Plausible free trial users often wonder why is data seen in Plausible not matching with another analytics tool. The other tool in comparison could be anything: GA4, Search Console, Mailchimp, Meta Ads, or even server logs. Seeing some differences between any two tools is almost guaranteed. Things like browser blocking, cookie-consent banners, bot traffic, different definitions of metrics, how tags are installed, and more can lead to sizeable differences. That can lead to questions like: Which tool is “right”? What do the differences mean? Should I trust one over the other? Is there a bug? Is my setup correct? This is why, we have published a guide to help you make sense of it all (link in comment) You can find the category of the tool you're comparing against Plausible and understand what causes the differences. The goal isn’t to declare one tool “right” and the others “wrong,” but to help you interpret the numbers correctly and use them wisely.
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Most marketers trust their Google Analytics numbers. Until they realize… 20% of their traffic is invisible 🙈 Why? Every time someone clicks “reject all cookies,” your data disappears. To capture all the traffic, you need a privacy-focused alternative. Here’s where Ahrefs Web Analytics comes in. It doesn’t collect personal data - so it doesn’t require cookies. Here’s what I loved: ✅ Real-time traffic (no 24-hour delay as with GA4) ✅ Instant insights into campaign & UTM performance ✅ Intuitive interface (just what I was missing from the old GA) ✅ Shows you traffic from ChatGPT, Perplexity, and other AI tools And it’s totally free to use! (for up to 1 million events per month) If you’re serious about growth, you can’t afford to fly half-blind. Get started with Ahrefs Web Analytics for free: https://lnkd.in/d4PA_sBr 💡 𝐏𝐫𝐨 𝐭𝐢𝐩: install it side by side with GA4 and compare the difference in the quality of your data. #ahrefspartner
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You might be losing up to 40% of your data… and not even know it. That’s how most ad accounts end up showing “great clicks, poor conversions.” The problem isn’t your ads. It’s the silent data loss between your ad platform and GA4. I see this every week while auditing client setups. They think their ads are underperforming — but really, their tracking is. Here’s what usually causes the data gap 👇 → Broken or missing event parameters → Mismatched user IDs between ad and analytics → Consent banner blocking tags without configuration → Delayed or double firing GTM tags → No server-side connection for first-party data The fix is simple when done right: ↳ Audit your data flow (click → event → conversion). ↳ Use server-side tagging to protect data. ↳ Pass consistent parameters (like gclid, fbclid, client_id). ↳ Test every conversion with debug tools before going live. After I fix setups like this, clients suddenly see “hidden” conversions reappear. Their ROI didn’t jump — their tracking finally told the truth. Accurate data = confident decisions. And that confidence drives better campaigns. P.S. Do you think your GA4 and ad data match 100% right now? #WebAnalytics #GoogleAnalytics4 #GTM #ConversionTracking #ServerSideTracking #DigitalMarketing #DataDriven #AdTracking #MarketingAnalytics #GA4 #AdsOptimization #PrivacyFirst
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GA4 doesn't just show reports, it helps you make decisions. Many businesses still think everything is fine just by looking at Pixel or Analytics views But don't get real data insights. Pixel or basic Analytics setup only provides surface-level data, but GA4 tracks the entire customer journey — which pages users are dropping on, which sources are getting the best leads, And which campaigns are just eating up budget? GA4 + GTM + Server-side Tracking = “A Complete Data Ecosystem” Where you get actionable insights, not just numbers. 1. Smart Optimization 2. Better Audience Signal 3. Budget Efficiency 4. High ROAS If you want Data-driven Decisions, not just Ads, then now is the time to set up the right tracking. I am a Web Analytics & Conversion Tracking Specialist, Where I work — ↳ Google Analytics 4 (GA4) ↳ Google Tag Manager (GTM) ↳ Facebook Pixel & Conversion API ↳ Server-Side Tracking The goal is one: “Let your data speak for itself.” 📩 Inbox me with “Data Audit” I will look and tell you where data is being lost, and how to fix it to increase ROI. #GA4 #TrackingMatters #ServerSideTracking #DigitalMarketing #DataDrivenGrowth #ConversionTracking #MarketingStrategy #WebAnalytics #PalashPaul #DataAnalyst
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I audited 50+ Consent Mode setups and found something shocking. Most sites are leaking data even when they think everything’s working perfectly. I learned this the hard way while auditing dozens of sites for clients. And the same 5 mistakes kept showing up again and again. If you’re running Consent Mode and still seeing gaps in attribution—read this. Here are 5 mistakes you must fix today: 1. Consent Mode not loading before tags ↳ If Consent Mode loads after your marketing tags, you’re sunk. → You lose tracking data that’s blocked or misfired. → Load Consent Mode early — ideally in <head>. 2. No proper fallback for denied consent ↳ Users click "reject all”? What happens then? → Many sites simply stop tracking — but there’s more. → Use cookieless pings so you still get anonymous data. 3. Broken or missing default consent state ↳ Without this, your setup’s flying blind. → Browsers don’t know user intent by default. → Set `default` state to ensure smart data control before input. 4. Consent Mode setup only on your homepage ↳ Big red flag — this breaks consistency. → Tags on other pages may behave differently. → Place Consent Mode on all pages, including checkout. 5. CMP and Consent Mode speaking different languages ↳ This one’s sneaky but deadly. → Your CMP might say “yes,” but Consent Mode hears “maybe”. → Map consent signals correctly between both tools. Fix these, and your attribution gets way sharper. Ignore them, and you’ll keep blaming the wrong channel. Clean data → Smarter targeting → Better performance. The internet didn’t get harder. You just need better tracking hygiene. P.S. How many of these mistakes exist on your current GA4 setup?
