Marketing trends for 2026: AI, social & privacy-first

Caeleigh MacNeil contributor headshotCaeleigh MacNeil
December 14th, 2025
8 min read
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Explore the top marketing trends shaping 2026, from AI-powered automation and agentic AI to social commerce and micro-communities. Learn how to improve customer experience, build authentic brand connections, and measure success in a privacy-first world.Get the insights
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If you’re in marketing, you have to be comfortable with change.”
Remberto del Real, CMO at DeVry University

From newspaper ads to artificial intelligence, marketing trends come and go as technology and consumer preferences change. That means marketing leaders can't always rely on tried-and-true best practices. Instead, anticipating future trends is essential to maintain your edge and develop effective marketing strategies.

In this article, you'll discover the top marketing trends and strategies shaping 2026, including:

  • How AI is transforming marketing operations

  • Why customer experience matters more than ever

  • How social media is evolving with new commerce capabilities

  • What it takes to build authentic brand connections in an AI-driven world

Discover the latest trends in strategic marketing collaboration

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Marketing at scale with AI

AI is the most significant marketing trend of 2026, with the vast majority of marketers now using it in their daily work. From automating repetitive tasks to predicting customer behavior, AI helps marketing teams drive revenue and bring strategies to market faster than ever before.

1. Trendspotting and data analysis

According to research from Work Innovation Lab, 30% of employees are already using AI for data analysis, and twice that number (62%) want to use AI for that purpose. AI-driven data models, algorithms, and machine learning can help marketers make data-driven decisions to better understand their target audience, allowing businesses to:

  • Optimize spending and marketing efforts with smarter, more targeted advertisements.

  • Make better plans with accurate trend spotting and predictions.

  • Get a better understanding of buyer behavior.

  • Increase customer retention and loyalty by serving targeted content to the right people.

2. Streamlining day-to-day marketing tasks

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You can apply automations that help you deal with less drudgery, and help you be more productive.”
Sarah Franklin, President and Chairwoman, former CMO at Salesforce

One of the biggest benefits of AI is that it can help marketers move faster by automating routine work. According to research from Work Innovation Lab, 25% of employees already use AI for administrative tasks, and more than double (57%) want to use AI for that purpose. Marketers are eager to take advantage of new AI technology to focus on more creative, revenue-driving work.

AI productivity improvements are likely to include:

  • Automations that help marketing teams instantly kick off, assign, and hand off work.

  • Virtual assistants that help craft messages, draft status reports, and synthesize marketing campaign information.

  • Improvements to generative AI tools (like ChatGPT) that help marketers draft content, create images and videos, and more.

Building AI tools into your marketing tech stack is essential to take advantage of these opportunities. It's also important to invest in training to overcome AI fears and help marketers use AI technology safely.

3. AI-driven customer interactions and conversational marketing

Conversational marketing uses targeted messaging and AI automation to engage customers in real time. This digital marketing trend employs intelligent chatbots powered by machine learning and natural language processing (NLP), enabling customers to have a two-way conversation with a brand.

AI-powered chatbots and virtual assistants are changing the nature of customer service, and many modern consumers are no longer willing to wait patiently for solutions. To keep up with customer demand, many businesses are turning toward AI-driven conversational marketing to increase customer satisfaction and drive conversions.

4. Agentic AI and AI shopping agents

Agentic AI represents the next evolution beyond chatbots and content generation. These autonomous systems can research products, compare options, and even make purchases on behalf of users, fundamentally changing how consumers discover and buy.

AI shopping agents are changing the customer journey in several ways:

  • Consumers may increasingly rely on AI assistants to research, compare, and recommend products without visiting brand websites directly.

  • Brands need to optimize their digital presence for AI discovery, not just human search.

  • Product information, reviews, and specifications must be structured so that AI agents can easily parse and evaluate them.

  • Trust signals and brand reputation become even more critical when AI systems are making recommendations.

To prepare for this shift, marketers should ensure their product data is comprehensive, accurate, and accessible across platforms where AI agents gather information.

5. New targeting solutions

The phase-out of third-party cookies has accelerated, pushing brands to develop first-party data strategies for personalized marketing. Here's how the approach is shifting:

Third-party cookies (old approach)

First-party data (new approach)

Tracks users across external websites

Collects data from your own channels

Relies on browser tracking

Uses voluntary customer information

Decreasing availability

Privacy-compliant and sustainable

Limited control over data quality

Higher accuracy and trust

Effective first-party data strategies include:

  • Creating valuable content and experiences that encourage users to share their information willingly.

