Amazon has once again claimed the crown as the top-ranked brand in the U.S. — and thanks to a new tool from market research firm YouGov, marketers are beginning to understand why it dominates. The recently launched YouGov BrandIndex Voices goes beyond traditional brand metrics to uncover the deeper emotional connections and consumer experiences that drive Amazon’s unrivaled position in the hearts and minds of shoppers. While quantitative tracking tools have long shown Amazon’s strength through high scores in areas like satisfaction, quality, value and reputation, BrandIndex Voices adds context and narrative to these numbers. It’s an AI-powered qualitative research platform that listens to real consumer conversations — revealing not just how people feel about a brand, but why they feel that way. Why Amazon Tops the Best Brand Rankings According to the BrandIndex Voices analysis, Amazon’s leading status is rooted in its ability to remove friction from everyday life. For millions of Americans, Amazon isn’t just a place to shop — it’s an intuitive part of their lifestyle. Shoppers repeatedly emphasize convenience, ease, affordability, and the platform’s capacity to simplify routine tasks. One BrandIndex Voices interview highlighted this vividly. A consumer explained that physical shopping can be challenging — especially for those with mobility issues — because it involves travel, searching for stock, and the hassle of carrying heavy items home. With Amazon, they said, “I can see immediately if an item is available, when it will be delivered and I don’t have to be concerned about transporting the item myself or going to the store possibly unnecessarily.” That sentiment captures why many view Amazon as indispensable: it replaces uncertainty and inconvenience with predictability and ease. This friction-free experience is central to Amazon’s appeal. Whether customers are ordering groceries, household essentials, electronics or books, the ability to shop anytime and have purchases delivered directly to their door resonates strongly with modern consumer expectations. BrandIndex Voices makes clear that this goes far beyond traditional performance indicators — it taps into the emotional relief and satisfaction shoppers feel when a brand consistently makes life easier. The Dual Nature of Amazon’s Brand Perception Interestingly, the qualitative data also reveals a nuanced emotional landscape. While consumers overwhelmingly appreciate Amazon’s convenience and efficiency, some express reservations about how the company achieves these advantages. Concerns mentioned include the impacts on small businesses, labor practices, and the sheer scale of Amazon’s influence. Yet even when these issues are acknowledged, they rarely deter customers from using the service. The positive day-to-day experiences Amazon delivers tend to outweigh ambivalence or criticism for most people. This duality — where consumers simultaneously admire and question aspects of Amazon — is precisely the type of insight BrandIndex Voices aims to capture. Traditional brand health scores can tell companies what consumers think about their offerings, but qualitative insight reveals the emotional and experiential drivers behind those scores. Marketers and researchers can then understand not just the outcomes of consumer perception, but the narratives that shape them. BrandIndex Voices: From Metrics to Meaning YouGov’s BrandIndex has long been an industry standard for tracking brand health using quantitative measures like overall impression, quality, value, satisfaction, and likelihood to recommend. Indeed, Amazon’s strong performance on these metrics is well documented: in YouGov’s rankings, it consistently sits at or near the top among U.S. brands based on these composite index scores. But BrandIndex Voices represents a shift in focus — it adds depth to the why behind the what. Rather than solely capturing scores, the new tool engages in conversational, AI-driven qualitative research that taps into consumers’ real voices. This approach makes it possible to uncover emotional drivers, hesitations, narratives and nuanced perceptions that quantitative metrics alone cannot reveal. According to Ray Martin, CEO of YouGov America, BrandIndex Voices transforms brand tracking “from a rearview mirror into a strategic compass.” In other words, rather than just telling marketers how a brand has performed in the past, the tool provides forward-looking insight into the forces shaping consumer sentiment today. This has important implications for marketing teams. Instead of relying exclusively on numerical scores to make decisions, teams can explore why certain perceptions exist — giving them the power to craft strategies grounded in consumer language and emotional context. It also enables faster responses to competitive shifts or changes in consumer attitudes, since qualitative insight can be generated in weeks rather than months. What This Means for Marketers For brands seeking to compete with Amazon or elevate their own positioning, BrandIndex Voices offers guidance on how to uncover and interpret the narratives that matter most to consumers. By understanding not just that a brand is valued for certain attributes — but why and how those attributes resonate — marketers can build more emotionally intelligent strategies and stronger connections with audiences. Amazon’s top ranking in the best brand list is no accident. It reflects a brand that has embedded itself into everyday life through frictionless experiences and consistent delivery of value. With tools like YouGov BrandIndex Voices, companies now have the means to understand those advantages at a deeper, more human level — and use that understanding to drive stronger, more resonant brand strategies in the future.

As the Super Bowl LX approaches, a high-stakes marketing battle is playing out off the field and on television screens as AI giants OpenAI and Anthropic escalate their rivalry with sharply contrasting strategies — and a dose of humor mixed with heavy criticism. In one of the most unusual tech feuds to hit mainstream media, Anthropic launched a series of Super Bowl commercials targeting the future of AI monetization, and OpenAI’s leadership fired back with a public rebuttal calling those ads “dishonest” and misleading — marking a rare and very public clash between two leaders in the artificial intelligence space. Anthropic, the AI company co-founded by former OpenAI researchers, made its Super Bowl advertising debut with a campaign centered on a simple message: “Ads are coming to AI. But not to Claude.” The campaign highlights Claude, Anthropic’s AI chatbot, and positions it as an ad-free alternative at a moment when OpenAI is preparing to introduce advertising into ChatGPT, its own widely used conversational AI service. The spots — part of a campaign called “A Time and a Place” — use satirical scenarios to make their point. In each ad, a person seeking advice from an AI-like human is abruptly interrupted by a jarring product pitch, implying a future in which AI chatbots might insert marketing content into personal conversations. One scenario shows someone asking for fitness or relationship guidance, only to be served an intrusive ad; another depicts a therapist-style exchange shifting unexpectedly to a commercial endorsement. Each ends with a splash screen declaring that while ads may be coming to AI in general, they won’t appear in Claude. This marketing push is more than just an attempt to grab attention during one of America’s most watched television events. For Anthropic, it’s a branding strategy designed to capitalize on broader public concerns about how AI will be monetized and whether advertising could compromise the user experience. The choice to run these commercials during the Super Bowl — where an estimated 100+ million viewers are expected to tune in — underscores how seriously Anthropic is taking the opportunity to define its identity in contrast to OpenAI. OpenAI’s response was swift and unequivocal. CEO Sam Altman took to social media platform X (formerly Twitter) to critique Anthropic’s ads, calling them “clearly dishonest” and arguing that they misrepresent how OpenAI plans to integrate advertising into ChatGPT. Altman — acknowledging that he found the ads funny at first — emphasized that OpenAI’s approach to advertising would be transparent and unobtrusive, with clearly labeled placements that do not disrupt or alter the core conversational experience. Altman also took the opportunity to push back on Anthropic’s broader messaging. He accused the rival company of serving “an expensive product to rich people” and suggested its commercials unfairly cast OpenAI’s strategy in a “deceptive” light. He made the case that ChatGPT’s varied pricing tiers — ranging from free to several subscription levels — are part of OpenAI’s broader mission to make AI accessible to billions of users, not just affluent customers. Kate