Comcast Corporation announced its intention to separate into two independent publicly traded companies through a tax-free spin-off of NBCUniversal and Sky. Upon completion of the transaction, Comcast shareholders will own shares in both companies, creating two focused industry leaders, each with significant scale, strong financial profiles, and distinct strategic opportunities.

The proposed separation reflects Comcast’s track record of positioning its businesses to compete in rapidly changing markets. As technological innovation, consumer behavior, and competitive dynamics continue to reshape both media and communications, Comcast’s board and management team believe each company will be better positioned to pursue its own strategic priorities, invest for growth, and create long-term shareholder value as independent entities.

Brian L. Roberts will continue to be actively involved in the leadership of both Comcast and NBCUniversal, working in partnership with the CEOs of each company. Mike Cavanagh will serve as Chief Executive Officer of NBCUniversal, while Michael Angelakis, Comcast’s former Chief Financial Officer, will become Chief Executive Officer of Comcast following completion of the separation. In the interim, Angelakis will join as a Strategic Advisor.

Comcast, a leading technology company serving residential and business customers through its broadband, wireless, and entertainment platforms, will focus on delivering exceptional customer experiences backed by the nation’s largest converged network, which reaches more than 65 million homes and businesses. With one of the nation’s fastest-growing wireless businesses and the industry’s leading business services platform, Comcast is positioned for long-term growth as a standalone connectivity company.

Also Read: Why the CMO Now Owns the Privacy Problem

NBCUniversal will become a premier global media and entertainment company, anchored by its growing theme parks division, Universal film and television studios, NBC and Telemundo networks, Peacock, Bravo, and Sky, its European media business. The company will be powered by a portfolio of world-class intellectual property, a deep content library, and exceptional strength across sports, news, and entertainment.

“This is a very exciting day for our company,” said Brian L. Roberts, Chairman and Co-Chief Executive Officer of Comcast Corporation. “The transaction we are announcing will unlock a more entrepreneurial management approach and open up a multitude of new opportunities for each business. Mike Cavanagh will lead the new NBCUniversal media and entertainment company as CEO. His vision is for a unique, independent, focused company that will be home to some of the industry’s most valuable brands and assets across theme parks, film, television, streaming, sports and news. I am also incredibly pleased to welcome Michael Angelakis back as Comcast’s CEO. Michael’s deep knowledge of the business and passion for technology will serve us well as we continue to take bold actions in today’s competitive environment.”

“Both companies begin this next chapter from positions of strength,” said Mike Cavanagh, Co-Chief Executive Officer of Comcast Corporation. “Comcast will continue to build on its leadership in connectivity, while NBCUniversal, together with Sky, will have the scale, brands, content and financial resources to compete as a premier global media and entertainment company.”

Also Read: Your Rebrand Is Failing. Have You Tried Listening?

“Comcast’s exceptional assets, entrepreneurial roots, deep customer relationships, and strong track record of innovation and technological leadership provide a powerful foundation for the future,” said Michael Angelakis. “Together, we will build on those strengths, execute aggressively, invest for growth, and pursue new opportunities to create value for our customers, colleagues and shareholders.”

The separation is expected to be completed through a tax-free spin-off to Comcast shareholders in approximately one year, subject to customary conditions including final approval by Comcast’s board of directors, receipt of tax opinions, regulatory approvals, and completion of financing arrangements. NBCUniversal will have the same dual-class share structure as Comcast. Comcast expects to retain a stake of up to 19.9% in NBCUniversal for up to one year after the spin, which it intends to monetize in a tax-efficient manner over time. Comcast intends to establish a strong investment-grade balance sheet for each business, providing both companies with significant financial flexibility to pursue their respective growth strategies.

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impact.com, the global infrastructure for partnership-driven commerce, today announced new AI and creator capabilities at its annual iPX event, designed to help brands discover partners, drive conversion, scale creator content, and automate partnership workflows in one platform. The announcements reflect impact.com’s continued evolution into an AI-powered infrastructure layer for modern partnerships.

