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A library of copywriting templates, prompts, and AI workflows built to create content faster. It includes 500+ examples, 70+ prompts, 70+ Claude skills, and 63 techniques across 10 categories. It's available via a one time purchase with lifetime updates.
Performance Max has long defaulted to easy conversions over incremental ones, routing spend toward branded search, site visitors, and existing buyers rather than true prospects. Google's recent first-party audience exclusions change this for the first time. Stacking brand exclusions, audience exclusions for site visitors and email subscribers, Customer Match exclusions for existing purchasers, and a "new customers only" bidding mode can finally push PMax into prospecting mode. Reported ROAS will drop, but the new-to-returning customer split will more accurately reflect what's actually being acquired.
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 code generation has gone mainstream in marketing fast. 41% say it's already embedded in workflows and 70% report structured adoption, even though most have used it for under a year. Teams are using it mainly for behind-the-scenes work like automations and integrations, while only 17% have built customer-facing tools. The catch is skill gaps and training, which only 21% prioritize, yet those who invest there see higher confidence and better results.
Martech spending hit a 5-year low as a share of marketing budgets in 2026, dropping to 19% from 27% in 2021, even as 62% of CMOs planned to invest more in marketing technology. Paid media filled the gap, reaching a five-year high of 31% of marketing expenses, driven by AI-powered targeting and automated bidding. Performance declined across every major objective year-over-year, with 46% of CMOs exceeding campaign impact goals this year versus 58% last year, and 62% say missing this year's growth targets will trigger budget cuts.
Brands that stop trying to control creator messaging get better performance, not worse.
Benchmark against your own past campaigns, not industry averages.
65% of consumers wish brands would stop mentioning AI in their marketing, and 63% say they'd be less likely to buy from a brand using AI-generated ads.
Instagram is testing longer videos, episodic series, and live content on its TV app as it pushes into the living room. The app is expanding to Samsung TVs and adding channels, casting, horizontal video, and Stories. The move builds on its new Reels “Series” feature and puts Instagram in more direct competition with streaming platforms.
Getty Images signed a multi-year deal with OpenAI to bring its licensed image library into ChatGPT. The content will appear in search and discovery experiences to improve visual responses with higher-quality, rights-cleared images. The partnership aims to make AI outputs more useful and trustworthy while expanding how Getty distributes its content.
The best meetings don't look like meetings. Instead of one person talking and everyone else nodding, Liberating Structures introduces simple formats that change how groups work. Methods like 25/10 crowdsourcing, Nine Whys, and Min Specs help surface better ideas, clarify purpose, and focus on what actually matters. The result is more ideas surfaced quickly, quieter voices heard, and clearer decisions by replacing open-ended discussion with guided interaction.
Lipton is using local creators as a recurring social function rather than buying creator campaigns in bursts. Working with Billion Dollar Boy, the brand built creator-led "Social Hubs" across seven markets, including France, Turkey, and Saudi Arabia, where creators produce content for both Lipton's owned channels and their own accounts within a single managed system. The model lets a lean global team achieve local cultural speed without hiring market-by-market social staff, since creators already operate inside the platform behaviors and cultural timing that define each market.
LinkedIn's new Collaborative Posts let two or more accounts, including Pages, co-publish a single post with every collaborator's name at the top and the content reaching all their networks at once. Currently in beta, the format runs on an invite-and-accept flow where no collaborator appears on the post until they accept, keeping both sides in control of the commitment. The credibility runs in both directions, since the creator brings an audience that actually engages, and the brand brings a professional co-sign that a tag doesn't carry.
A webinar with Kevin Indig will break down how to get products recommended in AI search, drawing on work with companies like Airbnb, Shopify, Reddit, and G2. The session focuses on what's working today, including whether SEO still matters, how startups can compete, and which tactics drive the most leverage. It's positioned as a strategic discussion for founders and marketers, not a how-to guide. It takes place on July 1 at 8 AM ET.
TikTok is rolling out new AI ad tools led by its Symphony Agent, which can generate full video campaigns from text prompts and trending content on the app. It can turn ideas into ready-made videos, suggest variations based on top-performing posts, and let users refine or rebuild campaigns from those examples. The update also adds features for dubbing, creator discovery, and campaign briefs, making it easier to produce and scale content using what's already working on TikTok.
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 [12].
AI delivers the most value in e-commerce when it connects decisions across marketing, merchandising, inventory, and pricing instead of automating isolated tasks. There are four reinforcing levers: growth, productivity, value chain efficiency, and profitability, which create a flywheel where better personalization improves demand signals and stronger demand signals improve inventory and pricing decisions. AI can strengthen advertising by improving product discovery, recommendations, email segmentation, ad creative, and product page content. Smaller merchants can build the same flywheel by using AI to analyze customer questions and feedback, then applying those insights to content, FAQs, and promotions while measuring conversion rates, returns, support volume, and revenue per visitor.
