TLDR Marketing 2026-05-21
Promo email lawsuit ποΈ, newsletter workflows π, AI citations vs. mentions π
Expedia is preparing for a future beyond travel websites (5 minute read)
AI is shifting travel planning from websites to chatbots and assistants, fragmenting how trips are discovered and planned. Expedia is positioning itself less as a consumer site and more as the infrastructure powering bookings. Travelers increasingly use AI for discovery but still prefer established platforms for transactions due to reliable fulfillment when things go wrong.
Skechers must face class action over misleading promotional emails (2 minute read)
Retailers now face real legal risk for using fake urgency in email subject lines, especially in Washington state, where more than 100 brands have already been sued over extended or repeated βlimited timeβ offers. The lawsuit against Skechers shows that brands cannot treat phrases like βToday Only!β or βEnds Tonightβ as harmless conversion tactics if the same promotion returns the next day. Brands should align promotional deadlines with actual campaign end dates and audit automated email flows that recycle urgency language across extensions. The court also rejected the argument that extending a sale helps consumers, which signals that intent matters less than whether the messaging creates false scarcity.
How the cofounder/CEO of beehiiv runs his newsletters in minutes (2 minute read)
This system automates five newsletter workflows. First, an AI editor turns rough drafts into publish-ready copy using a learned writing style and fact checks. Second, a subject line tool uses performance data to improve open rates through tested patterns. Third, an ad copy tool rewrites sponsor content to match voice and optimize clicks. Fourth, automated reports generate weekly branded performance PDFs for advertisers. Fifth, lead gen identifies subscriber employers, scores advertiser fit, and sends qualified leads in Slack daily.
Don't ask for reviews on weekends (3 minute read)
Weekday timing matters more than convenience when asking for reviews. Researchers analyzed nearly 400 million reviews across 33 platforms and found weekend reviews scored .04 stars lower on average, while negative detractor reviews increased by 5.7%. Brands that rely on weekend traffic, like restaurants, bars, and hotels, face higher risk because service quality often drops during busy periods. Marketers should schedule review reminder emails during weekdays, lead with positive social proof, and test incentives like loyalty points or discounts since incentives increased review positivity by up to 83.4% in the study.
Google Ask Maps: How to optimize for visibility (9 minute read)
Google Ask Maps changes local SEO from a ranking problem to a recommendation problem, surfacing only 3-8 businesses per query and explaining why each is a fit rather than presenting a long list. The system draws on Google Business Profile data, review language patterns, website content, and external sources to build enough confidence to recommend a business for specific situations. Businesses that rely on generic service descriptions and broad profiles are at a disadvantage, while those with detailed reviews describing specific outcomes and content organized around customer decision-making scenarios are more likely to appear.
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Resources & Tools
The Figma design agent is here (7 minute read)
Figma's new on-canvas design agent can generate multiple landing page or campaign design directions in parallel from a single prompt, then automate bulk edits like swapping components or updating typography across files. For marketing teams without dedicated design resources, the agent handles repetitive production work like converting assets to dark mode and applying brand design systems consistently. It also synthesizes scattered feedback from stakeholders into actionable next steps, reducing the back-and-forth that typically slows campaign delivery.
How to make Claude brutally honest (2 minute read)
This prompt turns Claude into a more rigorous, truth-first assistant that prioritizes accuracy over sounding confident. It avoids fabricating sources or numbers, flags unverified claims, and distinguishes facts from assumptions. It enforces transparency about what is known, unknown, or inferred, requires credible sourcing when possible, and pushes the model to avoid guessing, especially on recent or changing information.
AI Citations vs Mentions: What's the Difference and What's More Important? (7 minute read)
AI visibility depends on two separate systems: mentions, which build brand awareness inside AI models, and citations, which drive referral traffic through linked sources. Mentions come from repeated associations in training data and retrieval, so brands should consistently tie themselves to target descriptors across PR, social, and on-site content. Citations depend on retrieval quality, which means content must rank well, stay fresh, and use tightly focused sections that AI can easily chunk and reuse in answers. Research shows only 13% of brands are both cited and mentioned, and 76.1% of cited URLs are unique to a single AI platform, so you need platform-specific visibility tracking instead of assuming one optimization strategy works everywhere.
Google's new Universal Cart wants to follow your entire shopping journey across the internet (2 minute read)
Google's new Universal Cart lets users save products from across Search, Gemini, YouTube, and Gmail into a single hub that tracks price drops, flags compatibility issues, and alerts on restocks. The more significant announcement may be Agent Payments Protocol (AP2), which allows AI agents to autonomously complete purchases within user-defined spending limits and brand preferences.
Curated tactics π‘, trends π, and tools π οΈ for cutting edge marketers
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