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<div style="display: none; max-height: 0px; overflow: hidden;">Each Spotify stream generates about 1.5X more listening time and outperforms YouTube in 95% of episodes. YouTube remains important for discovery </div>
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<h1><strong>TLDR Marketing <span id="date">2026-05-14</span></strong></h1>
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<div style="text-align: center;"><span style="font-size: 36px;">📱</span></div></div>
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<h1><strong>News & Trends</strong></h1>
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.netinfluencer.com%2Fspotify-streams-generate-1-5x-more-listening-time-than-youtube-views-data-finds%2F%3Futm_source=tldrmarketing/1/0100019e2629a665-56e03c7e-08dc-45bf-8350-474f5565ed5b-000000/fmumCfkn4A1thhADst5e6sJmPGPNeUn357AuTAOHt7o=452">
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<strong>Spotify Streams Generate 1.5X More Listening Time Than YouTube Views (2 minute read)</strong>
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Each Spotify stream generates about 1.5X more listening time and outperforms YouTube in 95% of episodes. At the same time, YouTube remains important for discovery, and increased reach often lowers average time spent as new listeners sample content. In some cases, discovery spikes can even reduce engagement on Spotify by bringing in less committed audiences. Neither platform is inherently better. Publishers need to measure both time spent and reach together based on their goals.
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.smartbrief.com%2Foriginal%2Fwhat-is-tv%3Futm_source=tldrmarketing/1/0100019e2629a665-56e03c7e-08dc-45bf-8350-474f5565ed5b-000000/v-1BL15OjHnIMv2wVfUqtCsisn69DVnAHVENgGnZY8c=452">
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<strong>What is “TV”? (1 minute read)</strong>
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Media channels now overlap so heavily that marketers should stop planning around formats like TV, social, or PR and start planning around business goals. Connected TV now supports performance and commerce campaigns, social platforms drive affiliate sales through creators, and earned media improves visibility in answer engines and AI search. Streaming platforms continue to take share from traditional TV ad spend, yet legacy broadcasters still compete through their own streaming ecosystems alongside companies like MrBeast, Amazon, and Netflix. The shift turns TV into part of a broader video marketing ecosystem that now includes short-form video, branded content, microdramas, and gaming.
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<h1><strong>Strategies & Tactics</strong></h1>
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<strong>Be more expressive to close more sales (3 minute read)</strong>
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Expressive sales delivery increases purchase intent by 35.8% and improves product perception by 31.8%, which makes energy and body language a measurable conversion lever instead of just a presentation style choice. Researchers found that expressive salespeople were rated 2.2X more charismatic across 14 sales pitches and 847 viewers. The effect was strongest for emotionally-driven products like clothing, hobbies, and lifestyle brands where charisma shapes buying decisions more than product details. Brands should coach sales teams and creators to use stronger vocal energy, eye contact, facial expressions, and hand gestures during demos, ads, and presentations. The research also found that mild anger hurts performance, especially when salespeople become more animated while criticizing competitors.
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.linkedin.com%2Fposts%2Fdavidegrieco_im-the-head-of-growth-at-clay-and-im-here-share-7459951964613943296-JE0E%3Futm_source=tldrmarketing/1/0100019e2629a665-56e03c7e-08dc-45bf-8350-474f5565ed5b-000000/WsmIwdSDvFv3vi0c3e-ZD5_3pBQyAQR8Fe08Wy1dpio=452">
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<strong>Your tech stack doesn't matter (1 minute read)</strong>
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Start with the customer experience and work backward instead of starting with tools or AI workflows. Focus on two audiences, prospects and the internal sales team. Target the right ICP at the right time with the right message. Treat internal buy in as critical since sales adoption drives campaign success. Build campaigns around distribution, messaging, and ICP clarity before choosing any tools. Create content that delivers value through outcomes rather than product features. Select technology only after the strategy is clear, with emphasis on taste and judgment over tooling.
