Edilaine Godoi

Google Delays Third-Party Cookie Phase-Out (Again) ⏳ Privacy vs. Profit continues... Google has delayed the deprecation of third-party cookies in Chrome—again. Now projected for late 2025. 📉 Why it matters: Advertisers still rely heavily on third-party data Publishers face uncertainty in revenue models Privacy advocates push for faster reform 🔄 While the clock ticks, zero-party data and contextual targeting should be at the top of your 2025 strategy. 📣 Don’t wait for the cookie to crumble. Start adapting now. #MarketingNews #PrivacyFirst #AdTech #GoogleAds

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Most marketers still treat meta tags as throwaway HTML, something you do once and never revisit. But in 2025, they’re strategic levers: • They impact CTR • Influence how your content appears in AI Overviews • And shape how both humans and machines interpret your site I break it all down in my latest piece for Search Engine Land: ✅ Which tags still matter ✅ How to write meta content that actually drives clicks ✅ What to do now that AI is rewriting the search game If you haven’t updated your meta strategy in the last year, this is your heads-up. If you're serious about staying visible in search, this is worth the 5-minute read. https://lnkd.in/ekb-yv6f

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Google goes UGC 🚀 With YouTube BrandConnect Google now offers better ways to colaborate with content creators and influencers. Manage colaborations, access measurement and reporting data and pick videos to promote. All within the Google Ads UI. #ppc #googleads #ppcchat #ugc

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𝐍𝐨 𝐂𝐨𝐨𝐤𝐢𝐞𝐬, 𝐍𝐨 𝐏𝐫𝐨𝐛𝐥𝐞𝐦 The digital advertising landscape is shifting fast. As third-party cookies phase out, marketers are entering a privacy-first era where traditional tracking methods no longer deliver the same accuracy. In this new landscape, first-party data has become the foundation for smarter, more effective Google Ads strategies. 𝐖𝐡𝐚𝐭 𝐈𝐬 𝐅𝐢𝐫𝐬𝐭-𝐏𝐚𝐫𝐭𝐲 𝐃𝐚𝐭𝐚? First-party data is the information your business collects directly from your audience—through website visits, sign-ups, purchases, or app interactions. Unlike third-party data, it’s fully consent-based, reliable, and aligned with evolving privacy regulations. ✅ 𝐏𝐫𝐢𝐯𝐚𝐜𝐲-𝐅𝐢𝐫𝐬𝐭 𝐀𝐝𝐯𝐞𝐫𝐭𝐢𝐬𝐢𝐧𝐠 – Since first-party data is collected with user consent, it aligns with global privacy standards while maintaining campaign effectiveness. ✅ 𝐒𝐭𝐫𝐨𝐧𝐠𝐞𝐫 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧 – Google’s AI leverages your data to refine bids, targeting, and creatives in real time, maximizing ROI. ✅ 𝐂𝐫𝐨𝐬𝐬-𝐂𝐡𝐚𝐧𝐧𝐞𝐥 𝐂𝐨𝐧𝐬𝐢𝐬𝐭𝐞𝐧𝐜𝐲 – Integrate data across search, display, YouTube, and Performance Max campaigns for a unified customer journey. ✅ 𝐋𝐨𝐧𝐠-𝐓𝐞𝐫𝐦 𝐂𝐨𝐦𝐩𝐞𝐭𝐢𝐭𝐢𝐯𝐞 𝐀𝐝𝐯𝐚𝐧𝐭𝐚𝐠𝐞 – Businesses that build and activate their first-party data now will stay resilient and future-ready in a cookieless world. Connect Asra Saleem

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How does AI-generated content perform in organic search? Can it show good results on brand-new sites with no backlinks? At SE Ranking, we ran an experiment to answer these questions. We launched 20 new sites, each from a different niche, and published 2,000 AI-generated articles—all focused on how-to-based long-tail keywords. 👉 Within the first 36 days, about 71% of the new pages were indexed. This addressed our first question: will AI content be indexed? (As often it isn't, especially on domains with no trust). 👉 Eight sites started ranking in the top 100 for over 1,000 keywords each within a month.  👉 Overall, AI-generated content drew over 240 clicks (the screenshot shows clicks for one of the websites). Meanwhile, we also published six AI-assisted articles on our own blog, a well-established domain. The second difference (the first one is the domain's authority) here is that this content was generated but thoroughly edited by our team (while content for our main experiment with new sites wasn’t edited by humans). 👉 From the six articles, three are ranking in the top 10. 👉 Two articles were featured as sources in AI Overviews. So, AI content can definitely work and bring traffic, even for new domains. But the big question remains: will these results last or completely drop after, let’s say, six months? We've seen cases where AI content initially boosts traffic significantly but then sharply declines. Let's keep an eye on it as we continue our experiments and test new hypotheses. Stay tuned! The link to the full report is in the comments.

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Dynamic Allocation in Google Ad Manager: Dynamic allocation in Google Ad Manager allows publishers to earn more from every ad impression by letting non-guaranteed demand, like open auctions, compete in real time with direct or reserved campaigns. Instead of leaving leftover inventory unsold, it ensures every ad slot gets the best possible price through smart competition. This system not only boosts ad revenue and fill rates but also simplifies ad management, making it a must-use feature for publishers who want to maximize yield without losing control over their guaranteed deals.

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🚀 PMAX Reporting Updates:  Another Step in the Right Direction! 🎯 Google has finally delivered on the long-awaited improvements to Performance Max reporting capabilities! ✨ After months of anticipation, these enhancements provide advertisers with unprecedented visibility into campaign performance across channels. 🙌 Why This Matters for Your Business 💼 When PMAX first launched, many marketers (myself included) were frustrated by its "black box" nature. In the meantime, Google released many updates improving control & reporting, such as brand exclusion, search terms reporting, Asset-level reporting, and Negative keywords… Exclusive Insights: What We've Learned at Charlie Oscar 🧠 For over 6 months, our data team has leveraged the Mike Rhodes script to analyze daily impression distribution across PMAX placements. Combined with our proprietary COmpass MMM attribution technology, we've uncovered valuable patterns: Key Findings by Industry: 💡 Ecommerce: Shopping & Search typically drive the highest incremental value 💰 Lead Generation: GDN & YouTube can deliver surprising incremental results ✨ Important: There is no universal solution; each business requires a customized approach 🎯 Actionable Strategies Based on Placement Performance 🛠️ Limited YouTube Spend? 📺 → Check your video assets (16:9 format is essential) → Your target CPA/ROAS may be too restrictive for upper-funnel placements GDN Shows Strong Results? 🖼️ → Create additional asset groups with new creatives to tap into new audiences Underperforming Shopping Placements? 🛒 → Audit your product feed quality → Focus on improving product titles, descriptions, and imagery → Ensure competitive pricing structure Search Performance Analysis: 🔍 → Strong search? Great! Especially if using broad match in standard campaigns (Power Pair) → Weak search? Review ad copy, clean up search terms and consider dedicated competitor campaigns Our Proven Strategy 🏆 At Charlie Oscar, we systematically exclude brand terms from PMAX campaigns, allowing them to focus exclusively on growth. 📈 Your Turn 💬 How are you leveraging these new PMAX insights to transform your campaigns? What patterns have you discovered across placements? Share your experiences in the comments below! Let's learn from each other's successes. 👇

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