Rachel Perkins

expert panel

Customers rarely announce their intention to break ties with a business or abandon a product. Companies must learn to spot and interpret both loyalty and churn signals. Subtle behavioral changes in areas like logins, usage, support interactions and payment activity often show up weeks or months before a customer cancels, but only if teams know where to look and how to interpret what they’re seeing.  As services are increasingly digitized, the problem isn’t a lack of data. It’s knowing which data points actually reveal customer stickiness and which ones are just noise. AI-driven predictive models can help businesses pinpoint and better understand subtle churn signals. But even when leaders know what to look at and where, raw observations don’t move the needle on their own. Turning behavioral cues into measurable retention gains requires discipline, context and a willingness to design proactive interventions that center on real human emotions and reactions. Here, members of the Senior Executive CMO Think Tank tap into their experience and expertise in customer engagement to explain how to separate meaningful loyalty and churn signals from metric clutter, as well as how to translate those insights into action. Their practical strategies can help leaders identify churn risk early, prioritize the right data sources, and build initiatives that don’t just gauge loyalty but actively create it.

expert panel

Marketing teams track clicks, conversions, sentiment scores and customer journeys with precision, yet many brands still struggle to convey their unique value. Standard marketing metrics reveal whether a message is being seen and heard by audiences, but not why it is (or isn’t) inspiring customers to take the next step. Marketing teams must learn to surface not just quantitative data but also qualitative insights—that is, they must go beyond vanity marketing metrics to understand and measure persuasion. But that’s just the first challenge. At the November 2025 MarTech conference, Eric Mayhew stressed that a competitive edge comes from combining unique data with a compelling narrative. That observation builds on an insight recognized across disciplines, from education to sales: A well-told story helps audiences learn and retain information far better than a list of facts.  So how can brands pinpoint meaningful insights and weave them into noteworthy narratives? The members of the Senior Executive CMO Think Tank have deep experience in brand storytelling, digital advertising, customer engagement and the growing role of AI in marketing. Below, a group of them draws on their years of frontline experience to share how marketing teams can uncover differentiating data competitors overlook and transform it into stories customers recognize, repeat and rally around.

expert panel

Increasingly strict data usage and privacy regulations have expanded protections for consumers. But for marketing teams and agencies, they’ve rewritten the digital advertising playbook. The ad industry has scrambled to adapt by reworking ad spend, retraining teams and investing in first-party datasets. However, a significant challenge still remains: “Show us the ROI” conversations with C-suites and clients are more difficult than ever.  Third-party cookies are fading, consent banners are everywhere, and platforms keep tightening what can be tracked. With limited access to consumer data, proving performance with concise, data-driven attribution reports is neither as easy nor as reliable as it used to be. When you can’t follow every user breadcrumb, you need a smarter way to connect marketing activity to business outcomes that clients actually care about. So what replaces the old playbook now that the days of detailed digital dashboards are over? In today’s marketplace, the strongest strategies blend tighter targeting, bottom-line proof points and carefully crafted conversations. Below, members of the Senior Executive CMO Think Tank share what’s working for them as they seek to pinpoint and prove the ROI of their digital marketing.

expert panel

Personalization was intended to be the “concierge” of digital marketing: a helpful nudge, a timely reminder or a suggested shortcut that made a customer feel understood. Somewhere along the way, however, personalized marketing started feeling more like a carnival barker with a confetti cannon—loud, distracting and relentless, as well as oddly confident about what you “must” want to see next. And all those sights and sounds aren’t just overwhelming; they’re often off-kilter and off-putting. In one survey, two-thirds of global consumers reported being targeted by inaccurate or invasive marketing. Now, Gartner’s November 2025 report, “Leadership Vision for 2026: Chief Marketing Officer,” adds a sharper warning: Overly aggressive, algorithm-driven personalization can actively weaken trust and leave consumers feeling overwhelmed with information and hesitant or regretful about making purchases. Even so, abandoning personalization altogether isn’t the answer; the majority of consumers still expect personalized interactions and are frustrated if they don’t receive them.  So what does “better personalization” look like in 2026, and how can CMOs make customers feel seen, not herded? Below, members of the Senior Executive CMO Think Tank share their takeaways from the Gartner report as well as practical strategies to help marketing teams produce personalized messaging that’s compelling rather than creepy. 

expert panel

If you’ve recently used Google to track down a quick answer, you may have read the summary at the top of the results page and moved on. When time is tight and the information is clear and straightforward, that instant snapshot can be enough to meet your immediate needs. Or perhaps you’ve taken the route increasingly favored by users and leveraged a generative AI tool like ChatGPT or Claude for research or shopping. Both those scenarios reflect a single truth: Competitiveness in the world of online search is becoming more and more about being the source an algorithm trusts enough to summarize, cite or synthesize.  Brands that have spent years tuning keyword strategies and chasing incremental ranking gains need to rethink their strategies. Recent findings underscore the stakes: A Pew Research Center analysis shows that when an AI summary appears at the top of a Google results page, users are less likely to click one of the links below. This means regularly winning a coveted spot on the first page of search results won’t necessarily drive steady traffic to your website. In this moment, the real question isn’t whether SEO is “dead”; it’s whether your brand messaging is accessible and understandable for AI algorithms without being bland and forgettable to humans. The members of the Senior Executive CMO Think Tank live at the intersection of brand storytelling and AI-driven marketing changes. Here, they discuss practical, future-focused search strategies for brands, including how to make content easier for AI to interpret, the authority signals that make it worth surfacing, and how to balance visibility with authenticity and impact.

expert panel

CMOs accustomed to a focus on crafting polished brand messages for their own websites and traditional search are waking up to a new digital marketplace. Increasingly, buyers aren’t clicking links on search pages—they’re going to AI assistants to do work-related research, get detailed answers to personal questions, find product recommendations and even manage shopping lists. Brands can no longer rely solely on Google rankings—they need to show up in the AI-generated summaries people read, quote and act on. While a November 2025 Semrush report noted that ChatGPT is citing Reddit and Wikipedia less frequently than it has in the past, they’re still among its top three sources—a signal that “useful” content in the GenAI era often looks less like a polished campaign page and more like a living knowledge base. Companies are responding in a shift that’s been framed as a move toward generative engine optimization (GEO), where visibility increasingly depends on whether your expertise is shared in such a way that it answers real questions and can be pulled, summarized and trusted in AI-driven results.  So what new strategies should marketing leaders pursue in the face of these changes? Here, members of the Senior Executive CMO Think Tank—experts in brand storytelling, digital advertising, customer engagement and the rise of AI in marketing—share what these citation patterns suggest about the content AI models treat as credible and offer practical ways to rethink content and engagement.