New innovations unveiled at iPX include new ask impact capabilities, autonomous partnership agents, Storefronts, in-platform social amplification, creator discovery integrations, conversion optimization capabilities, and faster creator payouts.

“Partnerships are becoming one of the most important growth engines for modern brands, but much of the infrastructure supporting them is still fragmented and reactive,” said Max Ciccotosto, Chief Product Officer at  impact.com. “That’s why we’re building the infrastructure layer that connects discovery, conversion, measurement, payouts, and AI-driven decision-making in one platform. We believe the category is moving from manual partnership management toward more intelligent, performance-driven partnership orchestration.”

At the center of the announcements are new ask impact capabilities now available, designed to move beyond question-and-answer interactions into contextual guidance, workflow navigation, and task execution across the platform.

Also Read: Your ERP Is Holding You Back. Here’s How to Fix It.

Built on a knowledge graph spanning hundreds of platform screens and thousands of documents, including Partnerships Experience Academy courses, ask impact V2 understands where users are in the platform, what actions they’ve already taken, and what they may need next. Users can ask live performance questions, resume previous conversations, draft outreach, pull partner profiles, and navigate directly into relevant workflows—all within a single conversational thread. 

impact.com also introduced autonomous partnership agents, beginning with a Recruitment Agent (currently in closed beta) capable of identifying, qualifying, and onboarding prospective partners while allowing brands to maintain approval controls and oversight. The company also previewed AI Search Visibility, available this summer to help brands understand which creators and publishers are shaping AI-generated recommendations. 

To support broader AI adoption, the company unveiled an expanded Integrations Hub and Application APIs, enabling partnership data and workflows to integrate directly into external AI ecosystems and large language models, including Anthropic’s Claude. impact.com also previewed a publicly available Model Context Protocol (MCP) connector, planned for release later this summer, that extends the platform’s reach into the growing ecosystem of AI-native tools and workflows.

Together, these capabilities position impact.com as an open AI infrastructure layer for partnerships, built to connect with the broader ecosystem of AI-native tools and workflows. impact.com also announced the general availability of Storefronts, persistent, creator-curated shopping destinations that allow brands and creators to build always-on commerce experiences with performance attribution.

Also Read: Brands Are Making ‘No AI’ Their Biggest Selling Point

Unlike traditional affiliate links that fragment across campaigns and channels, Storefronts provide a permanent destination where creators can curate products while brands maintain control over merchandising, brand presentation, and measurement.

“Our fans are incredibly passionate, and many of them are already acting as creators—curating and sharing the merchandise they love,” said Wade Tonkin, Director of Affiliate Marketing at Fanatics. “Giving creators the ability to build personalized storefronts allows them to reflect their own voice while staying true to our brand, creating a more authentic commerce experience for fans. Paired with impact.com’s performance capabilities, we can now connect that authentic fan-driven content directly to measurable outcomes, creating a more scalable and integrated partnership strategy.”

Additional creator innovations announced at iPX include:

• In-Platform Social Amplification, enabling brands to turn creator content into paid media campaigns directly within impact.com, available now with Instagram,  with additional major social platform integrations planned throughout the year
• Verified creator discovery integrations with Instagram’s Creator Marketplace, building on earlier integration work with YouTube, to bring first-party creator insights and audience data directly into the platform, with TikTok and Facebook integrations planned
• Single-Use Promo Code Links on the roadmap for Shopify and BigCommerce brands, automatically applying creator discounts at checkout while reducing attribution leakage and checkout friction
• Creator Benchmark Reporting, now providing brands with comparative creator program performance insights across key industry metrics
• Anytime Withdrawal, now available with PayPal, enabling creators and partners to access earnings faster, with Venmo and additional payment methods planned

Also Read: Why the CMO Now Owns the Privacy Problem

Together, these innovations reflect a broader shift from fragmented tools and passive reporting to infrastructure that helps brands and creators discover opportunities, optimize performance, and drive measurable growth. By combining creator commerce, paid media execution, first-party data, payouts, APIs, and AI-driven automation in one platform, impact.com is building the operating system for modern partnerships.