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What IS server-side tracking? Let me tell you… Browser-side tracking = relying on the user's device to collect and send your data. You're trusting their browser, settings and ad blockers to let you track conversions. Server-side tracking = your server collects and sends the data. Why does it matter? Paid ads run on algorithms and they are only as good as the data you feed them. You shouldn’t trust your business decisions to black box third parties but take control of the data you feed back to the algorithms. Simple as that! (Or actually it’s super technical, but that’s a topic for another rant.)
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Excited to share a comprehensive ***GTM Server-Side Tracking*** Master Checklist covering GA4, Google Ads Enhanced Conversions, and Meta (Facebook) CAPI! I’ve put together resource links, task notes, and essential steps for setting up robust server-side tracking using Google Tag Manager (sGTM). This checklist streamlines everything from custom domains and debug setups to deduplication, event forwarding, and enhanced conversions integration. Whether you’re working on advanced attribution, conversion API, or migrating to server-side tags for stronger privacy and data control—this table has you covered! If you’re interested in leveling up your tracking, enhancing data accuracy, or implementing sGTM for GA4, Google Ads, and Facebook, feel free to connect or drop a comment. Let’s build future-proof analytics together! Link: https://lnkd.in/e8-JHJ2d #digitalmarketing #serverSideTracking #GoogleTagManager #GA4 #GoogleAds #FacebookCAPI #attribution #privacy #analytics #modrn
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When you ignore Consent Mode V2, you lose sight of your real data. Dear LinkedIn friend, ask yourself: How much conversion data are you actually capturing today? How much valuable tracking are you missing (from your hard-earned traffic)? Tough answer. Probably more than you think. If you're running GA4 without Consent Mode V2... You're overlooking the most critical tracking foundation: 1. Attribution failing → More "Unassigned" traffic in reports 2. EU/EEA users → Their data isn't being tracked properly 3. Campaign data lost → Missing UTM parameters completely 4. Audiences excluded → Google Ads can't target effectively 5. Missing consent signals → No analytics_storage cookies saved 6. Core events broken → page_view, purchase, add_to_cart incomplete Don't lose focus. GA4 isn't about collecting "some" data. ↳ It's about capturing "accurate" user behavior. Your mission isn't to have "any" tracking setup. ↳ It's to have "compliant" tracking that actually works. More accurate conversions, please → Not more data gaps. Without proper consent signals, you're sending only cookieless pings. No detailed user-level data. No modeled conversions. No proper attribution. How much revenue are you losing because of incomplete tracking? P.S. Need a tracking audit? I'd love to help. ♻️ Repost for someone who needs to hear this today
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𝗜𝘀 𝗚𝗼𝗼𝗴𝗹𝗲 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗦𝘁𝗶𝗹𝗹 𝘁𝗵𝗲 𝗕𝗲𝘀𝘁 𝗶𝗻 𝟮𝟬𝟮𝟲? With newer analytics tools like Mixpanel, Amplitude, and Matomo offering advanced user insights and privacy controls, marketers are asking, does Google Analytics still lead? GA4 continues to shine with AI-powered insights, deep Google Ads integration, and cross-platform tracking. But the real edge lies in combining GA with specialized tools for a complete marketing view. #GoogleAnalytics #GA4 #DigitalMarketing #MarketingTools #Analytics #SEOTools 🔗 https://lnkd.in/d27UE5nc