Rouch, OpenAI’s chief marketing officer, echoed this tone in her own social posts. She argued that true betrayal isn’t advertising itself, but control — implying that limiting AI usage or debate about business models is antithetical to what she described as open innovation. The feud has resonated far beyond the tech world. On social platforms and in online communities, reactions have ranged from mocking Altman’s strong rebuttal to praise for Anthropic’s bold strategy. Some commentators suggest the episode reflects an entirely new era in tech rivalry — one where brand perception, trust, and consumer sentiment may matter as much as underlying technical capability, especially as AI tools become increasingly ubiquitous in everyday life. Industry analysts see this conflict rooted not just in marketing strategy, but in different philosophical approaches to AI commercialization. Anthropic has positioned Claude as a principled alternative that avoids advertising, framing it as an ethical stance designed to preserve trust and neutrality. OpenAI, meanwhile, argues that responsible advertising — clearly labeled and non-intrusive — is necessary to sustain free access for a vast global user base and to support long-term investment in advanced AI research. This battle also reflects deeper competitive dynamics. Anthropic was founded by former OpenAI researchers in 2021 with an emphasis on AI safety and ethical deployment, and the rivalry has periodically flared in other contexts — from API access issues to model performance debates. The Super Bowl ad showdown adds a marketing and consumer trust dimension to that existing competition, elevating it into mainstream consciousness in a way that few AI debates have. The outcome of this clash remains uncertain. While Anthropic’s commercials have generated buzz for their creativity and timing, critics note the irony of an ad campaign built around criticizing ads, especially one placed in the most ad-saturated broadcast event of the year. Meanwhile, OpenAI’s rebuttal underscores a confidence in its model and user proposition, even as it defends its evolving monetization strategy. What is clear is that AI has now matured to the point where its corporate rivalries are no longer confined to developer forums and research papers — they’re playing out on the biggest advertising stage in the world. As competition intensifies and companies vie for users, revenue, and brand identity, the public conflict over advertising in AI may well shape broader perceptions of how these powerful tools should be marketed, monetized, and trusted by millions of users worldwide.

For decades, marketers measured success the same way: reach, impressions, frequency, and raw visibility. If a campaign delivered millions of eyeballs, it was deemed effective. But as consumer behaviour evolves and attention becomes fragmented, this old model is quietly giving way to a new paradigm — brand experience as the ultimate measure of marketing success. This shift isn’t just semantic. It reflects a deeper rethinking of how brands create impact, build loyalty, and justify investments in an increasingly competitive media landscape. In essence, visibility alone no longer guarantees value — how consumers feel, engage, and remember a brand now defines success. Why Attention and Experience Matter More Than Ever The rise of brand experience as a core metric stems from a simple but crucial insight: consumers are overwhelmed by messages, but they remember experiences. As people shift across platforms and formats — from short-form video to immersive social spaces — brands must compete for attention, not just eyeballs. According to the dentsu–e4m Digital Advertising in India 2026 report, marketers are already abandoning impressions as the central yardstick of media effectiveness. Instead, metrics like attention minutes, emotional engagement, interaction quality, and repeat behaviour are gaining prominence. These measures go beyond counting views; they evaluate how deeply an audience connects with a brand and how long that connection lasts. This transition reflects a broader truth: in a crowded media world, awareness has diminishing returns when it’s not coupled with meaning and memorability. Incremental reach — especially on digital platforms where impressions are abundant but attention is scarce — often fails to move the needle on business outcomes. From Metrics to Meaning: What Experience Looks Like So what does it mean for brands to prioritise experience? Marketers are now layering qualitative behavioural signals on top of traditional data to capture engagement quality. Instead of simply counting likes and views, they are analysing: Content completion rates — how many people watched or interacted fully Dwell time and repeat visits — indicating sustained interest Voluntary interactions — such as shares, saves, or organic conversations Emotional resonance — tracked through sentiment analysis or brand lift studies These experience indicators help brands understand not just that consumers saw a message, but how they reacted and what they felt. In today’s marketplace, emotional connection often translates directly into loyalty, trust, and long-term value — all of which drive business growth more effectively than superficial awareness metrics. Brands That See Experience as Business, Not Soft Metric At RENÉE Cosmetics, brand experience isn’t just a “nice-to-have”; it’s a core business KPI. According to co-founder Ashutosh Valani, while sales data tells what is happening, experience metrics reveal why — giving deeper insights into consumer sentiment, advocacy, and loyalty. Valani explains that at RENÉE, experience is embedded across the entire journey — from initial interaction to long-term engagement. By evaluating experience at both campaign and brand levels, the company gains real-time feedback while also tracking shifts in long-term perception. This dual-layer approach allows marketers to balance agility with brand building that endures. As a result, budgets are increasingly being allocated toward experiential activations, interactive events, and platforms that foster emotional connection and community participation — rather than simply boosting reach. Investments now prioritise memory and trust over sheer visibility. Agency Perspectives: Behaviour Drives Value Agency leaders are witnessing this shift firsthand. Siddhartha Singh, co-founder of Black Cab, notes that experience metrics are graduating from “nice reports” to real budget drivers. According to Singh, clients now prioritise platforms and content that not only capture attention but spark repeat engagement and organic conversation. “Repeat engagement is king,” Singh says, emphasising that brands want proof consumers are choosing them again — not merely scrolling past them. Behaviours like saves, shares, and unprompted discussions act as modern indicators of word-of-mouth influence, signalling deeper loyalty than raw impressions ever could. Experience in the Measurement Framework An important evolution in marketing measurement is when experience is considered. Previously, experience was often evaluated after a campaign had run — if it was evaluated at all. Today, many brands are setting experience metrics before media deployment, using them to define success right from the planning phase. This shift marks a move from retrospective evaluation to intent-led measurement. Instead of simply reacting to campaign results, brands are now intentionally designing experiences and tracking signals that indicate whether campaigns are fostering meaningful interaction, satisfaction, and ongoing engagement. From Short-Term Signals to Long-Term Outcomes Measurement experts point out that traditional performance indicators — like reach, clicks, and traffic — still matter. They function as leading indicators of initial engagement. But brand experience metrics — such as repeat behaviour, customer retention, affinity, and satisfaction — are lagging indicators that reveal whether deeper value is being built over time. Keyur Dhami, SVP at WebEngage, explains that aligning performance and experience indicators offers a holistic view of brand health. If experience falters, performance metrics tend to follow. For this reason, many brands now evaluate both together to understand not just how fast they are growing but how sustainably. The New Marketing Success Formula Marketers increasingly recognise that long-term brand building and short-term performance are interconnected. Emotional connection and experience — once dismissed as intangible — now have clear business implications. Brands that forge meaningful experiences see stronger loyalty, pricing power, and advocacy, which in turn elevate lifetime value and fuel sustainable growth. As Valani puts it: performance metrics tell us the speed of growth, but experience metrics tell us the strength of the brand — and the two are inseparable if marketers want to thrive in the next decade.