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DoubleVerify, the leading software platform to verify media quality, optimize advertising performance and prove campaign outcomes, today announced the launch of AI-powered brand suitability reporting for YouTube Audio Ads campaigns, extending DV’s trusted post-bid measurement capabilities to this listening-first format.

As advertisers increasingly allocate dedicated budgets to audio environments, the need for transparency and control continues to grow. With brand suitability reporting for YouTube Audio Ads campaigns, DV helps customers confidently expand into this media category, applying consistent standards and gaining the visibility needed to drive stronger performance.

“As audio consumption continues to grow, advertisers need the same level of transparency and control they expect across the broader digital ecosystem,” said Steven Woolway, EVP of Business Development at DoubleVerify. “With AI-powered brand suitability measurement, we’re extending the same trusted insights advertisers rely on for video into audio-forward environments, giving our customers the transparency and control needed to protect brand equity while scaling investment with confidence.”

YouTube Audio Ads are designed for listening-first experiences, running as in-stream ads with lightweight creative, typically a static image or simple animation paired with high-quality audio. These ads appear across environments where users are more likely to listen than watch, including YouTube Music, podcast content on YouTube and other audio-forward inventory.

Also Read: Are We Using AI to Help Customers or Avoid Them?

As audio becomes a more intentional part of media plans, it introduces a new layer of complexity for brand suitability. Without proper post-bid measurement, advertisers risk limited visibility into potential misalignment between their brand and the audio content surrounding their ads.

DV’s brand suitability reporting for YouTube Audio Ads is powered by Universal Content Intelligence™, DV’s AI-powered classification engine that analyzes content across audio, video, text and image signals to deliver precise, scalable classification. In audio-forward environments, DV applies advanced AI models to interpret spoken language, sentiment, contextual cues and metadata. This multi-signal approach enables more accurate identification of nuanced content, ensuring brand suitability standards are consistently applied.

Also Read: Brands Are Making ‘No AI’ Their Biggest Selling Point

DV’s brand suitability offering is a key component of DV’s Media AdVantage Platform, which combines media verification, ad performance optimization and campaign outcomes measurement to maximize media effectiveness and return on ad spend. As part of media verification, DV’s brand suitability measurement provides advertisers with actionable insights into content alignment, strengthening confidence in campaign performance.

DV recently announced the launch of DV AI SlopStopper™ for Social, expanding protection against low-quality, AI-generated content and helping advertisers maximize media quality and campaign performance across social environments.

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Atento, one of the world’s leading providers of customer relationship management (CRM) and business transformation outsourcing (BTO) services, has expanded its portfolio of solutions for companies that choose to keep their customer experience (CX) operations in-house.

With more than 25 years of experience in customer relationship management and operational transformation, the company offers advanced technologies to improve efficiency, customer experience, and performance across organizations of all sizes and industries.

The initiative democratizes access to technological solutions that were previously reserved for outsourced operations. “Atento brings its expertise in BTO and democratizes access to advanced customer relationship management solutions for companies that keep their CX operations in-house,” says Pablo Sánchez, CMO at Atento.

The combination of CX consulting, AI, and automation applied to critical processes opens new opportunities for the company to expand its reach beyond its current customer base. This offering reinforces Atento’s position as a strategic partner for companies that view customer relationships as a key asset and prefer to manage them in-house.

Also Read: Is AI About to Make Media Buying an Endless Experiment?

Suite of solutions to boost the efficiency of internal operations

Focused on automation, data analytics, AI, and management tools, Atento’s solutions enhance the customer experience and optimize KPIs in large-scale operations. Highlights include:

AI Agent Assist

AI-powered agent support that provides real-time responses to streamline and enhance the customer experience. By delivering the right information at the right time, it reduces handling time, increases resolution rates, and ensures brand consistency. This integrated, scalable tool turns every agent into a high-performing professional by providing NBA (next best action) and NBO (next best offer) in every interaction.

