Publicis Groupe has agreed to acquire data collaboration and identity resolution firm LiveRamp for $2.55 billion in a move aimed to expand the agency holding company’s artificial intelligence offering. The transaction is expected to close by the end of 2026, following the customary regulatory and shareholder approvals. Publicis will operate LiveRamp as an independent company […]

Retail media networks (RMNs) remain defined and confined by Amazon Ads’ runaway growth. RMNs’ cultural constraints limit their upside and frustrate advertisers’ workflows. Commerce media networks (CMNs), comprising first-party, data-rich enterprises other than retailers building high-margin ads businesses, are a different story. They’re qualitatively different from and often more digitally savvy than RMNs. Consequently, they’re poised for growth. Brands and agencies hold the keys to CMNs’ potential and RMNs’ revival. This report explains retail media’s hurdles, commerce media’s capabilities, and how advertisers can affect the changes they want made.

You can use media management services providers to maximize the efficiency and effectiveness of media investments, drive revenue by connecting media impressions to customer transactions, and optimize relevant advertising experiences to influence consumers. But to realize these benefits, you’ll first have to select from a diverse set of providers that balance scale versus precision and balance AI-led activation models versus commoditized execution. Marketing executives should use this report to understand the value they can expect from a media management services provider, learn how providers differ, and investigate options based on size and market focus.

A Love Story Older Than Television The tension between CMOs and advertising agencies didn’t start with AI, procurement, or any media disruption. And history makes one thing clear: Agencies only gain power when CMOs don’t — or can’t — fully exercise theirs. It’s embedded in the very origin of the advertising agency itself. To understand […]

To harness the impact of AI, CMOs must navigate a fundamental tension: They need a clear, growth‑anchored vision while also making room to lead through the uncertainty this disruptive technology creates. Doing so requires CMOs to own the role of change leader in order to become a better growth leader — constantly striking the right balance between AI automation and the human touch. CMOs: This is no easy feat, but rest assured, we’ve got your back. This report helps CMOs (B2B, B2C, and B2B2C) understand AI’s current and future impact on their responsibilities and how to prepare for a new level of growth accountability.

Intelligent content will redefine relevancy by fusing human creativity, AI, and data to deliver self-optimizing, goal-oriented content artifacts for B2B and B2C audiences.Key takeaways: Understand intelligent content.Move beyond experimentation towards intelligent content.Raise the bar for content operations.Re-architect technology for intelligent content.Shift to adaptive content strategies for content performance.Target audience level: beginner and intermediate

Generative AI (genAI) for visual content is evolving quickly from content productivity to experience delivery. Architects must design stacks that balance low-latency interaction with cost-efficient batch scaling while embedding provenance and governance throughout the pipeline. This report provides reference architecture and solution patterns to help architects navigate the complex trade-offs between latency, cost, and brand safety.

Omnicom enters its first earnings cycle after the IPG acquisition with scale, momentum, and unresolved operational challenges. CMOs should ignore Wall Street’s fixation on quarterly performance and instead evaluate how Omnicom plans to convert its expanded capabilities into customer growth. Despite its new size, the company still faces the same structural barriers constraining the broader […]

As AI accelerates and agentic systems begin to orchestrate more digital journeys, machines are simultaneously content creators and — in deciding what buyers see — a primary content consumption audience. Learn what this means for the future of content.

Intelligent content will redefine content’s relevance to bottom-line business results by combining human creativity, AI, and data to create self-optimizing content with clear goals. Traditionally, it’s been difficult to measure the impact of content on actual business results. Although AI holds promise, it’s beginning to introduce new business risks. This report outlines how intelligent content experimentation has already begun, and the changes leaders need to make to their digital operating models to capitalize on intelligent content. Digital leaders in B2B and B2C should read this report to learn how to evolve content strategy, technology, and operations in the age of AI.