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<div style="display: none; max-height: 0px; overflow: hidden;">AI search is becoming a measurable top-of-funnel channel even when analytics fail to credit it. A study found that when an AI platform recommends </div>
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<h1><strong>TLDR Marketing <span id="date">2026-06-19</span></strong></h1>
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fscrunch.com%2Fblog%2Fprompt-to-purchase-pipeline-how-ai-influences-buyer-behavior%2F%3Futm_source=tldrmarketing/1/0100019edf8e5923-c4f8c335-aae9-426b-99be-99b7e9c7d074-000000/uZs_7Bpe-l16py52uMRkZDQO7iGIdCdSUxYuwMHaXdE=452">
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<strong>The prompt-to-purchase pipeline: What millions of search events told us about how AI influences buyer behavior (8 minute read)</strong>
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AI search is becoming a measurable top-of-funnel channel even when analytics fail to credit it. A study found that when an AI platform recommends a brand to a new prospect, that person is 182% more likely to search for the brand, 117% more likely to visit its website, and 185% more likely to view its products within a week. Recommendations drive roughly twice the impact of simple mentions, which makes visibility alone less important than earning placement as a recommended option. Brands should optimize content, reviews, and comparison assets to increase recommendation rates across AI platforms, especially ChatGPT, and track AI visibility as a demand generation metric rather than relying only on last click attribution.
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<strong>The mission mindset: How human conversations build buyer confidence (6 minute read)</strong>
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Buying decisions aren't driven by ads alone anymore. People now rely on human conversations to validate what they're considering before they act. On Reddit, they compare options, ask questions, and read real experiences from others to reduce risk and build confidence. This “validation layer” sits between interest and action, shaping what people trust, and often deciding what actually gets purchased in the end.
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<h1><strong>Strategies & Tactics</strong></h1>
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<strong>I tried sending 3,645 LinkedIn outreaches in 49 days (9 minute video)</strong>
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A 49-day LinkedIn outbound test used one account to send 3,645 messages and book 21 qualified demos, or one per 174 messages. It required about 15 minutes of daily effort. Leads were sourced from recent LinkedIn posts signaling intent. Each prospect was researched, then messaged using a consistent structure with a signal, insight, and soft ask. The campaign sent 2,756 connection requests with a 26.5% acceptance rate and 1,570 open InMails. Results were driven by high intent list building and consistent personalization.
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<strong>The anatomy of a copywriting prompt (1 minute read)</strong>
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Generic “write like an expert” prompts underperform because they lack context. A better structure includes a visual reference, a clear plain language message with product context, and explicit copy techniques to guide style. This gives AI the inputs it needs to produce stronger outputs.
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.linkedin.com%2Fposts%2Felainezelby_if-you-know-who-you-sell-to-and-why-they-share-7473051541562646529-XqU8%2F%3Futm_source=tldrmarketing/1/0100019edf8e5923-c4f8c335-aae9-426b-99be-99b7e9c7d074-000000/rLN95aX3oRjhFfny5QGBBydcg5gCKHEx6-ud-Ff6FMU=452">
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<strong>Large-scale blasts vs. narrow targeting (1 minute read)</strong>
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More targeting beats more reach. Highly segmented emails can hit 50%+ opens and 40–90% click-to-open, while broad sends often drop to 2–5% opens and ~1% CTR. Smaller, tighter segments outperform big lists almost every time.
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.021newsletter.com%2Fp%2Fthe-choices-that-determine-whether%3Futm_source=tldrmarketing/1/0100019edf8e5923-c4f8c335-aae9-426b-99be-99b7e9c7d074-000000/h8Qw6HB3p98YCtvHvbjIm7k_ltto2MOF2hCGyxtSh6U=452">
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<strong>The choices that determine whether your MMM (Marketing Mix Model) actually works (10 minute read)</strong>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
MMM success depends more on model design than modeling technique. Validate three requirements before building an MMM: at least 18 months of data, meaningful spend variation, and paid channels that drive at least 20% to 30% of top-of-funnel activity. The most important strategic decisions are choosing the right outcome metric, segmenting self-serve and sales-led motions, and aligning the model to the stakeholder using it, since those choices directly shape ROI, saturation, and budget recommendations. Avoid using short-term adstock decay as a guide for brand investment decisions because business impact can peak 6 to 8 weeks after sustained spending begins. Strong MMM programs present results as ranges instead of point estimates and pair MMM insights with incrementality testing to improve budget decisions and reduce wasted ad spend.
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fmaven.com%2Fp%2F34d9e6%2Fai-governance-for-cm-os-find-risky-marketing-use-cases-fast%3Futm_source=tldrmarketing/1/0100019edf8e5923-c4f8c335-aae9-426b-99be-99b7e9c7d074-000000/_yNbC6lRqiXA_RUaRDXZxHEDRl5r6IhCezC2GURtsbs=452">
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<strong>AI Governance for CMOs: Find Risky Marketing Use Cases Fast (Webinar)</strong>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Many teams already use AI for copy, personalization, and media, but few have a clear map, guardrails, or evidence they can show a CEO or board. This lesson helps you identify your riskiest AI marketing use cases and apply a simple governance model to protect brand and revenue. The free webinar will take place on June 25 at 10 AM.
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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.marketingweek.com%2Fmarketings-critical-thinking-gap%2F%3Futm_source=tldrmarketing/1/0100019edf8e5923-c4f8c335-aae9-426b-99be-99b7e9c7d074-000000/bu9IeIEnP5-RY94hLu2Ow6fxJYF6xJLAAojJkPwAgBw=452">
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<strong>More training won't solve marketing's critical thinking gap (6 minute read)</strong>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Imposter syndrome in marketing feeds on a specific gap between what marketers know and what they can defend. The standard fix, adding more courses and qualifications, reinforces the cycle by building knowledge without developing judgment. One marketing leader reports that 9 out of 10 people can't explain their reasoning when asked why they made a decision. As AI makes tactical execution feel replaceable, the inability to demonstrate strategic reasoning leaves marketers vulnerable in organizations where C-suite leaders often don't understand what marketing does beyond execution.
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.mckinsey.com%2Findustries%2Fconsumer-packaged-goods%2Four-insights%2Fstate-of-beauty%3Futm_source=tldrmarketing/1/0100019edf8e5923-c4f8c335-aae9-426b-99be-99b7e9c7d074-000000/9y4tyc3tA4nnw9k19mUAnN63Uvw64aGCw4VmiFzm-2g=452">
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<strong>The beauty categories, channels, and concepts shaping 2030 growth (10 minute read)</strong>
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TikTok is now one of four retailers that together make up just under half of the US beauty market, alongside Amazon, Ulta Beauty, and Sephora. Social commerce is the fastest-growing channel. Amazon and TikTok combined could surpass Sephora and Ulta in beauty sales this year. AI platforms are projected to drive up to 35% of e-commerce transactions within three to five years. Winning on emerging channels now requires structuring product content for AI recommendation engines rather than search keywords alone.
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