AI Advanced Insights

A platform that transforms complex data into actionable insights to modernize operations, optimize performance, and strengthen a company’s competitive advantage. The solution directly improves NPS and employee retention, driving operational excellence in the customer experience.

Also Read: Are We Using AI to Help Customers or Avoid Them?

AI Agents

Technology that automates multichannel interactions—voice, text, and multimedia—while maintaining a high level of personalization. This solution reduces costs, optimizes workflows, and provides strategic insights that accelerate growth, strengthening customer engagement and loyalty without requiring human intervention.

“Thanks to streamlined processes, continuous investment in technology, and a people-centric approach, Atento is leading the evolution of customer experience operations and business transformation, influencing companies that view the customer relationship as fundamental and do not intend to outsource it,” Sánchez notes.

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The moment a brand asks a customer for their data is one of the most important interactions in the entire customer relationship. Get it right, and you earn their trust. Get it wrong, and you lose a customer who likely won’t come back.

For years, that moment was treated as a legal problem or something to hand off to compliance and forget about. That era is over. In the age of AI, data consent has become a brand issue, a growth issue, and, increasingly, a CMO issue. 

The “Trust Gap” Is an Opportunity in Disguise

Consumer trust in data practices is eroding at exactly the moment brands need it most. A recent EY study reveals that 55% of consumers worry that organizations will fail to comply with their own AI policies.

The brands that move first to close that gap with transparent, well-designed data experiences are building a competitive moat that’s very hard to replicate.

A recent MIT Insights report notes 44% of consumers say transparency about data use is the single top driver of brand trust, ranking above security guarantees and even the ability to control data sharing. In other words: transparency isn’t a compliance cost – it’s the foundation your personalization and AI strategy is built on.

Also Read: Hyper-Automation Is Over. Agentic AI Is What Comes Next.

Why CMOs Are Positioned to Solve This Problem

The most common disconnect I see is in organizations where both legal and marketing want to build trust but define it in entirely different ways. Legal measures success in compliance rates. Marketing measures it in engagement and retention. Without a shared framework and unified KPIs, those teams end up optimizing against each other. Privacy-led UX touches legal, product, IT, and data operations, and the CMO is the one function with visibility across all of it. That makes closing this gap a CMO job, whether it’s on the org chart or not. The CMO can be the one to bridge that gap.

Good privacy UX at its core is good brand UX. Consider how brands like Zalando approach it. They use phrases like “tailor your privacy settings,” which align with their fashion identity and audience. Similarly, Porsche frames data controls around “full control,” putting customers in the driver’s seat figuratively as well as literally. Both of these are examples of intentional brand decisions that signal privacy is a core part of how the company treats its customers.

AI Everywhere Makes Privacy an Urgent Matter

If the business case for privacy-led UX isn’t compelling enough on its own, AI has changed the stakes entirely. In a recent Forrester survey of privacy professionals on the ROI of their privacy programs, the second most common answer after regulatory compliance was enabling AI adoption. Put simply: you can’t scale responsible AI without the privacy infrastructure already in place.

The need for comprehensive privacy becomes even more critical as agentic AI moves from concept to deployment. Unlike generative AI, where users make conscious choices about what to share, agentic systems act on a user’s behalf. Agents can make bookings, purchases, and data-sharing decisions without explicit input at every step. The traditional consent moment, as we used to know it, may never occur.

Also Read: AI Is Supercharging Returns Fraud. Retailers Are Behind.

The New Mandate

The window to get ahead is still open. CMOs have always been in the business of building brand equity, and how a brand handles data is now inseparable from that equity. The organizations that invest in consent infrastructure today will be well-positioned when the regulatory and competitive environment tightens further. The ones that don’t will have a hard time catching up. The difference comes down to a simple mindset shift: treat privacy as a relationship to be managed, not a disclosure to be made.