Marketing and advertising teams have long faced a persistent challenge: connecting the dots between the work that happens before a click — like ad creation and campaign management — and the results that happen after a user lands on a website. Historically, this has meant toggling between separate platforms: building and optimizing ads in one tool, then analyzing site behaviour and conversions in another. That disconnect can slow down decision-making, obscure true performance, and make it harder to understand which campaigns are genuinely driving value. To address this, Webflow — the popular website experience and visual development platform — and Google Ads have launched a native integration designed to bring advertising management and on-site analytics into a unified workflow. This move aims to reduce the friction inherent in fragmented marketing stacks and give teams a clearer, more holistic view of how their campaigns perform from impression to conversion. A Unified Workspace for Ads and Digital Experiences At its core, the integration allows marketers to build, launch, and monitor Google Ads campaigns directly within the Webflow platform using a dedicated app available through the Webflow Marketplace. Once connected, a company’s Google Ads account can link directly to its Webflow sites, enabling teams to use site assets — including images, copy, and URLs — as components of their campaigns without leaving the Webflow environment. A key advantage of this setup is that it supports Google’s Performance Max campaigns — an automated, AI-driven campaign type that leverages machine learning to optimize ad delivery across Search, YouTube, Display, Discover, Gmail, and Maps. Because Performance Max thrives on rich, accurate data signals, feeding it more complete first-party information from the site where users actually land can improve performance and bidding decisions. Rather than relying on manual export of creative assets and delayed reporting handoffs, marketers can now pair ad-level insights with real-time on-site behavior data, reducing setup time and providing faster feedback on campaign performance. Why the Integration Matters for Marketers One of the long-standing pain points in digital marketing has been tagging and tracking configuration — ensuring that conversions like form submissions, product purchases, or newsletter sign-ups are accurately linked back to the right ad campaigns. With this integration, Webflow handles much of the necessary tagging and tracking setup between Google Ads and on-site events, helping teams reduce technical overhead and focus on strategy rather than implementation. This streamlined workflow means marketing teams no longer need to rely on engineers or third-party tools to sync site analytics with ad performance. In many cases, they can see how a campaign influences site behavior — such as bounce rates, time on page, and conversion trends — all within a single interface. Early adopters are already reporting tangible benefits. For example, Abby Liebenthal, Head of Marketing at Fried Egg Golf, noted that having Google Ads accessible inside Webflow transformed how her team thinks about promotion. Rather than building ads in isolation, they could move from concept to live campaign faster and with greater confidence that their site experience matched their advertising message. A Bigger Trend: Integrated Marketing Platforms This development reflects a broader industry trend toward unified, AI-driven digital experience platforms. As artificial intelligence reshapes how audiences find and interact with brands, marketers are increasingly focused on seamless experiences that bridge the gap between paid media and owned properties like websites. AI search and automated campaign tools reward rich first-party data because better data leads to improved targeting, bidding, and personalization. By bringing site performance data — including conversions and user behavior — into marketing workflows without complex integrations, platforms like Webflow are positioning themselves at the center of performance-centered brand building. This shift also aligns with broader changes in how teams think about growth. Instead of siloed functions — where brand marketing and performance marketing operate separately — organizations increasingly measure success through unified customer experience metrics. Tools that reduce the distance between ad creation and on-site experience help teams adopt a holistic view of customer journeys, from first click to final action and beyond. Benefits and Considerations The Webflow–Google Ads integration offers several clear benefits: Reduced tool switching: Teams can build, launch, and monitor campaigns without moving between separate platforms. Faster insights: By linking campaign data and on-site behavior, marketers can spot performance issues sooner. Simplified tracking: Automated tagging and conversion measurement reduce technical setup time. Better use of first-party data: Feeding richer signals into Google’s AI campaign models can improve optimization and performance. However, integrating tools also raises considerations. Some advanced advertisers may still prefer the depth and granularity of Google’s native interface for complex campaign strategies. Others may question the risks of centralizing too much functionality in a single platform, such as increased dependency or potential blind spots if features evolve differently over time. Looking Ahead Even with these questions, the integration marks a step toward reducing the long-standing divide between advertising systems and their on-site results. For many teams — especially those in small to mid-market companies — the practical benefits of speed, integrated insights, and reduced complexity could outweigh concerns about platform consolidation. As marketing stacks continue to evolve, tools that unify campaign management with web experience and analytics will likely become more central to how teams plan, execute, and optimize growth strategies. Webflow and Google’s collaboration illustrates how bringing disparate parts of the marketing workflow closer together — particularly in an era increasingly dominated by AI and automation — can help enterprises compete more effectively in an ever-more data-driven landscape.

If your AI-generated sales emails and outreach messages feel bland, robotic or ineffective, you’re not alone. Many sales teams struggle to harness AI’s full potential—not because the tools are flawed, but because most users don’t know how to talk to them effectively. The secret isn’t in the AI tool itself; it’s in the quality of your prompts. With the right structure and precision, AI can become your smartest assistant for research, outreach and personalization at scale. Why Prompt Engineering Matters Think of generative AI as an exceptionally capable but context-less intern. It has access to vast amounts of data, yet it doesn’t know anything about your company, your product, your prospects, or your goals unless you explicitly tell it. This means the quality of what you get back directly depends on the quality of what you give it—prompt engineering is the discipline of crafting those inputs so AI delivers useful, human-like outputs that actually convert. The Four Core Components of an Effective Prompt Every effective AI prompt includes four essential elements: Goal: What exactly do you want the AI to accomplish? Examples include writing a cold outreach email, summarizing prospect insights or generating targeted research questions. Context: Provide relevant details AI needs to understand the situation. This could include your product’s value proposition, the target company’s recent developments, or the role of the recipient. Persona: Specify the voice or identity the AI should adopt—for instance, an experienced SDR, a friendly industry peer, or a senior account executive. Format: Define how the response should be structured (e.g., number of paragraphs, tone of voice, or a specific content layout). Clearly outlining these four pillars helps steer the AI and prevents generic, template-like outputs that fail to engage prospects. Common Prompting Pitfalls Even experienced users fall into predictable traps when drafting prompts: Being too vague: Commands like “write a sales email” lack direction. The AI needs specificity to tailor the response. Ignoring persona: If you don’t tell the AI who to sound like, it defaults to a generic, bland tone. A defined persona makes a huge difference in perceived authenticity. Cramming tasks together: Asking the AI to do too many things at once dilutes the output. Assign one clear task per prompt. Settling for the first draft: Treat the initial result as a draft. Refine with follow-ups like “make this shorter” or “use a more conversational tone.” How AI “Thinks” and How to Work With It AI doesn’t have instinct or real world judgement—it interprets language based on patterns in the data it was trained on. As Samuel Thomas Elliot, Senior Account Executive at Apollo Labs, notes, you have to explain what you want clearly and precisely or AI simply won’t know what you mean. One technique Elliot recommends is asking the AI to “self-reflect” before generating content. For example, include a line like: “Before you begin, list five questions you have about this request.” This prompts the AI to identify gaps in its understanding and clarify what information it needs, leading to stronger final results. This simple conversational step can reduce errors, accelerate turnaround, and help you learn how AI interprets language. Prompting Is a Skill That Improves Over Time Just like writing or sales outreach, your ability to craft effective prompts evolves with practice. Expect