EA Advertising is a new unit that lets brands appear directly inside gameplay through real-time placements like stadium signage, scoreboards, overlays, and in-game challenges. The system runs across EA's 120M+ monthly active users, with EA SPORTS FC alone generating over 1B matches per month. A new ad server enables privacy-safe targeting, alongside partnerships for live events and community activations.
This proposal argues Anthropic could replicate plays like Michelin and Guinness by using Claude to programmatically generate millions of free tools, calculators, and widgets that capture search demand. By making them embeddable, every use becomes a distribution channel, pushing users back to Claude when they want to customize. Combined with continuous iteration and user input, this “artifact gallery” could drive massive organic traffic and convert it into signups at scale.
AI isn't replacing marketers, it's flattening skill gaps so experience matters less. What took a decade to learn is now cheap and accessible, making younger creators instantly competitive. Their edge isn't tools, it's instinct and audience fluency from growing up online. They take more risks and ship without overthinking. Experienced marketers get slowed down by caution. The takeaway is to unlearn that hesitation and prioritize hiring for hunger and native internet instincts over experience.
The list includes Jay Schwedelson on testing your way to standout results, Erika Heald on AI content workflows, and Austin Kleon on creative unlearning.
Fox's acquisition of Roku combines content with CTV OS and first-party data from over half of US broadcast homes, signaling streaming and live sports dominance.
Sprout Social's 2026 Social Intelligence Report [5] is here to help social marketers change that - and drive growth by tapping into the conversation when it's actually happening.
Bot traffic has surpassed human traffic online for the first time. It accounts for about 57% of web page requests on Cloudflare's network. Agent and agentic browser traffic is up nearly 8,000% in 2025. Automated traffic is growing about 8X faster than human traffic. AI agents are now a primary audience layer. Measurement now requires citation rates, AI share of voice, and referral traffic from AI platforms.
Marketing teams are becoming leaner, more generalist, and more like creative studios than production pipelines. AI handles execution while humans focus on strategy, narrative, and taste. Teams are moving beyond using AI to speed up workflows toward rethinking systems. Differentiation comes from doing less and prioritizing curated signals over volume. AI search is reshaping discovery through structured data, proof, and cross-channel presence.
B2B deals are more likely to close when the purchase feels safe and defensible, not just superior. About 40% of deals stall because buying groups cannot agree, and 81% go to vendors already familiar to most stakeholders. Finance, legal, and procurement teams control roughly 50% of decision influence, making cross-functional trust critical. Buyers are 3X more likely to choose a heavily recommended vendor than one with a better product or lower price.
Daniel Bustamante explains how a dormant 50,000-person email list generated $150K in a 7-day launch using a simple three-email weekly system. The cadence includes a Monday curation email, a Wednesday deep dive, and a Friday story or case study to build trust. He covers how email and social work together, structuring lead magnets, and balancing nurture with sales in welcome flows. He also shows how AI tools like Claude help streamline launch campaigns.
A creator built a local LinkedIn content system in a weekend that replaces multiple SaaS tools and cuts daily workflow from 3 hours to about 20 minutes. The tool uses engagement data to surface trending topics, track content pillars, suggest reposts, and identify audience signals for outreach. It also generates adjacent content angles from past high performers and ensures balanced coverage across themes. By replacing feed scrolling with signal-based inputs, it streamlines ideation and distribution.
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This free course explains how AI search engines decide what to cite and recommend. It also covers competitor gap analysis and prompt research for AI discovery. It shows how to structure content for citation and build brand mentions across the web. The course has 12 lessons and takes about an hour and 26 minutes to complete.
A GitHub repository acts as a living brain, using markdown files to store priorities and decision logs. A background file holds key context while a journal file forces regular prioritization. A Claude Code routine runs in the cloud each night, scanning Slack, email, calendar, and meeting transcripts. It then drafts replies, updates tasks, surfaces summaries, and writes changes back to GitHub. Notion is used for drafting and editing, Slack is used for notifications through a custom bot, and the whole setup runs continuously without manual prompts.
We're hiring a senior PMM to own product marketing at TLDR. You'll define our positioning, build out sales enablement, and lead every launch. Learn more [17].