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Freepik, the Málaga-based creative platform founded in 2010 as a search engine for graphic resources, has relaunched under the name Magnific — a rebrand that brings together its image generation, video, upscaling, audio, collaboration and asset library capabilities under a single unified identity.

The company launches with $200 million in annual recurring revenue, more than one million paid subscribers and adoption across more than 250 enterprise clients, including the creative teams at BBC, DeliveryHero, Guess, Huel, R/GA and Job&Talent, which are already running production-level generative AI workflows on the platform.

The Magnific name is not new to the company. Magnific was acquired by Freepik in May 2024 and was subsequently named by Andreessen Horowitz as the top generative AI web company in Europe by users. The rebrand brings the full combined platform into focus under a single identity for the first time.

Also Read: Three Myths That Are Keeping Brands Away From AI

“The problem was never the product,” said Joaquín Cuenca, chief executive of Magnific. “People saw fragments: Freepik as stock, Magnific as an upscaler. This is the first time the full system is visible as one platform.”

The relaunch also marks a deliberate positioning around what Cuenca calls the “no-collar economy” — his term for a structural shift in who participates in creative production as AI tools lower the cost and complexity of high-quality content creation. “The industrial revolution created the blue-collar jobs and the digital revolution created the white-collar jobs,” he said. “Creatives are about to become more powerful than anyone expected. That’s the no-collar economy. And it’s already underway.”

The platform’s data supports the argument. Seventy-two percent of new creators joining Magnific identify as beginners — a signal that professional-grade creative tools are reaching well beyond traditional creative roles. The company’s Business plan, launched in January 2026 for smaller teams, surpassed 2,000 subscriptions in six weeks and continues to add around 150 new teams per week.

Enterprise adoption is also moving beyond experimentation. BBC, DeliveryHero, Huel and R/GA are among the organizations now using Magnific for production workflows — generating assets, prototyping visuals and scaling content across campaigns and markets rather than running isolated pilots.

“In the future, we will make films like we write books,” Cuenca said. “One person with a vision and the tools to execute it.”

Also Read: When Silence Hurts Brands in the Age of AI

Cuenca, who co-founded Freepik in Málaga in 2010 alongside two friends with no outside capital, described the relaunch as a natural evolution rather than a reinvention. “We started without any capital, three friends dreaming big,” he said. “We didn’t know what we’d build. We just knew we weren’t comfortable staying still. Now we’ll find new stories to tell.”

The unified Magnific platform covers image and video generation, including 4K with audio, AI upscaling, a real-time collaborative workspace, 3D and virtual scene tools and a library of more than 250 million creative assets.

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E.l.f. Beauty has made three senior leadership appointments, reshaping its marketing and technology ranks as the company raises its fiscal 2026 financial outlook.

Oshiya Savur has been named chief marketing officer for E.l.f. Brands. She joins from beauty incubator Maesa, where she served as chief marketing and brand officer, and previously held senior roles at Suave, TRESemmé, Elizabeth Arden and Charlotte Tilbury, as well as Revlon’s luxury portfolio. Separately, Ekta Chopra has been elevated to a newly created role of chief technology and AI officer — a title that signals the company’s intent to formalise artificial intelligence as a distinct executive function rather than an extension of existing technology leadership.

The appointments sit alongside the previously announced arrival of a new chief brand officer, whose addition prompted the creation of the separate CMO role for Savur.

“Savur is one of beauty’s most dynamic builders, having led brand, innovation and omnichannel growth across some of the industry’s most recognised names,” the incoming chief brand officer wrote on LinkedIn. “She has a rare track record of turning consumer insight into action, driving multiple number-one launches.”

The changes come as E.l.f. reaffirmed confidence in its growth trajectory. “Our value proposition, powerhouse innovation and disruptive marketing engine continue to fuel our brands,” said Tarang Amin, chairman and chief executive. “We remain confident in our ability to grow market share and deliver best-in-class growth in beauty, as reflected by our raised fiscal 2026 outlook.”