  • Building customer data platforms that unify information across touchpoints.

  • Using AI modeling to predict and understand buyer behavior with less direct tracking data.

  • Developing contextual targeting approaches that don't rely on personal data.

Improving customer experience

Customer experience is a top priority for marketers in 2026. 80% of customers say the experience a company provides is as important as its products or services.

6. Hyper-personalization

Ninety percent of consumers say they find personalized marketing appealing. Thanks to big data and analytics, today's customers expect a personalized experience across all touchpoints, including brand websites, emails, apps, social media platforms, and even physical stores. As a result, brands are leveraging ever-improving machine learning algorithms to create targeted content, product recommendations, and advertisements tailored to individual consumers.

7. Improved user experience across devices

User experience, or UX, refers to how a person feels when interacting with a system. Good UX design provides a positive experience that fulfills a user's needs and keeps them loyal to the product or brand.

Your website (and/or app) is arguably your most valuable marketing asset, and great UX can make all the difference when convincing top-of-funnel consumers to become customers. When designing your site, keep the layout simple, include easy-to-use navigation, and don't overwhelm users with too much information on the main landing pages. You should also optimize your website for mobile, especially since more than half of users worldwide browse the web on their phones.

Some examples of current UX design trends include:

  • Minimalism and "blanding," or websites free of intrusive advertising and pop-ups

  • Voice-activated interfaces

  • Hands-free controls

  • Animated elements to add intrigue

  • Block web design

  • "Scrollytelling," or telling a story as the user scrolls

  • Bold colors

  • Video content

8. Voice search and generative engine optimization

Voice search and AI-powered search tools are changing how consumers find information. Digital assistants now handle everything from simple queries to customized local searches, such as "What coffee shops are open near me?"

To optimize for voice and AI search, businesses are adapting their content strategies:

  • Conversational formatting: Structure content in question-and-answer formats that match how people naturally speak.

  • Intent-based answers: Provide direct, clear responses to specific user questions.

  • Generative engine optimization (GEO): Create content that AI systems can easily understand, cite, and recommend.

  • Structured data: Use schema markup to help AI tools interpret and present your content accurately.

As AI-powered search tools like ChatGPT and Google's AI Overviews become more prevalent, consider how these systems perceive and present your brand, not just how humans find you.

9. VR-based tools and apps

Research suggests that virtual reality (VR) and augmented reality (AR) could deliver a $1.5 trillion boost to the global economy by 2030. This up-and-coming marketing trend enables brands to promote their products or services through VR technology, creating a simulated yet realistic experience.

While many brands have successfully used augmented reality tactics to attract customers, like Sephora's Virtual Artist app and Ikea's VR showroom, few have designed a completely immersive virtual reality experience that would require a VR headset. Virtual try-ons and branded Instagram filters will continue to shape the marketing landscape, but expect even more innovative VR marketing tactics to take center stage this year.

10. Long-term influencer-brand relationships

Influencer marketing modernizes word of mouth for the digital era. By partnering with individuals who have established trust with their audiences, brands can reach consumers through recommendations that feel authentic and personal.

While this form of social media marketing isn't new, it is expanding. Influencer marketing has grown by 29% to become a $21.1 billion industry. It's likely that trend will continue as more brands use influencer marketing to increase brand awareness, build trust, and even set new trends across their target audience.

In 2026, the focus is shifting toward creator authenticity. Audiences are increasingly skeptical of overly polished sponsored content, and brands are finding more success with creators who genuinely use and believe in their products. Long-term partnerships, rather than one-off sponsored posts, help build credibility with audiences.

Read: 7 steps to complete a social media audit (with template)

11. Live streaming and video-based content

Video-based content has become a key focus area in social media marketing because it can capture a viewer's attention longer than static posts. From TikToks to Instagram reels, marketers are using short-form videos to drive engagement and increase brand awareness among millennials and Gen Z.

Live streaming is also proving to be an effective marketing trend. The global live streaming market has grown to $1.49 billion, marking a 20% increase from the previous year. When paired with influencer marketing, live streaming allows potential customers to engage with influencers who are familiar with the product, talk about it, and make a purchase, all while watching the stream.

12. User-generated content

From TikTok trends to #OOTD posts, user-generated content (UGC) is the new word-of-mouth. This type of content is original, brand-specific, and created by consumers rather than brands. Unboxing videos, makeup reviews, branded hashtags, and photo tags are all ways brands can leverage user-generated content.