Feedback loops rely on real critique and experimentation. These systems break when feedback is unstructured or detached from decisions. AI increases noise by producing abundant low-value feedback at scale. Teams also move away from direct cross-functional conversations. As speed becomes the priority, learning slows and signals get suppressed. Without strong feedback systems, companies drift and corrections become slower and more expensive.
TikTok's 2026 NewFronts framed the platform as a sequential storytelling environment that mirrors television with new ad formats. Prime Time lets brands serve up to three ads within a 15-minute high-engagement window, while TopReach bundles the first app-open and in-feed placement to capture attention during cultural moments. With only 26% of marketers using TikTok campaigns, the platform argues for greater budget reallocation from linear and streaming TV.
Negativity bias makes difficult customer experiences more memorable than positive ones. Unacknowledged friction therefore shapes long-term brand perception. Acknowledging complexity, even without fixing it, reduces resistance and builds psychological safety. Validation changes how friction is remembered by the customer. Embedding this across onboarding, digital flows, and automated communications turns acknowledgement into a journey-wide loyalty strategy rather than a support tactic.
FIFA restricts use of “World Cup”, “FIFA”, “FIFA World Cup 26”, logos, slogans, mascots, and the trophy in marketing, so use generic terms unless licensed.
Gen Z is securing board seats at companies, trading experience and mentorship for influence and insight into younger consumers that older boards often miss.
Anthropic is using policy leadership as a brand strategy to position itself as the responsible AI company before AI-driven job disruption becomes a larger public issue. It has published a paper that outlines a three-stage response starting with wage insurance, retraining, and job matching, then expanding to public benefits and unemployment support, and eventually considering AI taxes, digital dividends, and universal basic income if AI broadly replaces human labor. The proposal aims to shape regulatory discussions early and build trust with enterprise buyers, investors, and governments. It could also provide a defense against future criticism by showing that it publicly acknowledged the risks and proposed solutions before large-scale job losses occur.
53% of Americans worry AI could put them or someone in their household out of work. The same survey finds that 73% say they are concerned about AI's rising use overall, up from 68% in 2023. Concern is higher among Democrats at 61% versus 47% of Republicans. The poll also finds 50% of college graduates use AI regularly, compared with 34% of non-graduates, highlighting a divide between adoption and job-loss anxiety.
Most brands approach social as a distribution channel for work they've already decided is good. Loewe approached it as the thing that makes audiences want to pay attention to the work in the first place. An iPhone video, pushed through heavy internal resistance, generated 40M organic views because audiences were saturated with content that looked expensive. Getting good content approved is usually more difficult than creating it, and the brands with the strongest social presence tend to be the ones that have built enough internal trust to move fast on a vibe without a strategy document to justify it.
A common funnel improvement is splitting checkout into two steps, starting with an email opt-in before redirecting to payment. Once users begin checkout but do not complete it, an abandoned cart email sequence follows up to recover lost sales. This setup consistently improves conversions, typically increasing them by 10% to 20%, depending on traffic quality. It also runs as an evergreen system that continues to lift performance over time without ongoing manual effort.
OOH (out-of-home) works when it fits your audience, business model, creative strengths, and budget, not when it copies what competitors are doing. Billboards are expensive awareness tools that create broad, shallow awareness. Use them only when they can reach a concentrated or large audience and support the campaign across channels. A single Bay Area billboard can cost $20,000 to $50,000 per month, and meaningful visibility often requires multiple placements, so you need a clear goal and must weigh the opportunity cost against other channels. The strongest OOH campaigns pair bold creative with coordinated efforts across LinkedIn, events, product launches, and sales activity so the brand feels omnipresent.
Most brands will spend their initial budget figuring out basics. You can get a head start by joining Evertune's free webinar [13] on June 17 to learn how to structure campaigns, write context hints, and use your organic AI visibility data to build a smarter paid strategy. Save
A 6-week guided challenge running from June 15 - July 26 for B2B marketers to build an authentic Reddit presence and improve AI search visibility. Participants will move from observing communities to engaging in discussions and creating original posts, with structured guidance and community support. It costs $29 and includes a curriculum, tracking tools, and feedback.
LinkedIn is launching a Creator Marketplace to connect creators with brands for partnerships like ads, speaking gigs, and collaborations. Access is invite-only based on content quality and audience fit. Invited creators opt in via a monetization tab, making their profiles discoverable to brands. Brands can then reach out directly to arrange deals.
