 send a clear message: those who combine brand management, technology, and values today are laying the foundation for tomorrow. AI-supported personalization, social commerce, community focus, and sustainability are not optional extras, but central components of successful strategies. Brands that adapt to these trends early on and in a well-considered manner will not only secure competitive advantages—they will also achieve sustainable growth.
We would be happy to support you in optimizing your online store! Contact us without any obligation.
FAQ
What are the most important marketing trends for 2026?
The key marketing trends for 2026 include AI-driven personalization, generative AI, social commerce, user-generated content (UGC), sustainability marketing, and hybrid omnichannel and social media experiences.
What role will AI play in marketing in 2026?
AI marketing trends in 2026 show that AI not only enables automation, but also improves personalized customer journeys, content creation, and data-driven decisions. Companies that use AI strategically can design campaigns more efficiently and measure ROI.
What does social commerce mean for brands?
Social commerce links content, community, and purchasing processes directly on social platforms. Brands use live shopping, shoppable posts, or short videos to bring products to life and seamlessly integrate the purchasing process.
What current marketing trends will influence B2B companies in 2026?
In the B2B sector, B2B marketing trends in 2026 will be characterized by data-driven workflows, buyer enablement, AI-supported lead qualification, and the measurability of ROI. It will be less about mass and more about smart, efficient processes.
How will SEO change in 2026?
SEO is evolving toward AI-driven visibility. Relevance and authenticity count for more than mere keywords. UGC and personalized content will be weighted more heavily, as will the integration of sustainability messages into content strategies.