Starbucks is turning employee-generated content into a structured marketing channel by giving employees briefs, ad revenue sharing, and a direct path into paid advertising through TikTok's Creator Network. The strategy builds on the idea that authentic employee content influences product discovery, as 61% of Gen Z and 40% of all consumers say they frequently learn about new products and services from employee-generated content. Starbucks already has a strong foundation because its employees post at three times the rate of employees at similar-sized chains. Paying and supporting employee creators helps the brand scale credible social content while giving employees an incentive to keep creating.
Creative direction matters more than taste in an AI-saturated market because strong brands create new ideas instead of curating existing ones. AI makes good execution and good taste easier to access, so brands gain attention by building a distinct point of view that competitors cannot copy. Brands like Liquid Death and Bandit stand out because they create new aesthetics, products, and cultural experiences rather than refining familiar ones. Trends spread and normalize faster than ever, which makes originality more valuable. The brands that win give creative teams a clear vision and the freedom to create work that feels different from what the market already considers good.
Polymarket ran 118 undisclosed paid influencer ads showing fabricated wins, told influencers not to disclose the arrangement, and now faces potential CFTC fines.
The Agentic Ads format launches with Papa Johns for food ordering and concert ticketing via Ticketmaster, available on Echo Show devices.
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The internet is overrun with sloppy AI-generated copy. Piling on more is a losing strategy. But what if you could use AI to make your content better, rather than just churn out more of it?
The UK's planned under-16 social media ban could force millions of adults to verify their identity just to access major platforms, changing how the internet is used for everyone, not just kids. In Australia, where a similar ban took effect in December 2025, 7 in 10 under-16s who already had accounts still retain some access, raising doubts about how enforceable these rules are. The tradeoff is child protection versus increased data collection, since age verification gives more personal information to the same platforms it aims to restrict.
Selling AI as a replacement for people grabs attention but erodes trust with buyers and employees. The data doesn't support the narrative. In one month, 160 companies laid off 28.3K workers, and not a single one cited AI as the reason. Yale researchers also found no measurable job loss from AI across 33 months of labor data. Instead, AI works best as an augment. Top users complete 12.2% more tasks and work 25.1% faster when they know its limits. Companies pushing replacement messaging are already reversing course after quality drops and backlash.
There are two kinds of experimenters, one optimizing for scientific certainty and one optimizing for business speed. Strict significance rules like p < 0.05 are designed to avoid false positives, but large-scale studies show they can leave over a quarter of value on the table and sometimes underperform doing nothing. The real issue is decision-making, not testing, since teams stall debating results instead of acting. A better approach is to define intent upfront, either proving superiority or checking non-inferiority, and tune thresholds to the real cost of being wrong.
Most social reports stop at sentiment scores and miss the signal in the comments. Go deeper than positive or negative to see what people are actually reacting to. Look for repeated themes across threads, not one-off opinions. Turn those insights into clear stakeholder talking points backed by real comments. Feed audience language directly into campaign briefs so messaging matches how people already talk.
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Ads get ignored on social media but not in TLDR! Reach developers, PMs, marketers, founders and other tech leaders where they actually
HyperFrames is a free open-source tool that turns HTML into product launch videos. It includes a website-to-video skill for Codex or Claude Code, which takes a website address and outputs a 30-second promo video. The tool pulls from the site's screenshots, assets, copy, and brand look.
This webinar, on June 25 at 2 PM ET, will break down what makes email subject lines perform. It will move past guesswork and into data, showing what drives opens and how real campaigns compare against common instincts. It includes a live subject line showdown and practical fixes to improve results before hitting send.
New out-of-network reach tracking shows which posts actually grow audiences beyond followers. Search now supports natural language for faster ICP discovery. Video returns in a dedicated feed, signaling a stronger push for short-form content. Advice Sessions enables paid 1:1 calls, while Creator Marketplace connects brands with vetted creators for campaigns. Mobile boosting lets users promote posts directly from the app. AI-generated spam is being deprioritized in favor of original POV content. Comments now convert to follows instantly. Connected apps add verified tool usage to profiles as proof of real skills.
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 [16].
LLMs are probabilistic systems that generate likely answers based on patterns, which makes them fluent but not always correct. They can confidently produce wrong outputs because they don't retrieve truth, they predict it. That works for writing, brainstorming, and conversation, but breaks in high-stakes use cases. Deterministic systems fix consistency but still need verification to ensure correctness. The emerging direction is hybrid models where LLMs generate and formal systems verify. As AI moves into areas like biotech and cyber, “probably right” is no longer enough.