Also Read: Three Myths That Are Keeping Brands Away From AI

E.l.f. has built an unusually aggressive marketing identity for a mass-market cosmetics brand, positioning itself as a first-mover on emerging platforms and cultural moments. The company was among the earliest beauty brands to commit meaningfully to TikTok. Most recently, E.l.f. Cosmetics released a 10-minute mockumentary called “Vanity Vandals,” which made its theatrical debut at the TCL Chinese Theatre in Los Angeles — an unusual distribution choice for branded content. Earlier this year, the brand ran a purpose-driven campaign timed to Bad Bunny’s Super Bowl halftime show performance.

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In a recent discussion with a marketing analyst, she noted that while brands are aware of AI tools and view them positively, adoption remains slow.

The primary reason is that brands often believe their data is not ready for AI tools.

This is surprising, as brands typically require minimal preparation to use AI. Many are held back by common misconceptions, which can be addressed as follows:

Myth #1: Not Enough Data

Many brands hesitate to adopt AI because they believe they lack sufficient data. This perception is understandable, as AI marketing often emphasizes processing large data sets.

However, brands do not need large data sets to benefit from AI-powered insights. Small and mid-sized businesses often have enough customer records to leverage AI for audience targeting or customer acquisition modeling.

Ideally, a brand should have 20,000 customer records to import into an AI system, though 10,000 records can still yield meaningful results. Brands with only a few hundred records may not benefit significantly, but established companies with extensive customer profiles are well positioned to begin.

Myth #2: Disorganized Data

Even when brands have sufficient data, they may hesitate due to concerns about data organization. However, many current AI tools can organize data for brands or agencies and return it in a usable format.

AI tools can enrich datasets and connect customer profiles, which is a fundamental capability. Brands may use AI solely for data organization before exploring more advanced features, allowing for a gradual approach to adoption.

Also Read: The Organizations That Survive Disruption Never Had to Recover From It

Myth #3: Cannot Afford New Staff or Technology

A major barrier to AI adoption is the anticipated demands of integrating new tools, including concerns about staffing, training, and infrastructure.

This is based in reality. Brands have spent the past two decades navigating the integrations of buying tools and data and customer management platforms so that they can take advantage of this data-driven age. 

While it may seem that AI requires similar integration efforts, much of the process can occur within a single application. This eliminates the need for additional internal technology stacks or extensive engineering, as the necessary infrastructure is managed externally.

With app-based AI tools, training and staffing requirements are minimized. While some workflow adjustments are necessary, these tools typically do not require hiring new staff or extensive training.

Fearless Adoption

These three myths are understandable, but if they persist, they will hinder brands from embracing AI-powered advertising. Most brands are already equipped to begin using AI tools, even on a trial basis. Overcoming these misconceptions will encourage adoption and drive further innovation in marketing.

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Birch Coffee, one of New York City’s most beloved independent coffee brands, has opened its twelfth location, powered by Square’s unified commerce platform. Built on a hospitality-first ethos and a commitment to neighborhood connection, the brand is steadily scaling by using Square to simplify operations, support frontline teams, and deliver a consistent customer experience across every location.

Birch Coffee’s origin story is one of humility and hustle. Founded in 2009 by two bartenders new to the industry, the brand has grown from a neighborhood newcomer into a name recognized city-wide for its warmth, craft, and community. Believing that every cup of coffee has its own story and soul, the founders early on established relationships with South American farmers behind their beans, with a commitment to discovering the best processing methods and flavor profiles. As they embarked on ambitious expansion, the team needed technology that would evolve alongside them, upholding their high product standards without adding operational complexity.

“We really immersed ourselves in the industry, learning as much as we could and becoming more confident in our point of view,” said Jeremy Lyman, co-founder of Birch Coffee. “What started as a small, uncertain venture has grown into a more established and intentional brand. We’ve become much clearer about who we are and how we operate, and we need systems that support that as we grow.”