early results to be imperfect. With experience and iteration, you’ll develop a library of reliable prompts that save time and consistently generate high-quality AI outputs. This cumulative approach turns prompt engineering from a chore into a strategic advantage. Prompt Structures That Drive Results For outbound sales, how you organize your prompt can dramatically influence the AI’s output. The team at Apollo recommends starting with a clear structure and variables you can tweak for personalization. Here are real prompt formats used by sales teams that have seen results: Initial Outreach Prompt Act as an experienced B2B sales rep specializing in [your industry]. Write a three-paragraph cold email to [prospect name], [title] at [company]. The goal is to book a 15-minute discovery call. Context: Our product helps [your value prop]. The prospect’s company recently [trigger event]. Use a conversational tone and include one specific question about their current process. Follow-Up Prompt You’re a follow-up SDR reaching out three days after the initial email without response. Write a brief, friendly message referencing the original email’s main point. Add one new piece of value—either a relevant insight about their industry or a quick tip they can use today. Keep it under 100 words and end with a soft call-to-action. LinkedIn Connection Prompt Create a LinkedIn connection message for [prospect name] at [company]. Mention something specific from their profile. Keep the message under 300 characters, mention one thing you have in common, and avoid pitching. It should sound like a real person reaching out. These templates are starting points—meaningful customization is what makes them effective. Replace placeholders with real data and context specific to each prospect to boost relevance and reply rates. Final Takeaways Learning to write better AI prompts is one of the most impactful skills a modern sales professional can develop. It transforms AI from a novelty into a powerful research assistant and outreach engine. The key is to treat AI interactions as conversations where clarity, context and structure matter more than clever wording. With practice and refinement, you’ll consistently generate richer, more persuasive prompts that help you book meetings and build pipeline faster.

Jordan Brand is bringing a beloved piece of advertising history into the present with a modern retelling of the iconic “Genie” commercial, featuring Emmy-winning actress Niecy Nash-Betts in the starring role. The new spot — which debuted during the 2026 Grammy Awards — updates the tone and cast of the original 1991 ad while centering today’s cultural icons and broader themes of ambition, identity, and possibility. The campaign is part of Jordan Brand’s latest creative push, titled “Generational Greatness.” The original 1991 commercial became a hallmark moment in sneaker culture and advertising history. Directed with energy and flair, it featured filmmaker Spike Lee’s iconic character Mars Blackmon alongside Michael Jordan and the late Little Richard — who emerged from a lamp in a wildly memorable cameo. In that version, the magical element served as both comic relief and a celebration of sneaker culture. In contrast, the 2026 version casts Nash as the mystical guide. Rather than appearing from a lamp, she pops out of a pair of the Air Jordan 6 “Infrared” sneaker, worn by the ad’s young protagonist, Regan Aliyah. When a scuff interrupts her day, she instinctively rubs her kicks — and Nash’s genie appears, offering choices that represent aspirations and identities rather than a single granted wish. A New Narrative for a New Generation The updated narrative stays true to the playful spirit of the original — a genie granting wishes — but expands it into a broader exploration of identity, ambition, and cultural achievement. Instead of fulfilling just one wish, the genie leads the young woman through a sequence of imaginative possibilities, each anchored by figures who embody cultural influence today. Among the voices woven into the story are some of the most dynamic performers and athletes of the day, including Teyana Taylor, a critically acclaimed singer, actress, and director known for her multifaceted career. Alongside her, the campaign spotlights leading WNBA stars such as Napheesa Collier, Rhyne Howard, Gabby Williams, and Isabelle Harrison — athletes whose achievements and presence both on and off the court articulate excellence and determination. These appearances are more than cameos; they serve as visual metaphors for the kinds of lives and achievements young people might imagine for themselves. Each woman features her own “wish” scenario — a basketball career, artistic success, or cultural influence — sparking a conversation about what it means to succeed across multiple arenas. The commercial ends on a powerful note: instead of choosing just one path, the protagonist expresses that she wants “all of it”, embracing her full potential and ambitions. The genie smiles — a symbol of possibility — and the campaign’s core message, “Generational Greatness,” emerges. Cultural and Strategic Resonance The timing of the spot’s release — during the Grammy Awards broadcast, one of the most-watched cultural moments of the year — shows Jordan Brand’s intention to connect with a broad and engaged audience. The brand’s marketing strategy goes beyond sneaker drops and performance gear; it aims to embed itself within cultural conversations about identity, influence, and aspiration. By drawing on nostalgia and updating it with contemporary icons, Jordan Brand taps into both heritage and evolution. Older audiences remember the original “Genie” ad as a classic moment in sports and advertising, while younger viewers see a fresh reinterpretation that reflects diversity, ambition, and cultural swagger. This is especially significant in the context of Jordan Brand’s broader positioning. Over the past several years, the company has increasingly highlighted the influence of women in sports and culture. From product lines designed with women athletes in mind — such as the Heir Series 2, a sneaker engineered with detailed input from female pros — to campaigns that place women at the center of the narrative, Jordan Brand’s strategy reflects a shift toward a more inclusive representation of greatness. The choice to cast Nash — an actress and cultural figure with a strong voice and presence — underscores this evolution. Her genie isn’t just magical; she’s confident, articulate, and aligned with the brand’s message that greatness isn’t singular or limited. It’s multifaceted, layered, and deeply personal. Sneaker Culture Meets Storytelling At the heart of the campaign is the Air Jordan 6 “Infrared” — a sneaker with deep historical roots and meaning for collectors and fans. Originally worn by Michael Jordan during peak moments of his career, the shoe carries both nostalgia and innovation. The choice to make it the “hero” product in this narrative ties the campaign’s visuals back to the core of Jordan Brand’s identity: performance gear that transcends sport to become cultural iconography. Moreover, Jordan Brand isn’t just rehashing the past; it’s transforming it. By infusing new life into an iconic framework, the campaign connects heritage with the aspirations of today’s audience — a demographic that values authenticity, representation, and multidimensional success. A New Era of Storytelling Ultimately, the revamped “Genie” ad is more than a commercial — it’s a cultural statement. It invites viewers to reimagine familiar narratives, see themselves in expansive roles, and embrace a version of greatness that defies simple definitions. With its blend of nostalgia, star power, and contemporary relevance, Jordan Brand’s latest campaign captures the spirit of a generation that refuses to be boxed in

The long-standing belief that business-to-business (B2B) and business-to-consumer (B2C) marketing are fundamentally different disciplines is losing traction — at least in the mind of HSBC’s global head of B2B marketing, Nicole German. In her view, the core principles of effective marketing remain the same whether you’re selling car insurance to individuals or financial services to multinational enterprises: craft a clear message, deliver it to the right people through the right channels at the right time, and anchor it in strong strategic thinking. For decades, marketers have pushed a narrative that B2B and B2C require separate strategies. B2C campaigns are portrayed as emotional and brand-driven, while B2B work is often described as logical, relationship-based, and rational. But German argues that this distinction is overstated and, increasingly, unhelpful. “The practice and the craft is the same,” she says. “It’s about taking core messages to the right audience in the right channel at the right moment.” Brand Matters Everywhere One of the biggest shifts German sees is the role of brand building in B2B marketing. Traditionally seen as the bread and butter of B2C, brand has often been sidelined in corporate marketing campaigns in favor of demand generation or sales funnels. But in a world saturated with information, brand association — that is, the strength of recognition and trust a brand carries — is increasingly essential in B2B contexts as well. With the pace of technological change and emerging tools like generative AI reshaping how content is discovered and consumed, German believes that brand becomes an even more critical anchor. Without a strong brand, customers may struggle to differentiate between solutions, particularly in complex markets. “Brand association and affiliation is what really anchors trust and consideration,” she says. The Complexity