B2B teams treat employee advocacy and influencer marketing as interchangeable, but they do different jobs and work best together. Advocacy builds trust through employee networks that are 10X larger than brand pages and drives 45% more opportunities and 51% higher quota attainment with minimal cost. Influencer marketing buys fast access to new audiences but requires ongoing spend and fades when campaigns stop. The strongest programs run both in parallel, using influencers for reach and employees for credibility, aligned to the same launch so buyers see consistent signals from inside and outside the company.
Confidence scoring in frameworks like RICE looks precise but breaks in practice. It assumes uncertainty can be modeled as probability, but most product work sits in true uncertainty where confidence is not measurable or reliably calibrated. This skews decisions toward safe, small work and away from high-upside bets. It's better to drop confidence and focus on real usage, strong customer pull, fast feedback, and observed behavior. Favor asymmetric bets and keep optionality as reality unfolds.
Mastercard cut 70% of its ad spend, moved budget into experiences, and still grew brand value and performance.
The NBA players' union launched Plyrs Untd, giving athletes direct ownership over how their names, images, and likenesses appear across content and partnerships.
Instacart is piloting a vertical video feed with 5-30 second recipe clips that lets users discover meals and shop ingredients instantly in-app.
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Everybody's talking about optimizing for AI search, but AI isn't like traditional search. For one, the answers are far less stable.
About half of US adults now use AI chatbots, up from one-third in 2024. Search and work are the leading use cases, while 60% of adults also report reading AI-generated summaries in search results. People see clear benefits in productivity and staying informed, yet about two-thirds believe AI is advancing too quickly and 70% think it will make personal information less secure.
Social marketers are split between momentum and burnout. Instagram still dominates, with 59% saying it's their top priority, while platforms like YouTube Shorts and Reddit are gaining traction as teams experiment and diversify. At the same time, 56% are actively moving away from platforms like X, citing brand safety and audience shifts. Performance is shifting toward carousels and original, serialized content over trend-chasing formats, but 44% still say their boss doesn't understand social, and most teams are stretched thin with limited time and resources holding back execution.
Tactics like self-promotional listicles, prompt injections, paid mentions, and scaled comparison pages are already showing cracks. Google's starting to reduce visibility and history, suggesting broader crackdowns ahead. While these hacks can work short-term, they tend to get penalized once overused. It's better to build real authority through original research and credible voices, with digital PR focused on consistent, high-quality insights. In the long run, unique data and genuine perspective are what stick since AI can't replicate them.
The signal problem in GTM isn't a lack of data. It's the absence of reasoning about why each signal matters for a specific business and what action it should trigger. Before buying intent tools or building composite scores, the foundational work is mapping what data already exists, sorting each signal by what it tells you about fit, timing, or competitive movement, and designing one focused play per signal rather than assigning numerical weights that cannot be explained to a rep when the list breaks down. Weekly digests outperform real-time Slack alerts because continuous notifications overwhelm reps and get ignored. First-party signals are the right starting point because they're the only ones competitors cannot replicate.
Bing launched new AI visibility tools to help publishers understand how their content shows up in AI responses. Intents and Topics reports highlight which user needs and themes drive citations, shifting focus beyond keywords. Citation Share shows how much visibility a site captures across results, while Compare tracks changes over time to tie performance to content updates, demand shifts, or model changes.
A test of 12 AI assistants found that most US models don't execute JavaScript when reading webpages. This means they only see raw HTML and can miss key content on modern sites. Researchers created pages where the real data appeared only after JS ran, and US assistants consistently returned fake placeholder values, while Chinese models and Mistral correctly executed the code and surfaced the real data. If important content isn't in the initial HTML, major assistants likely won't see it, and chatbot claims about what they can access aren't always reliable compared to server logs.
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 [14].
Emma Hayes' in-game tactical breakdowns during England's World Cup match stood out as the most insightful analysis on the broadcast. Viewers said her 70-second segments explained more than the full panel. Criticisms focused on presentation - her kitchen-like setup drew backlash and raised questions about why the most qualified pundit was separated from the main desk. The chalkboard also split opinion, seen as either refreshingly simple or underwhelming.
Cult brands build loyalty by selling identity, not products. They create insider rituals and tell stories that customers repeat to other people. Patagonia turned a controversial "Don't Buy This Jacket" message into a 30% revenue increase the next year because supporters rallied around its values. Glossier built community into product development and generated 70% of sales through peer referrals. The strongest brands give members a sense of belonging and reflect the person customers want to become.