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<div style="display: none; max-height: 0px; overflow: hidden;">Image AI models are now the main driver of AI app growth. They generate about 6.5X more downloads than traditional model upgrades β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β </div>
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<h1><strong>TLDR Marketing <span id="date">2026-05-05</span></strong></h1>
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<strong>The CMOs winning at AI aren't replacing marketersβ they're making them more human (Sponsor)</strong>
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<strong>Everyone says AI is a priority. Not everyone acts like it is.</strong><p></p><p><a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.contentful.com%2Fresources%2Fatlantic-report-machines-marketers-humans%2F%3Futm_source=tldr%26utm_medium=newsletter%26utm_campaign=fy27-q1-global-feeling_so_contentful/3/0100019df7d57729-78b1bbdd-0b37-47e8-ae54-99ff0f4d0061-000000/lBsfHekvSqAo0ERtWHS2FFgJynRSD9zGoQHEDe9u8Do=452" rel="noopener noreferrer" target="_blank"><span><strong>Atlantic and Contentful's latest report</strong></span></a><strong> contains insight from 425 marketing leaders β including 103 CMOs β on where AI investments are actually going, and who's getting results.</strong></p>
<p><strong>π Read it to see who's launching faster campaigns, personalizing at scale, and maximizing ROI β and </strong><a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.contentful.com%2Fresources%2Fatlantic-report-machines-marketers-humans%2F%3Futm_source=tldr%26utm_medium=newsletter%26utm_campaign=fy27-q1-global-feeling_so_contentful/4/0100019df7d57729-78b1bbdd-0b37-47e8-ae54-99ff0f4d0061-000000/6SPt357zHLI7iPCMkBlr2kmaRVMdcyli2WU99E4-j-s=452" rel="noopener noreferrer" target="_blank"><span><strong>what they're doing differently</strong></span></a><strong>.</strong></p>
<p><strong>π The report includes a budget prioritization framework to guide your next moves.</strong></p>
<p><strong>β¬οΈ </strong><a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.contentful.com%2Fresources%2Fatlantic-report-machines-marketers-humans%2F%3Futm_source=tldr%26utm_medium=newsletter%26utm_campaign=fy27-q1-global-feeling_so_contentful/5/0100019df7d57729-78b1bbdd-0b37-47e8-ae54-99ff0f4d0061-000000/WgF45aaZsRRabFx4pntz_IR0_RP9HFbwJx5lfTzn1Ck=452" rel="noopener noreferrer" target="_blank"><span><strong>Get your (ungated) download</strong></span></a><strong> of <em>When Machines Make Marketers More Human</em></strong>
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<div style="text-align: center;"><span style="font-size: 36px;">π±</span></div></div>
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Ftechcrunch.com%2F2026%2F05%2F04%2Fimage-ai-models-now-drive-app-growth-beating-chatbot-upgrades%2F%3Futm_source=tldrmarketing/1/0100019df7d57729-78b1bbdd-0b37-47e8-ae54-99ff0f4d0061-000000/Qthu4w517IHCQaMeqPl2PE2WUrFRT-8HwDPClug0qCw=452">
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<strong>Image AI models now drive app growth, beating chatbot upgrades (2 minute read)</strong>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Image AI models are now the main driver of AI app growth. They generate about 6.5X more downloads than traditional model upgrades. Gemini added over 22M downloads after its image model launch. ChatGPT saw more than 12M incremental installs from its GPT-4o image update. Users are more motivated by visual creation features than conversational improvements. However, most apps fail to convert this surge in attention into revenue, with only ChatGPT seeing meaningful consumer spend.
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<strong>AI changed my work. And yours, too (6 minute read)</strong>
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AI has collapsed the cost of building software, content, and tools. Agents deliver 1.5 - 13X time savings and up to 50% productivity gains. Software is moving from code to integrated systems where enterprise tools persist due to accountability and switching costs, while self-serve products must move upmarket. Distribution is tightening as platforms reduce traffic and AI keeps users inside, making velocity and product-led growth the key levers. The main constraint is no longer building, but deciding what to build and what to ignore.
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<div style="text-align: center;"><span style="font-size: 36px;">π</span></div>
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<h1><strong>Strategies & Tactics</strong></h1>
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<strong>AI-Generated Email Summaries: What We Learned After Analyzing 628 Summaries (12 minute read)</strong>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Lead with your key points in PR pitches since AI summaries pull 82-87% of content from the first half. Keep copy tight and use bullet points to increase pickup. Write subject lines with clear keywords like βnewβ, βdataβ, and expert titles since they shape up to 60% of summaries. Put critical info in the body, not tables or attachments. Expect variation across tools and double-check coverage, as AI misrepresents content about 33% of the time.