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<h1><strong>Resources & Tools</strong></h1>
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.adexchanger.com%2Fplatforms%2Fforget-dances-tiktok-wants-people-to-shop%2F%3Futm_source=tldrmarketing/1/0100019e2629a665-56e03c7e-08dc-45bf-8350-474f5565ed5b-000000/_yzZcJwBIhoIGAnoIS_qlQP2TFAuCXfaG3J785GF330=452">
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<strong>Forget Dances. TikTok Wants People To Shop (3 minute read)</strong>
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TikTok's latest product announcements position the platform as a full commerce destination, with TikTok GO enabling in-feed travel bookings and Search Hubs placing sponsored brand pages at the top of search results. Branded Buzz inverts the typical creator outreach model by letting advertisers post open briefs that any TikTok One creator can respond to, scaling content production without individual negotiations. On the AI side, the platform introduced Asset Manager for unified campaign setup, a Model Context Protocol for connecting external AI systems, and an integration with ByteDance's Seedance 2.0 video generation model.
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<strong>B2B Email Marketing: What Still Works? (Webinar)</strong>
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This webinar, on May 15, will share how B2B marketers are building email campaigns, workflows, and tools to generate pipeline. Speakers will cover what subject lines are getting opened, how teams personalize at scale without sounding robotic, how AI fits into production, and how campaigns are structured from strategy to execution.
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<div style="text-align: center;"><span style="font-size: 36px;">🎁</span></div></div>
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<div style="text-align: center;"><strong><h1>Miscellaneous</h1></strong></div>
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.creatoriq.com%2Fblog%2Fearned-podcast-ep-195-jamie-gutfreund-founder-creator-vision-creator-marketing-infrastructure%3Futm_source=tldrmarketing/1/0100019e2629a665-56e03c7e-08dc-45bf-8350-474f5565ed5b-000000/5ZIvy5uZg9JP53V_OaJx5Fq-Sspx_OK2Wm7Hq2NCMGs=452">
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<strong>From Creator Campaigns to Infrastructure: Jamie Gutfreund on What Brands Still Get Wrong (4 minute read)</strong>
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Creator marketing now needs infrastructure instead of one-off campaigns as brands scale spend and integrate creators across paid media, commerce, and customer acquisition. Most brands still misuse creator content by applying traditional ad rules that reduce engagement, even though creator-led content during COVID performed better, moved faster, and uncovered stronger messaging ideas. Brands also underuse YouTube because they treat it as an ad platform instead of a creator, search, and storytelling ecosystem tied to long-form discovery and connected TV. AI will speed up audience analysis, testing, and workflows, but creators still win on trust, cultural fluency, and community connection.
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fsherwood.news%2Ftech%2Fai-resurrection-economy%2F%3Futm_source=tldrmarketing/1/0100019e2629a665-56e03c7e-08dc-45bf-8350-474f5565ed5b-000000/DjfWcpXWT0Nz8UgNMrhqCYQc5MhhLHseCutevLtsqC8=452">
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<strong>AI is giving life to resurrection economy (10 minute read)</strong>
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AI is enabling a “resurrection economy” using voice cloning, deepfakes, and AI-generated music to recreate deceased artists and public figures. Some uses are unauthorized, like AI songs appearing on dead musicians' Spotify pages. Others are estate-approved, such as licensed voice and likeness recreations in film and games. Public reaction is largely negative. Platforms are adding detection, verification, and takedown systems, but enforcement is uneven. The market is growing faster than safeguards, creating legal and economic tension.
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<strong>Duolingo's CEO admits where he got AI wrong (5 minute read)</strong>
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Duolingo's CEO says his widely circulated AI memo was misunderstood, but he also concedes that key parts of it were wrong, including a blanket policy to evaluate all employees on AI usage that has since been removed. The company found that mandating AI use across every role led some employees to adopt it performatively without actual productivity gains. On the product side, AI-generated content at scale produces about 20% "slop" that requires human quality control, a gap between demo-ready output and production-grade results.
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