Because anyone can create user-generated content, adding this tactic to your marketing strategy can enhance your brand's authenticity. Eighty percent of consumers prefer seeing photos of real customers over stock photos, and look at ratings and reviews before making a purchase. That means there's high demand for UGC, and a large opportunity for companies that haven't invested in it already.

An additional benefit of UGC is that it outsources marketing to your customer base. This can be beneficial for teams with restricted budgets, an all too common occurrence, since 36% of marketing budgets were reported to decrease.

13. Social commerce and shoppable content

Social media has evolved from a discovery tool into a complete shopping ecosystem. Platforms like Instagram, TikTok, and Facebook now offer built-in shopping tools, allowing users to browse and purchase without ever leaving the app.

For marketers, social commerce represents an opportunity to meet customers where they already spend their time. Key tactics include:

  • Creating shoppable posts and stories that tag products directly.

  • Using live shopping events to demonstrate products and answer questions in real-time.

  • Optimizing product catalogs for social platform search and discovery.

  • Partnering with creators who can showcase products in authentic, engaging ways.

The most successful social commerce strategies focus on reducing the steps between seeing a product and purchasing it, while maintaining the authentic, engaging content that draws users to social platforms in the first place.

14. Micro-communities and private channels

Massive reach on open social networks is becoming increasingly expensive and less effective. The real conversations have moved to closed spaces: WhatsApp groups, Discord servers, Telegram channels, and broadcast channels. Private community building is now one of the most powerful retention strategies available to marketers.

Micro-communities offer several advantages for marketers:

  • Higher engagement rates compared to public social media posts.

  • More meaningful conversations that build genuine brand loyalty.

  • Direct access to your most engaged customers for feedback and insights.

  • Opportunities to create exclusive content and offers that drive conversions.

To build successful micro-communities, focus on providing genuine value rather than constant promotion. The most effective brand communities feel like spaces where members connect with each other, not just with your company.

Bringing your brand identity into your marketing

As AI technology advances, it's more important than ever to build a trustworthy brand identity that speaks to customers as human beings first. Here's where to focus, according to data.

15. Authenticity, especially with AI

As AI technology evolves, customers increasingly want to trust that companies are still speaking to them as human beings, not leaving every interaction up to AI. In fact, 89% of customers agree that it's important to know when they're communicating with AI or a human, and only 37% trust AI to be as accurate as a human.

This presents an opportunity for marketers to lean into authenticity by incorporating a human-centric approach in their messaging and content, instead of relying purely on generative AI for content creation. It's also important to communicate to customers how your business is using AI responsibly and to double-check work done by AI to ensure you're providing the best possible customer experience.

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You need to consider people first, then AI.”
Doug Zarkin, Chief Brand Officer, Good Feet Worldwide

16. Emphasis on trust and consumer privacy

Eighty-nine percent of consumers say they want more control over their data. That's a very high number, and a big opportunity for marketers to build trust and distinguish themselves from other, less trusted brands. Many reputable companies are developing new systems to ensure customers feel secure when providing their personal information.

Communicating about data security allows customers to sign up for apps, services, emails, demos, white papers, and more without worrying about data leaks or identity theft.

Measuring marketing success in 2026

Measuring marketing success in 2026 requires moving beyond last-click attribution toward holistic measurement strategies. With third-party cookies phasing out and walled gardens limiting data access, marketers need multiple approaches to understand true campaign performance.

Key measurement trends to watch include:

  • Marketing mix modeling (MMM) to understand the impact of different channels on overall performance.

  • First-party data analysis to build more accurate customer profiles.

  • Incrementality testing to measure the true lift of marketing campaigns.

  • AI-powered attribution models that adapt to changing consumer behaviors.

The most effective marketing teams are combining multiple measurement approaches to get a complete picture of their success metrics, rather than relying on any single metric or model.

Today's consumers value authenticity, transparency, and privacy now more than ever before. And as advanced AI technology becomes mainstream, marketers have an opportunity to embed these values in their messaging in new and innovative ways.

The key is to start small and focus on the trends that align with your specific business goals and customer needs. Whether you're exploring agentic AI, building micro-communities, or refining your measurement approach, the most successful teams are those that can adapt quickly while staying true to their brand.

Ready to put these marketing trends into action? Get started with Asana to organize your marketing campaigns, align your team on priorities, and bring your strategies to market faster.

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