That intentionality has paid off. In 2025, Birch Coffee posted 16 percent year-over-year growth — a testament to the brand’s local reputation and the commerce infrastructure supporting it. Before Square, Birch Coffee ran on a legacy point-of-sale system that was struggling to keep pace with rapidly advancing customer expectations. When word spread that other local coffee operators were making the switch to Square, the founders took notice.

Also Read: The Organizations That Survive Disruption Never Had to Recover From It

“It’s easy to use, easy to train on, and easy to scale with,” said Lyman. “Being able to run so much of the business through one ecosystem while still integrating with best-in-class partners is a big advantage. The overall simplicity and flexibility would be hard to replace.”

Birch Coffee’s portfolio runs entirely on Square, combining hardware, software, and integrations that support both frontline operations and back-office management. The business uses Square Register and Square for Restaurants to power its service operations, while Square’s email marketing tools and gift cards help drive community connection and repeat visits from loyal regulars. Square also powers the brand’s coffee subscription service. Birch Coffee additionally uses a custom-built API alongside an integration with workforce scheduling platform 7shifts — an example of how Square’s open platform can be tailored to a brand’s specific needs.

Running a coffee brand in New York City poses distinct challenges. The pace is fast, real estate is tight, and with local competition fierce, customers expect standout experiences every time they walk through the door. Square is designed to meet those demands, offering the reliability to handle dense urban footprints, tools to manage large and rotating teams, and the mobility to take commerce anywhere.

“Cafés have some of the most demanding commerce needs, with high transaction volumes, complex shift work, tip income, and customers who expect excellence with every visit,” said Nick Molnar, global head of sales and marketing at Block. “Square is purpose-built to meet those demands, and what Birch Coffee has achieved across its locations in New York City is a testament to what’s possible when capability scales. The same platform that powers a single neighborhood café can run a multi-location enterprise without adding complexity. That’s the promise we deliver for operators like Birch Coffee.”

Also Read: Protecting Loyal Customers From Your Own Return Policies

With its twelfth location now open and further expansion on the horizon, Birch Coffee shows no signs of slowing down. The company remains focused on deepening its presence in New York City’s coffee community, and with Square as its unified commerce provider, it is positioned to keep growing without losing the hospitality-driven character that defined it from the start.

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SurveyMonkey has launched a national brand campaign asking a single question that its executives believe cuts to the heart of how most business decisions go wrong: What if you just knew?

The campaign, developed entirely by Studio M, the company’s in-house creative agency, places viewers inside familiar workplace moments — evaluating a bold new product idea, sensing that something may be off with team morale — and pauses at the point of uncertainty rather than resolving it. The tension is the point. The question is the product.

“What if you just knew?” runs across streaming video, social media, digital display, podcasts and digital out-of-home advertising nationally, with prominent outdoor placements in Chicago and Boston. In an interactive extension of the concept, viewers are invited to take the same surveys featured in the advertisements — a screen-to-survey experience the company says demonstrates how quickly teams can gather real feedback from real people.

Studio M built the campaign using the same methodology it is designed to promote. The team ran surveys throughout the creative development process to test messaging, pressure-test ideas and validate market placements before launch. One finding that shaped the campaign’s direction: one in four workers say they are struggling or burned out at work, according to SurveyMonkey’s own research — the kind of question, the company says, that leaders are trying to answer every day without reliable information.

“We built this campaign the same way we encourage our customers to work: by listening first,” said Katie Miserany, SurveyMonkey’s chief communications officer and head of global marketing. “When you gather feedback before you launch something, you get a glimpse at your blind spots and a way to challenge assumptions. You don’t have to be right, but you get a chance to get it right.”

Also Read: AI Isn’t Killing PR. Bad Measurement Is.

Alongside the campaign, SurveyMonkey has refreshed its brand manifesto and launched a free tools hub giving anyone access to some of its most popular research tools and calculators — including an AI survey generator — without requiring an account. Several of the tools in the hub were used during the campaign’s own development process.

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