of B2B Audiences The primary difference German acknowledges between B2B and B2C has less to do with marketing skillset and more to do with the complexity of decision-making. “I call it the audience ecosystem,” she explains. In B2B, marketing must engage with a web of decision-makers: primary stakeholders, secondary users, and often “hidden buyers” who influence decisions indirectly. This complexity means B2B marketers must design strategies that address multiple audiences, all with different needs and priorities — a nuance that requires precision, patience, and thoughtful storytelling. But the fundamental tools — strategic objectives, value proposition clarity, channel selection — remain the same as in B2C. AI and Measurement Evolution Technology is accelerating these changes. German highlights how AI — from prompt-driven search to agent-based tools like Copilot and ChatGPT — is reshaping the customer journey faster than any previous tech shift. These developments are fragmenting how and where customers discover and engage with content, adding complexity to measurement frameworks. But while the tools and channels have multiplied, the underlying goals have not. Marketers still aim to drive trust, consideration, and commercial impact — but now they must do it across more touchpoints and with more sophisticated measurement strategies. “We have more channels to measure. It’s getting more complicated,” German admits, emphasizing the need for marketers to adapt how they think about visibility and engagement. The Future of Marketing Teams If one truth underpins German’s perspective, it’s that adaptability is now the most valuable trait in a marketing organization. Traditional team structures — siloed by channel or campaign — risk being too rigid for a landscape that rewards speed and cross-functional collaboration. German suggests moving toward “network-based talent infrastructure,” where specialists and generalists work fluidly together in always-on, cross-disciplinary teams rather than in isolated departments. This evolution reflects broader shifts toward agile ways of working and continuous optimization over fixed campaign cycles. In her view, the future marketer blends data insight with creative instinct. Deep specialisms — such as AI innovation, personalization, and advanced data analytics — will remain important, but individuals who can combine multiple capabilities and navigate both art and science will be in high demand. Collaboration and Trust Across the Organization With technology and customer expectations changing so quickly, the role of the marketer is expanding. German underscores the importance of strong relationships not just within marketing teams, but across sales, product, and finance functions. Shared insights and coordinated strategies can drive measurable impact and clarity in customer experience. Despite progress, a recent survey shows that while many marketers enjoy a close working relationship with sales, only a minority feel fully understood by that function — highlighting that alignment is still a work in progress. Commercial Accountability and the CMO Role German also stresses that modern CMOs are increasingly accountable for revenue outcomes, not just brand metrics. This commercial orientation reflects the broader expectation that marketing should contribute tangibly to business growth, particularly in measurable and scalable ways. She describes her role as a “voice of the customer” — which requires fluency in data, operational leverage, and creative messaging. From engaging with executives across functions to influencing product strategy and customer experience, the CMO role today is multifaceted and deeply embedded in business decision-making. Looking Ahead Ultimately, German’s perspective reframes the B2B vs. B2C debate. Rather than two separate disciplines, she sees a continuum of marketing practice that adapts core principles to different customer problems and purchase complexities. With brand building, AI, and cross-functional collaboration rising in importance, the most successful marketers will be those who can blend strategic depth with nimble execution — no matter who they are targeting.

OpenAI, the pioneering artificial intelligence company behind the hugely popular chatbot ChatGPT, has announced a major shift in its product strategy: the introduction of advertisements within its AI service. This move marks a significant evolution in how the company plans to sustain and expand the platform’s global reach, especially for users who use ChatGPT without paying for premium subscriptions. For years, ChatGPT has been known as an ad-free environment where users could ask questions, seek information, draft text, or brainstorm ideas without encountering commercial interruptions. But with soaring operational costs tied to AI infrastructure—servers, specialised chips, and the massive computing power required to run large language models—OpenAI is now experimenting with ads as a new monetisation tool. How and Where Ads Will Appear Under the planned rollout, advertisements will first be tested with logged-in adult users in the United States on the free ChatGPT tier, as well as on the newly introduced ChatGPT Go subscription, which costs US $8 per month. These ads won’t be embedded within the chatbot’s core conversational responses. Instead, they will be clearly labelled as sponsored content and shown below ChatGPT’s replies when relevant to the user’s query. For example, if a user asks for suggestions on fitness equipment, the response will include the chatbot’s answer first, with an ad for a related product placed underneath it. According to OpenAI, these ads will be contextually relevant based on the conversation, rather than random or untargeted banners. OpenAI’s Promises on Privacy and Integrity A central concern for users and observers alike is whether advertising might alter ChatGPT’s behaviour or compromise privacy. OpenAI has been emphatic that ads won’t influence the chatbot’s responses, and that the core answer you receive will remain focused on being helpful and unbiased. Ads will be shown separately from the answer, so users can distinguish between AI-generated content and commercial content. OpenAI also insists that user conversations won’t be shared with advertisers, and no personal chat content will be sold for ad targeting. Users will have control over how their data is used, including the ability to turn off personalised advertising and clear any ad-related data at any time. Additionally, the company plans to exclude ads in situations involving sensitive or regulated topics—such as health, mental health, and political discussions—and will not serve ads to accounts known or predicted to belong to users under the age of 18. Who Will and Won’t See Ads Not all ChatGPT users will be exposed to ads. Those who subscribe to higher-tier paid plans—such as ChatGPT Plus, Pro, Business, and Enterprise—will continue to enjoy an ad-free experience. This contrasts with the free version and the budget Go tier, which will include ads as part of their offerings. This tiered approach reflects OpenAI’s shifted revenue strategy: subscriptions will continue to be a core source of income, but advertising is now being deployed to diversify revenue and help subsidise access for users who do not pay. With an estimated 800 million weekly active users worldwide, but only a small fraction of them paying subscribers, the company sees advertising as a way to harness that vast audience without charging everyone directly. Industry Context and Competition This pivot to ads comes amid intensifying competition in the AI space. Tech giants like Google have heavily integrated AI into their existing products and services—many of which already include advertising ecosystems of their own. OpenAI’s strategy can be seen as part of its effort to stay competitive with rivals such as Google’s Gemini and Anthropic’s Claude, which also aim to draw in large user bases with powerful AI capabilities. Interestingly, Google has publicly stated that its own chatbot, Gemini, will not incorporate advertisements in the near future, citing the importance of preservation of user experience. This highlights a strategic contrast: OpenAI is leaning into ads to fund growth, while others in the industry are choosing to keep their AI tools ad-free for now. User and Expert Reactions Reactions to the news have been mixed. Some industry analysts argue that advertising could help OpenAI create a more sustainable business model without burdening all users with subscription fees. Others warn that even clearly labelled ads in an AI chatbot could blunt user trust over time, especially if users begin to question whether commercial motives are subtly influencing the service. There’s also discussion around the type of ads, how often they’ll appear, and how advertisers will be selected. OpenAI has not yet disclosed detailed plans on ad frequency, pricing models for advertisers, or the specifics of how relevance will be determined beyond conversational context. These details will likely emerge as the U.S. test phase unfolds. Looking Ahead While ads represent a significant change for the ChatGPT experience, OpenAI stresses that this is still a testing phase and will evolve based on user feedback. The company maintains that its long-term mission—to ensure advanced AI benefits humanity—remains unchanged, and that ads are a means to make access more widely available while preserving quality for those who pay for premium tiers. As the tests roll out in the coming weeks, all eyes will be on how users react to this new blend of AI and advertising, and whether it sets a precedent for the future of monetising generative AI tools.