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fconversion-rate-experts.com%2Famazon-product-page-copywriting-friday%2F%3Futm_source=tldrmarketing/1/0100019df7d57729-78b1bbdd-0b37-47e8-ae54-99ff0f4d0061-000000/vz_4Zj3YrSdEukvYve_ZZXljsiBUch5CIxv_jnnvnQI=452">
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<strong>Five techniques from Amazon's relentlessly tested product pages (5 minute read)</strong>
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High-converting product pages pair emotional messaging with search-driven copy to match both user intent and algorithms. Benefit-led subheads double as a full sales pitch for scanners. Key objections are addressed early with specific language like DIY install and easy charging to remove friction. Complex actions are reduced to simple, low-effort steps to keep momentum. Proof is distributed across the page, with different formats targeting different buyer concerns.
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<div style="text-align: center;"><span style="font-size: 36px;">π§βπ»</span></div>
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<h1><strong>Resources & Tools</strong></h1>
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.linkedin.com%2Fposts%2Fsenatorous_ab-test-report-template-ugcPost-7447368035423780866-h-Zz%3Futm_source=tldrmarketing/1/0100019df7d57729-78b1bbdd-0b37-47e8-ae54-99ff0f4d0061-000000/YZ9Gh2CUVOuG6yeVRH9FHxbT6THnIOm8ijf-X3VDiUE=452">
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<strong>A/B Test Report Template (1 minute read)</strong>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
This post provides a standardized A/B test doc template to ensure insights aren't forgotten. It includes sections tailored towards business stakeholders as well as analysts.
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<strong>Does the Return of Google Data Studio Signal the End of Analytics Silos? (8 minute read)</strong>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Google has restored the Data Studio brand and expanded the platform beyond its original role as a visualization tool. The updated Data Studio integrates BigQuery conversational agents and Google Colab notebooks directly into the reporting interface. It allows analysts to query data in natural language and embed predictive models alongside operational dashboards. The enterprise tier, Data Studio Pro, adds semantic layer governance to ensure AI agents interpret customer metrics consistently across marketing, sales, and service applications.
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<div style="text-align: center;"><span style="font-size: 36px;">π</span></div></div>
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<div style="text-align: center;"><strong><h1>Miscellaneous</h1></strong></div>
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<strong>The illiterate organization (3 minute read)</strong>
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Organizations produce massive output, but most of it is never truly read or used. More data and dashboards do not drive decisions, lack of interpretation does. Without a clear βso what', insights never convert into action. AI summaries make this worse by deviating from source material and stripping meaning. Dashboards encourage skimming, which removes critical thinking and disconnects metrics from strategy. This creates organizational illiteracy, where teams chase conflicting goals and build incoherent products.
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<strong>World Cup marketing is a team effort (7 minute read)</strong>
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Marketers are treating the 2026 FIFA World Cup as a global cultural moment built around community and shared fan experiences. The tournament includes 104 matches, with 78 in the US. It's expected to reach over a quarter of US consumers while driving $10.5B in global ad spend. Brands are building interactive, multichannel strategies across social and streaming, tailoring campaigns to diverse and overlapping fan bases. The focus is on localized activations and creators.
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<h1><strong>Quick Links</strong></h1>
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<strong>GameStop makes daring $56 billion bid for eBay (3 minute read)</strong>
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GameStop has offered to acquire eBay in a cash and stock deal, aiming to build a stronger rival to Amazon.
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.linkedin.com%2Fposts%2Fdarrenshawwhitespark_before-you-add-another-video-to-your-google-share-7457081883009650688-Rfis%3Futm_source=tldrmarketing/1/0100019df7d57729-78b1bbdd-0b37-47e8-ae54-99ff0f4d0061-000000/iC7umPqeurjOQ66vVe4osoDSGaFRaEd9K_5_8-6MEgs=452">
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<strong>Tip for video uploads on Google Business Profile (1 minute read)</strong>
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Add captions on TikTok or IG before repurposing videos to your Google Business Profile so they stay understandable without sound and help Google's AI interpret them.
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<strong>LinkedIn's growing influence in AI search visibility (1 minute read)</strong>
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LinkedIn is now the second most cited domain in AI responses, appearing in 11% of outputs across major AI tools.
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