The number of marketers using Supermetrics for Claude keeps doubling. Because going from raw campaign data → performance deck → CMO email in one conversation is kind of hard to unsee. Read from our blog how it actually works! 'Supermetrics for Claude: Welcome to your new marketing workflow' → https://bit.ly/4tQHUS7
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One size tracking corrupts your business data. Rule N°2: Set up your conversion events before launching campaigns. Keep in mind, NOT every online business should track the same events. ------------------------------------ #DigitalAnalytics #GoogleAnalytics #GoogleTagManager #LookerStudio #DataDriven #MarketingAnalytics #ConversionTracking #WebAnalytics
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Slick marketing models and dashboards look great on screen. But if your team is still debating the next move, your data isn't doing its job. In our upcoming webinar, Bart, Luuc and Stan will show you how to connect the dots between marketing measurement and actual media strategy. We’ll cover how to > Spot real budget opportunities. > Avoid common model misinterpretations. > Build a case you can confidently defend to your stakeholders. > Allocate your media budget strategically for maximum impact. Want to join? Link to register is in the comments. 👇
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Every ad tool is now "𝐚𝐧 𝐀𝐈 𝐭𝐡𝐚𝐭 𝐨𝐩𝐭𝐢𝐦𝐢𝐳𝐞𝐬 𝐲𝐨𝐮𝐫 𝐜𝐚𝐦𝐩𝐚𝐢𝐠𝐧𝐬." Optimizing was never your problem. Think about your last bad month. It wasn't because a bid was 8% too high. It was because nobody decided to cut the campaign quietly burning ₹2L — or to double down on the one that was working, before it cooled off. 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧 𝐢𝐬 𝐭𝐮𝐧𝐢𝐧𝐠 𝐭𝐡𝐞 𝐤𝐧𝐨𝐛𝐬. Deciding is knowing which knob matters this week, and having the nerve to act before the data is "statistically perfect." Most tools hand you 50 charts and call it intelligence. That's not help. That's homework. A junior media buyer with one clear decision every morning beats a senior one drowning in 12 dashboards. Every time. We didn't build Neolook to optimize. We built it to decide. One screen. One decision. Every morning. The rest is noise.
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Replace your Monday morning reporting routine with this 3-prompt workflow in Claude + Supermetrics: 1️⃣ "Pull last week's performance across Google Ads and Meta. Show spend, CPA, and ROAS." 2️⃣ "Structure this as a slide-ready deck with channel deep dives and key callouts." 3️⃣ "Write a 150-word email summarizing the highlights for my CMO." Data → deck → email. One conversation. All under 10 minutes.
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The number of marketing ops leads I talk to who are still spending Monday morning manually pulling numbers from platform dashboards is higher than it should be in 2026. This workflow is a good snapshot of what changes when the data layer is already in place. The three prompts take 30 seconds to write. The lift comes from the underlying data being connected and accurate, so Claude is answering from real numbers rather than guessing. The deck and CMO email prompts especially resonate. A lot of teams waste serious time on that translation layer between raw performance data and something leadership can actually act on.
Replace your Monday morning reporting routine with this 3-prompt workflow in Claude + Supermetrics: 1️⃣ "Pull last week's performance across Google Ads and Meta. Show spend, CPA, and ROAS." 2️⃣ "Structure this as a slide-ready deck with channel deep dives and key callouts." 3️⃣ "Write a 150-word email summarizing the highlights for my CMO." Data → deck → email. One conversation. All under 10 minutes.
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Your marketing data is already telling you what to fix. Most people collect analytics but never actually look at them. That's like getting a report card and leaving it unopened. Every platform gives you numbers. Engagement rates. Click-throughs. Response reports. The data is sitting there, waiting to show you what's working and what's not. The approach is simple: if something isn't performing, improve it or drop it. If something is working, do more of it. You don't need fancy tools or a data science degree. You just need to actually pay attention to what the numbers are saying. In a recent video, I break down why regularly checking your marketing stats is the fastest way to stop wasting time on tactics that don't work. https://lnkd.in/d6MKkBhA
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Most get stuck on the data piece of attribution. But what surprised readers of the State of Marketing Attribution research we produced with Scott Brinker and Frans Riemersma was that top performing teams spent far less time debating models or obsessing over getting 100% complete data and more time aligning their teams and taking action. 📚Want the full report? Download it here: https://hubs.ly/Q04jpnWx0
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How Marketing Teams Misinterpret Performance Data? Let’s Find Out! #digitalmarketing #rswebsols https://ift.tt/VDBHiTr Unlocking clarity in marketing performance. Our latest blog explores how teams can misinterpret data by over-relying on platform metrics, applying inconsistent attribution models, and trusting polished dashboards without digging into the underlying numbers. It outlines practical steps to improve measurement, align stakeholders, and drive better outcomes. Read the full analysis to ensure your team interprets metrics accurately and acts on meaningful insights. Read more: https://ift.tt/VDBHiTr
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Running ads without data tracking is like driving blindfolded. Yet many businesses still rely on: - guesswork - vanity metrics - incomplete reports If you can’t measure it, you can’t scale it. #PPC #Analytics #MarketingStrategy
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GlueLetter newsletter analytics analyzed 105 million newsletter clicks and found that 56% of them are completely fake aka bots. Workweek CEO Adam Ryan previously told us his data shows bot clicks could be as high as 98%.
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