In today’s hyper-competitive B2B environment, marketers face a dual challenge: reaching niche professional audiences and doing so efficiently and personally. Traditional cold outreach and manual networking no longer scale effectively. As a result, many organisations are turning to LinkedIn automation and advanced marketing tools to streamline workflows, personalise engagement, and accelerate lead generation in a measurable way. LinkedIn — with its professional audience of more than 900 million members and deep business intent signals — has become a cornerstone of B2B marketing. But without automation, meaningful engagement consumes enormous amounts of time and effort. Automation tools aim to reduce this burden while helping teams focus on high-value strategy and relationship building. Why Automation Matters in B2B Marketing At its core, LinkedIn automation helps marketing teams tackle scale and consistency. B2B marketers often need to identify, connect with, and nurture dozens — or even hundreds — of decision-makers across industries. Manual outreach simply can’t keep pace with opportunity available on the platform. Automation enables outreach at scale while maintaining a level of personalised messaging that’s difficult to achieve manually. For example, automating connection requests, follow-ups, and content posting saves marketers significant time. One common automation tactic involves sending targeted connection requests based on criteria such as job title, company size, or industry sector. When users accept, automated but personalised initial messages and scheduled follow-ups help keep conversations fresh without constant manual effort. Key Benefits of LinkedIn Automation Tools 1. Scalability and Efficiency: LinkedIn automation enables B2B teams to scale prospecting efforts far beyond manual limits. Rather than spending hours each week searching for leads and messaging, marketers can define target segments once and let tools execute repetitive tasks. This not only speeds up outreach but helps ensure no promising lead is forgotten. 2. Consistency in Follow-Ups: Consistent follow-up is crucial in B2B sales. Automated systems can schedule follow-up messages based on engagement triggers, such as a connection acceptance or profile visit, reducing the risk of losing momentum with prospects. 3. Personalisation at Scale: Today’s automation tools increasingly use AI to insert personalised elements — like job titles, names, and company info — into messages, making outreach feel more human. Some advanced tools can even vary message timing, length, and tone to mimic authentic engagement patterns and avoid spammy behaviour. 4. Enhanced Targeting and Insights: Advanced LinkedIn automation tools often integrate with LinkedIn’s Sales Navigator filters, letting marketers focus on highly specific audiences based on geography, industry, role, and engagement behaviour. Analytics dashboards provide insights into campaign performance, including connection acceptance rates and message engagement, enabling optimisation over time. Popular LinkedIn Automation Tools and Capabilities A variety of tools support various aspects of LinkedIn automation. Platforms like Waalaxy let users create automated campaigns, manage sequences, enrich CRM data and synchronise activity — all designed to reduce manual workload and track ROI. Other tools, including Octopus CRM, provide capabilities such as automated connection requests, bulk messaging, scheduled follow-ups, and analytics reporting — helping teams manage larger outreach volumes with less friction. AI-enhanced platforms are emerging as well, adding behaviour-based timing and compliance monitoring to keep account activity within LinkedIn’s usage limits and reduce the risk of flags or restrictions. These systems adjust outreach flows dynamically, lowering send volumes when patterns could trigger LinkedIn’s anti-spam detection. Challenges and Risks to Consider Despite the benefits, LinkedIn automation isn’t without challenges. LinkedIn’s terms of service prohibit some forms of third-party automation, and overly aggressive use can lead to account restrictions or bans. Impersonal or poorly targeted automated messages can also backfire, damaging brand credibility and turning prospects off. Too much automation can erode the human touch that’s essential in professional networking — something many marketers struggle to balance. Another risk is account safety. Marketing teams must avoid patterns that look robotic, limit daily outbound request volumes, and ensure messages are genuinely relevant and bespoke, or they could trigger LinkedIn’s internal protections. Best Practices for LinkedIn Automation in B2B To maximise the advantages while mitigating risk, B2B marketers should adopt several best practices: Blend Automation With Human Touch: Use automation for repetitive tasks like posting, scheduling messages, and follow-ups, but always weave in genuine engagement. Human review and personalised additions boost authenticity and reduce the “spammy” feel of fully automated sequences. Define Clear Targeting Criteria: Start with a well-defined ideal customer profile. Automation works best when it focuses on high-quality prospects rather than casting a wide net. Tools that integrate Salesforce, HubSpot, or CRM data help align LinkedIn outreach with broader marketing and sales strategies. Monitor KPIs and Adjust: Track acceptance rates, message engagement, and lead conversion metrics. Use these insights to refine campaign messaging, get a sense of what works, and cut out what doesn’t. Stay Within Platform Rules: Limit daily connection requests and outreach volumes to what feels natural for human behaviour. Randomising message timing and avoiding mass automation spikes help keep activity under the radar and preserve account integrity. The Future of LinkedIn Automation As LinkedIn automation tools become more sophisticated, they’re likely to blend deeper AI intelligence with compliance-aware behavioural models. This will help B2B teams maintain high outreach volumes without compromising authenticity or risking platform penalties. Moreover, integrating automation with broader marketing stacks — including email, CRM, and ad retargeting — will create a more seamless omnichannel outbound pipeline that drives both efficiency and quality engagement. In conclusion, when used thoughtfully and responsibly, LinkedIn automation and advanced marketing tools can revolutionise B2B workflows — enabling scale, enhancing personalisation, and freeing marketing teams to focus on strategic relationship building that drives long-term business growth.