Hosted by Josh Lowman from Goldfront, this is a 30 minute live online session on June 17. It will cover how he rebuilt his agency around AI. He'll walk through the internal systems he uses, including agents, dashboards, and client tools. He will also share what's working and what still needs improvement.
We're hiring a senior PMM to own product marketing at TLDR. You'll define our positioning, build out sales enablement, and lead every launch. Learn more [18].
AI creates the most value for product marketers when it automates repetitive execution work and supports thinking, not when it replaces judgment, storytelling, strategy, or stakeholder management. PMMs should use AI for tasks like content repurposing, research summaries, and administrative work so they can spend more time on customer insights, positioning, and cross-functional influence. Identify recurring tasks where the quality depends on execution rather than judgment, then build simple workflows around them instead of chasing complex agents or tools.
Entry-level marketing roles are being eliminated faster than the industry is reckoning with, as automation removes the task-based work that once served as the training ground for early-career marketers. The skills AI cannot replicate, judgment, creativity, and relationship-building, are precisely the ones best developed on the job, making the pipeline problem a long-term quality problem as much as a youth employment one. Agencies keeping early-career programs open argue the fix is redesigning how junior talent is assessed and deployed rather than waiting for economic conditions to improve.
Most teams think agentic AI will help them, someday... But as data from Vidyard's new Video in Motion benchmark report [5] shows, it's making a difference today:
Amazon has expanded its CTV advantage by combining commerce-based targeting with premium streaming inventory and new B2B audience data. Advertisers can now use Amazon shopping and intent signals to target Netflix viewers, which turns CTV into a more measurable channel for brands that sell on Amazon by linking impressions to product views, add-to-carts, and purchases. Amazon also integrated LinkedIn's 1+ billion member dataset into its DSP, which gives B2B marketers access to role, seniority, and industry targeting on streaming TV at scale. The move strengthens both audience precision and attribution at a time when streaming accounts for 38% of TV viewing in the UK and US programmatic CTV spending has reached $37 billion.
A field experiment involving roughly 1.2 million Instacart shoppers found that proactively warning customers about low-stock items increased spending 5.8% over six months, driven primarily by higher order frequency rather than larger basket sizes. Warned shoppers were 25% less likely to select the flagged item, switching to better-stocked alternatives instead, which reduced out-of-stock refunds by 2.6%. The findings reframe stockout warnings from a conversion risk into a trust signal, with customers returning more often to platforms they perceive as reliable.
YouTube has become a high-intent B2B acquisition channel, not just an awareness platform, and many SaaS brands overlook organic video opportunities that compete directly with expensive paid search. Analysis of 8,566 SaaS keywords found that YouTube appears on page one for 80.2% of "demo" searches, along with roughly 20% of "review," "vs," and "best" queries where buyers actively evaluate vendors. The strategy is to prioritize YouTube content for demos, comparisons, reviews, trials, and educational searches, then align video topics with the same high-value keywords targeted in SEO and Google Ads. Brands can reduce dependence on CPCs that often range from $20 to $49 by creating videos that rank organically and continue generating traffic over time. The biggest opportunity lies in specific, long-tail content because YouTube gains visibility again on longer searches that mirror the detailed queries increasingly generated by AI search tools.
Jack Appleby's dual-track content pillar system separates proven ideas from experimental ones. Structure 60-80% of content around “tried and true” pillars based on past performance and established industry patterns. Reserve 20-40% for “trying new” pillars that are still on brand but more exploratory. This framing reduces perceived risk by guaranteeing stable performance from core content while justifying creative testing. Over time, evaluate results quarterly and promote any successful experiments into the core pillars, then refresh the experimental set to keep testing new directions.
Prime Day on June 23 is a narrower affiliate opportunity than it once was, with AI Overviews absorbing commercial search intent. Publishers already in the space should prioritize hub pages with clean internal linking, granular keyword monitoring as interest typically peaks around 10 days before the event, and live updates that keep content fresh during the sale itself. For those without an established affiliate vertical, building one around a single tentpole event is not a viable strategy.
The truth? It's a long game. Gartner's proprietary tools, benchmarks, and human-led intelligence – including 4K+ AI use cases and case studies – are proactively guiding clients through every step of their AI journeys. See how in the 2026 Hype Cycle for Agentic AI