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📈 𝐅𝐫𝐨𝐦 𝐆𝐮𝐞𝐬𝐬𝐰𝐨𝐫𝐤 𝐭𝐨 𝐆𝐫𝐨𝐰𝐭𝐡: 𝐇𝐨𝐰 𝐒𝐞𝐫𝐯𝐞𝐫-𝐒𝐢𝐝𝐞 𝐆𝐓𝐌 𝐈𝐦𝐩𝐫𝐨𝐯𝐞𝐝 𝐓𝐫𝐚𝐜𝐤𝐢𝐧𝐠 𝐀𝐜𝐜𝐮𝐫𝐚𝐜𝐲 A client once asked me why their numbers in Google Ads, GA4, and Meta Ads never matched. Some conversions were missing, others were underreported, and they felt like they were making decisions based on half-baked data. The problem was simple. Browser-side tracking was getting blocked by ad blockers, cookie restrictions, and browser limitations. That meant lost data and poor optimization. 𝐓𝐨 𝐟𝐢𝐱 𝐭𝐡𝐢𝐬, 𝐰𝐞 𝐢𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭𝐞𝐝 𝐬𝐞𝐫𝐯𝐞𝐫-𝐬𝐢𝐝𝐞 𝐆𝐓𝐌. ✅ It captured data more reliably, even with tracking restrictions ✅ It reduced data loss and gave cleaner, more accurate reports ✅ It allowed us to optimize ads with confidence, knowing the numbers were real 𝐓𝐡𝐞 𝐢𝐦𝐩𝐚𝐜𝐭? Campaigns became more efficient, reporting became clearer, and the client finally felt in control of their marketing spend. Better data meant smarter decisions, and smarter decisions led to growth. 👉 Have you considered moving to server-side tracking for more accurate results? #GoogleTagManager #ServerSideTracking #GA4 #DigitalMarketing #WebAnalytics #ConversionTracking #MarketingTips
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📊 Google Analytics 4 (GA4) primarily tracks user behavior on websites and apps, helping businesses understand how users interact with their platforms, where they come from, and at which steps conversions happen. Let’s break it down step by step 👉 🧠 How GA4 Works (Step by Step) 🩵 1️⃣ Data Collection: GA4 requires installing a tracking code (Google Tag or gtag.js) on your website or app. Whenever a user takes an action such as: ➡️ Visiting a page ➡️ Clicking a button ➡️ Watching a video ➡️ Submitting a form GA4 captures these interactions as Events. 📍 Examples: ➡️ page_view → User visited a page ➡️ add_to_cart → User added a product to the cart ➡️ purchase → User completed a purchase 💬 2️⃣ Event-Based Data Model: Unlike the old Universal Analytics (UA) which was session-based, GA4 is fully event-based — meaning every user action is recorded as a separate event. 🔹 This allows for more detailed insights into user behavior — clicks, scrolls, searches, video views, and more. 📊 3️⃣ User Identification: GA4 tracks each user with a User ID or Device ID, so: If a user accesses your platform via mobile and web, GA4 can recognize them as one user (cross-platform tracking). 🧩 4️⃣ Data Processing: GA4 processes all collected data on Google Cloud servers and organizes it into reports: ➡️ Acquisition – Where users came from ➡️ Engagement – How users interacted ➡️ Monetization – Revenue generated ➡️ Retention – How often users return 🚀 5️⃣ Reporting & Analysis: Using the GA4 Dashboard or Exploration Reports, you can analyze: ➡️ Traffic sources ➡️ Pages where users spend the most time ➡️ Drop-off points ➡️ Campaigns driving the most conversions 📈 In Short: Step Action 1️⃣ Tracking code collects user activity 2️⃣ Stores data as events 3️⃣ Identifies users 4️⃣ Processes data on Google servers 5️⃣ Visualizes results in reports #GA4Tracking #FacebookPixelSetup #FacebookAdsForBusinesses #GoogleAnalyticsExpert #WebsiteTracking #EcommerceSuccess #EcommerceGrowth #DigitalMarketing #ConversionTracking #MarketingDigital #BusinessAnalytics #WebAnalytics #EcommerceMarketing #GoogleAdsConversionTracking #TrackingExperts
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🔗 https://plausible.io/blog/why-analytics-numbers-dont-match