In today’s hyperconnected digital landscape, social media is both a powerful tool and a potential minefield for brands. A single post can generate thousands of likes, shares and comments — or it can ignite a reputational crisis that reverberates across your industry. According to Jonathan Bertrand, founder and CEO of the Social Media Research Institute, many organizations overlook the inherent risks of social platforms, failing to prepare for the harm that will happen if they’re unready. Protecting your brand on social media isn’t optional — it’s an essential part of modern business strategy. From employee-generated content to crisis response planning, a comprehensive approach can help minimize damage and safeguard your reputation. The Cost of a Single Post Social media can be unpredictable. What starts as an innocent post can go viral for all the wrong reasons. Bertrand highlighted an incident where a flight attendant’s dance video in company uniform was deemed unprofessional. The fallout wasn’t just embarrassment: it resulted in disciplinary actions and significant financial costs for the airline. These mistakes often point to gaps in training and unclear social media policies rather than individual malice. This underscores a critical truth: social media posts aren’t ephemeral — they can live forever online, resurface through screenshots and continue to impact your brand long after the original post disappears. Establish Clear Policies One of the first steps in protecting your brand is creating robust social media guidelines. These policies should define: Who is authorized to post on behalf of the organization What type of content aligns with your brand values Rules around personal accounts mentioning the company Protocols for responding to negative or sensitive topics Policies should be practical, accessible, and regularly updated as platforms evolve. Involving representatives from different departments when drafting these policies can strengthen buy-in and reduce the risk of unapproved content slipping through. Training matters just as much as policy. Routine social media training ensures team members understand not just what they’re allowed to post, but why these rules exist. This proactive education helps reinforce consistency and reduces the likelihood of problematic posts. Secure Your Accounts Protecting your brand’s social presence starts with securing your accounts. Weak or reused passwords are an open invitation to hackers who can hijack your channels, spread misinformation, or damage your brand’s identity. Best practices include: Using strong, unique passwords with a mix of characters Implementing multi-factor authentication Storing credentials securely via reliable password managers Limiting administrative access to trusted team members only Third-party applications can also introduce vulnerabilities. Before connecting any tool to your social accounts, verify that it uses secure API connections and comes from a reputable provider. Each connection is a potential attack point — fewer integrations mean fewer risks. Monitor & Respond Proactively Brand monitoring is your early warning system. With the right tools, you can track mentions, sentiment, and even unauthorized uses of your name or logos. Automated detection systems can alert you to impersonators, phishing scams, or fraudulent profiles before they spread widely. Take swift action against fake accounts, scam links, or misleading posts. Scammers often recreate pages or switch tactics quickly, so brands must continually monitor platforms and refine detection protocols to stay ahead of evolving threats. Deal With Impersonation & Scams Brand impersonation isn’t rare. Fake profiles using your name and imagery can mislead customers, promote bogus offers, and weaken trust. Scammers sometimes use your brand’s reputation to push phishing schemes or counterfeit products. To reduce these threats: Register your brand on relevant platforms as early as possible Apply for verification badges where available Regularly search for imitation accounts or fake pages Report and take down fraudulent content swiftly Verification not only adds legitimacy but also reduces the chance of impersonators gaining traction. Build Trust Through Engagement Brand protection isn’t just defensive — it’s also about building a positive presence. Active engagement with your audience — responding to comments, moderating feedback, and sharing user-generated content — enhances credibility and strengthens trust. Encouraging satisfied customers to leave authentic positive reviews can also shift the narrative when your brand faces criticism. However, handle negative feedback judiciously. Not every negative comment should be erased — doing so can create a narrative of suppression. Instead, categorize feedback and use moderation policies to remove hate speech or spam while acknowledging legitimate critiques. Prepare for a Crisis Even with the best safeguards, crises can occur. That’s why every brand should have a social media crisis plan — a predefined strategy for responding to emergencies. This plan should include roles, communication protocols, escalation paths, and post-incident reviews to refine your approach over time. A well-prepared team reacts faster, minimizes harm, and can often transform potential disasters into opportunities for transparency and growth. Conclusion Social media offers boundless opportunities to connect with audiences, build brand personality, and drive business growth. But without intentional strategy, it can also expose your organization to real risks — from security threats to reputation damage. Protect your brand by combining strong policies, secure practices, vigilant monitoring, and thoughtful engagement. By thinking before you post — and preparing for what comes after — you ensure your brand’s message isn’t just heard, but trusted.

Balaji Wafers, one of India’s most recognisable homegrown snack brands, has announced a strategic partnership with Creativefuel, appointing the agency as its social and digital communications partner for the year 2026. The collaboration marks a notable move in the fast-moving consumer goods (FMCG) sector, where legacy brands are increasingly embracing digital platforms to deepen audience engagement and adapt to evolving consumer behaviours. The year-long mandate will see Creativefuel take charge of Balaji Wafers’ social media strategy, content creation, digital storytelling, and community engagement. This signals a broader shift among established FMCG companies from relying solely on traditional advertising to making social platforms a cornerstone of their brand-building efforts. Why the Digital Push Matters Balaji Wafers has built a strong presence in the Indian market over decades, particularly in western regions like Gujarat, Maharashtra and Rajasthan, where it holds a major share of the savoury snacks segment. Yet, with digital consumption patterns rising especially among younger audiences, the brand recognises the need to amplify its online presence as a complement to its dominant physical retail footprint. Social media has transformed how brands connect with consumers — shifting from one-way broadcast messaging to ongoing digital dialogue. Platforms such as Instagram, YouTube, X and Facebook are no longer just extensions of TV or print campaigns; they are media ecosystems in their own right, demanding native content and community-first engagement strategies. Balaji’s partnership with Creativefuel aims to tap this potential, augmenting its traditional marketing engine with consistent and culturally relevant digital narratives. Scope of the Partnership Under the agreement, Creativefuel will spearhead the development and execution of content tailored to various social channels. This includes crafting platform-native storytelling that resonates with digital audiences, leveraging trends and behaviours unique to each community. The agency’s responsibilities will span everything from conceptualising campaign ideas to managing ongoing audience interactions and community-led content initiatives. At its core, the collaboration aims to build a consistent and audience-first digital narrative that honours Balaji Wafers’ rich brand legacy while also appealing to a new generation of consumers who seek authenticity, relatability and cultural relevance in online content. Statement from Balaji Wafers Leadership Commenting on the partnership, Sandeep Roy, Marketing Lead at Balaji Wafers, said the brand has always prioritised staying close to its consumers and evolving with changing trends. He emphasised that Creativefuel’s deep understanding of digital culture and audience behaviour was a key factor in selecting it as a partner for the journey ahead. Roy expressed confidence in the agency’s ability to help Balaji Wafers build a meaningful and consistent digital presence across platforms in 