Agentic shopping presents ecommerce marketers with a familiar problem in a new form. The promise is simple enough. AI agents act on behalf of shoppers to search, compare, select, and even purchase products. These agents will use a shopper’s preferences (stated and inferred) rather than browsing products from digital shelves.

McKinsey & Company describes it this way: “Companies have spent decades refining consumer journeys, fine-tuning every click, scroll, and tap. But in the era of agentic commerce, the consumer no longer travels alone. Their digital proxies now navigate the commerce ecosystem.”

The moments that matter in 2026, plus the strategies to reach people when intent is highest. Every marketer knows the rhythm of the year: the big moments, the key dates, the campaigns that need to land. The planning cycle never stops. Yet while teams focus on what’s next on the horizon, consumers are already planning much further out: spring celebrations, summer getaways, back-to-school prep.

On Pinterest, seasonal searches—from outfit ideas to party planning to travel essentials—start building momentum months before the season arrives. These aren’t casual scrolls; they’re early signals of intent. People on Pinterest are more than 2x as likely as non-Pinterest users to invest time and effort into preparing for seasonal moments.¹ By the time most campaigns launch, many decisions are already made. The outfit is bought. The party supplies are chosen. The trip is booked.

Uncover lifestyle shifts and purchase drivers in our 2026 consumer trends report with global data and insights to guide your strategic decisions. How do you implement an effective marketing, product or retail strategy without the right consumer insights?  Trick question —you can’t. That’s where our 2026 consumer trends report comes in. Packed with global data and expert intel, you’ll uncover lifestyle shifts and purchase drivers so you can cater to evolving expectations.

AI-driven traffic in the retail industry surged 693% year over year in November and December, according to new data from Adobe. Artificial intelligence proved to be a widely used tool during the 2025 holiday season, with retail, travel, financial services and the tech and software industries experiencing triple-digit growth in AI referral traffic year over year in November and December. While the AI transformation could be observed across multiple industries, retail has felt an especially significant impact from the technology, with generative AI traffic growing 693% YoY, according to Adobe data. 

Agentic AI is transforming marketing, but success requires more than adopting the latest technology. You need a strategic framework to identify the right opportunities, get your organization agentic-ready and implement initiatives effectively.

Agentic AI decoded: A practical guide for marketers gives you that framework. It’s built for marketing professionals who want to harness autonomous AI capabilities strategically and systematically.

The ultimate goal of any influencer marketer is to use creator content to 1) boost brand awareness or 2) generate sales. But which social media platforms are best for each? Which content types? Which deliverables? And in partnership with which influencers? These are the questions we asked over 50 influencer marketers to understand which platforms, creators, content types, and deliverables are getting them the best results. Here’s what we found.

Personalization was meant to make marketing smarter, not slower. But somewhere along the way, it started to drag. By 2026, customers are moving faster than the systems built to serve them. They expect relevance right now, but most marketing personalization strategies still run on overnight data, scattered tools, disconnected channels, and approval cycles that take too long.

The result is a widening gap between what customers experience and what brands deliver.

For years, martech and AI investments delivered only incremental gains. Data remains scattered. Workflows are still manual. Teams still operate in silos. What’s missing isn’t more technology — it’s transformation. This guide reveals how to make that shift — moving from disjointed tools to orchestrated outcomes, static profiles to real-time intelligence, and manual decisions to adaptive AI agents.