Advertising Research Foundation (ARF)’s Post

If you're a news publisher looking to get a 360 view of your organization performance to receive insights and recommendations, you can now use a free AI-powered reporting assistant from Google. We've launched News Consumer Insights 3 (NCI 3) where you can connect your Google Analytics, Search Console, Ad Manager or AdSense accounts to build deeper insights. Watch the video to learn more. Durga Raghunath Swetha Susan Elias Abhishek Mathur Gunjan Singhvi Killol Buch Avijeet Boparai https://lnkd.in/gQQq4E4N

👋 Goodbye Personalized Ads, Hello IDfree! We've just launched a new chapter of the idfree insider newsletter, delivered directly from Global Data Resources (GDR) - the owner and developer of idfree.com. In this issue, we explore more about advertising in a privacy-conscious world: - Meta's Shift to Less Personalized Ads: Learn how IDfree bridges the gap for impactful ad campaigns that respect user privacy. - IDfree & Geo-Targeting: Reach your ideal customers with precision and privacy protection. - Google Search Makeover: Discover how these changes might impact your advertising strategy. - AI Overviews Ads: A New Way to Reach Customers: Get your brand in front of engaged users actively researching on Google. Plus, industry news, trends, and insights you won't want to miss! Click here to read the full newsletter: https://wix.to/nAvthPK Ready to explore IDfree solutions? Please contact our team: https://lnkd.in/ekN4vej ✨ P.S. Need to re-activate your IDfree account? Reach out to [email protected]. #idfree #newsletter #privacy #digitalmarketing #advertising #adtech #ethical

A Lesson I am Learning (probably obvious to many): Unlocking the power of data is 🔑 for D2C/online businesses! 💡 Exciting news: PerfectTed is diving deep into data to supercharge our online sales and digital marketing. 🚀 Stay tuned for a game-changing partnership announcement this month! 🎉 The Lesson: Embracing the data journey has been eye-opening. While I'm still figuring out pixels and Google Tag Manager, I've learned the value of outsourcing to specialists instead of burning the midnight oil solo. 🌟 Big thanks to Day1Data for their guidance along the way! 👏

▶️ Explore Google Analytics' AI-powered features to help you make data-driven decisions. Learn how to leverage automated insights and recommendations to identify trends and optimize your marketing strategy. → https://goo.gle/3UyJg4f

Stop wasting time on inconclusive experiments.🔬 Do this instead. - Test big changes that can move the needle - Let experiments run for 2+ weeks to gather data - Check the "95% confidence interval" for statistical significance Small tests or short runs lead to meaningless results. When doing Google Ads experiments it's gonna show you performance lift with statistical confidence. If the "95% confidence interval" result is significant, you can expect similar results when applying the change to the original campaign. If inconclusive, the test was too small or short.

🕵️ Dwinity Insights: The Hidden Cost of Free Services! 👀 🧐 Did you know? Back in 2001, each Google user generated £1.45 in ad revenue. Fast forward two decades, and it's now £26 per user per year — an 1,800% increase! 📈 (Source: https://lnkd.in/daPbp9mp) How? #Google collects big data and personal info in exchange for free services. But is it fair? 🤔 It creates winners and losers. Enter #Dwinity, using #Web3 to reshape the centralized Data Economy . ➡️http://dwinity.com. 💻✨ #data #personaldata #BigData

This case from "Think with Google" about @The New York Times brings an interesting approach about building First Party Data: A few years ago, the data science team at The New York Times had an idea. If they could understand what an article made a user feel, it could become a powerful signal that could be meaningful for their advertisers. Through crowdsourcing, they were able to obtain 150,000 emotional responses from their readers. From those, they gleaned 42 unique emotions they could use to align with their advertisers’ content and messages. Consequently, the ads readers see now can feel super relevant and empathetic, because they’re tailored to the emotion solicited by the article. The results? Better attention, and higher-quality impressions for their ads — they outperform industry benchmarks by 2X. And that advertising revenue gives the publication the space to dedicate resources to stories and topics that most other organizations can’t cover. https://lnkd.in/d4aFPYtr

While triangulation is the word of the moment in measurement, Google seems to be pushing calibration. In their Modern Measurement Playbook (link in comments), they propose a solution to the question we hear all the time from marketers -- "How do I use my different measurement methodologies together?" Google's Calibration method work: 1️⃣ Take your attribution ROAS (say for Q1) 2️⃣ Take your geo experiment iROAS (say from a test you ran in Q1) 3️⃣ Divide iROAS by ROAS to get your calibration multiple 4️⃣ Multiple your future attribution ROAS (for Q2) by the calibration multiple to get an estimated iROAS for Q2. This calibration example is good because it tactically shows how to combine geo testing with attribution ROAS (to google, attribution ROAS means in platform reporting but it likely should also mean Google Analytics or MTA reporting). It also shows how you use period in time experiments to help determine incrementality of future periods. This is helpful because most marketers aren't running incrementality tests on an ongoing basis (there's both an operational and revenue cost to always on testing). I find that at best, they're running a couple per quarter. This gives marketers a way to leverage those old results in future quarters when they aren't running a test. I'm skeptical though that the results of a Q1 incrementality test hold that much weight in Q2 however.

Google Analytics continues to evolve, offering businesses powerful tools to derive actionable insights. In their latest blog post, Google highlights four key ways Analytics can transform your business strategies: 📈 Data Integration: Seamlessly connect data from various sources for a comprehensive view. ⏱ Real-Time Reporting: Gain immediate insights to make quick, informed decisions. 🤖 Advanced Machine Learning: Predict trends and customer behaviour with AI-powered insights. 🎯 User-Centric Measurements: Focus on individual customer journeys for better engagement strategies. At Deeploy, we leverage these capabilities to optimize digital strategies, ensuring our clients can make data-driven decisions that propel their growth. Dive deeper into how Google Analytics can enhance your business by reading the full article here. #DataDriven #GoogleAnalytics #DigitalMarketing #BusinessGrowth #Deeploy

Did you know that every minute, 3.5 million searches are conducted on Google? 𝗧𝗵𝗮𝘁’𝘀 𝗼𝘃𝗲𝗿 𝟮𝟬𝟬 𝗺𝗶𝗹𝗹𝗶𝗼𝗻 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀 𝗮𝘀𝗸𝗲𝗱 𝗲𝘃𝗲𝗿𝘆 𝗵𝗼𝘂𝗿! Just imagine the insights hidden in all that data—and the power of asking the right questions. Whether it’s surveys or search engines, the key is understanding what people want to know. 🔍✨ How do you use data to make smarter decisions? Let us know in the comments! #FunFactFriday #DataDriven #ConsumerInsights #SurveyLife #Tawasol