2026. This focus on consumer connection aligns with Balaji Wafers’ broader growth strategy: as the brand expands beyond traditional retail touchpoints, it aims to harness digital channels not only for visibility but also for sustained consumer loyalty and engagement. Creativefuel’s Role and Expertise For its part, Creativefuel brings experience in building “culture-led” digital ecosystems for large consumer brands. The agency’s track record in working with scalable, always-on digital strategies played a significant role in its selection. According to Creativefuel leadership, the mandate reflects confidence in the agency’s ability to partner with legacy brands at scale and influence long-term digital transformation efforts. Creativefuel’s mandate with Balaji Wafers is part of its broader push to expand its footprint across India’s digital marketing landscape. In recent months, the agency has also acquired digital communities and intellectual properties to deepen its cultural resonance and creative capacity — moves that reinforce its ability to create engaging, culturally attuned content for varied audiences. Industry Trend: Digital Comes First Balaji Wafers’ decision is emblematic of a wider trend in the FMCG sector. Historically, brands in this category relied heavily on traditional media such as television, print and outdoor to communicate with consumers. However, with the rise of digital natives and changing consumption habits, social media has increasingly become a primary brand-building platform rather than a mere support channel. Leading consumer brands across categories are now investing in digital storytelling formats — from short-form video to interactive community content and influencer collaborations — recognising that these formats drive deeper engagement and sustained attention far beyond conventional advertising bursts. Balaji Wafers: Legacy Meets Digital Innovation For Balaji Wafers, the Creativefuel partnership comes at a time when the brand continues to consolidate market leadership while exploring growth opportunities beyond its stronghold regions. Known for offering quality snacks at compelling value, the brand has cultivated deep consumer loyalty over decades. The company’s shift toward digital storytelling can be seen as a continuation of this ethos — using modern channels to reinforce brand values and consumer connection. By combining its traditional strengths with dynamic digital narratives, Balaji Wafers aims to stay relevant not just in existing markets but also among digitally savvy consumers across age groups and geographies. Looking Ahead As the year unfolds, Creativefuel will play a pivotal role in shaping Balaji Wafers’ digital identity and ensuring that its social media strategy drives both engagement and brand affinity. For legacy FMCG brands like Balaji Wafers, the shift toward strategic digital communication reflects an important evolution: embracing digital not as an add-on, but as a core pillar of brand growth in an increasingly connected world.

Yahoo, one of the earliest internet brands, is embarking on a new chapter in its long history by modernizing its brand voice to resonate with today’s internet users. After more than three decades online—and a reputation for quirky and irreverent marketing—Yahoo’s leadership is intentionally blending nostalgia with contemporary marketing strategies to make the brand feel fresh without losing its distinct personality. For Yahoo’s Chief Marketing Officer, Josh Line, this effort isn’t about reinventing the brand from scratch. Instead, it’s about evolving the brand’s identity in ways that honor its heritage while speaking authentically to modern audiences. Yahoo’s tone has always stood out in the tech world: a mix of humor, self-awareness, and playful unpredictability that helped define early digital culture. From its memorable early Super Bowl ads to iconic branding like the Yahoo yodel and its bright purple logo, the company has a deep well of cultural capital to draw from. Line believes that this unique voice remains a strategic asset — not a relic to retire. Rebooting Social Presence: A Clean Slate One of the most visible steps in Yahoo’s brand evolution began with a bold move on social media. In April 2024, Yahoo wiped its social accounts clean — essentially giving itself a fresh slate on platforms that have become central to how brands connect with audiences today. A few months later, in June, Yahoo reintroduced itself with a minimalist post: a rooster paired with its classic yodel and the simple caption “Hello.” This brief, playful moment signaled a return to the brand’s roots while hinting at a new direction. The yodel — once a hallmark of Yahoo’s audio identity — has particular significance in this revival. Line has emphasized that this distinct sound is likely to remain a core part of the brand’s expression because it encapsulates the spirit Yahoo wants to carry forward: fun, recognizable, and just a bit unconventional. Rather than rushing to fill its feeds with content, Yahoo took a test-and-learn approach over the next six months, experimenting with different types of posts and interactions to understand what kind of voice would resonate with the current social audience. Line notes that crafting a social strategy for an internet brand — especially one as established as Yahoo — isn’t always straightforward. While many consumer brands dominate conversations online, tech brands often struggle to define social personas that feel both genuine and impactful. Spotlighting the “Good Pockets of the Internet” Out of this period of experimentation emerged a guiding ethos for Yahoo’s social presence: “shine a light on the good pockets of the internet.” Rather than simply broadcasting messages about its offerings, Yahoo aims to act as a curator, highlighting interesting, funny, or unexpected corners of online culture, and doing so in a voice that feels distinctively Yahoo. This philosophy influences not just what Yahoo posts, but who it partners with. The brand has engaged with a number of social-forward or culturally timely partners — some of which might seem odd at first glance. For example, collaborations have included Liquid Death’s fantasy football stunts, quirky products like “keyboard oil” from Graza, and even merchandise that pokes fun at the idea of an “anti-email club.” The goal in these cases isn’t shock value for its own sake, but to find creative ways to express Yahoo’s core personality while engaging audiences in unexpected ways. And the brand has also embraced light-hearted creativity with its own content: a grass keyboard gag for April Fools’ Day is one such example that showcases Yahoo’s playful side while inviting conversation. Beyond Social: Bold Campaigns and Broader Reach While social media has been a key laboratory for refining Yahoo’s updated voice, the brand’s broader marketing efforts are equally important. Line stresses that the goal is not to lean into gimmicks for their own sake, but to communicate what Yahoo offers in ways that feel relevant, useful, and entertaining to people who might not otherwise think of Yahoo as part of their daily lives. One notable campaign that illustrates this balance is Yahoo’s holiday marketing effort featuring TV personality Dylan Efron as a humorously muscular Santa. The ads blend absurd humor — like workout puns and a shirtless Santa — with clear messaging about Yahoo’s product features, such as email tracking. By anchoring the fun in actual product benefits, Yahoo is exploring how far its creative tone can stretch while still driving meaningful engagement. Similarly, Yahoo’s regional Super Bowl spot from the previous year starring Bill Murray served as another high-profile moment showing how the brand can extend its voice into traditional advertising. These campaigns are part of a deliberate strategy to move beyond purely social channels and make a broader splash in the marketplace. Looking Ahead: A Step Change in 2026 According to Line, 2025 was the year Yahoo reestablished a footing in public view. It was about experimentation, exploration, and laying the groundwork for a more assertive presence. In 2026, Yahoo plans to elevate its brand voice even further, rolling out larger-scale campaigns and communicating more consistently across channels with bigger creative swings. This includes not only social media and advertising, but the ways in which the brand intersects with culture, audiences, and the evolving digital landscape. In an era where many legacy tech brands struggle to remain relevant to new generations of users, Yahoo’s strategy illustrates how a company can honor where it came from while boldly redefining where it’s going. By leaning into its quirks, doubling down on creativity, and staying grounded in purpose, Yahoo hopes to prove that a refreshed brand voice can be a powerful engine for renewed relevance in the digital age.