Dylan Laseur

How to track your website traffic for free. (Including visits from ChatGPT and other AI tools.) Website traffic data isn't just numbers ↳ It shows what’s working. ↳ It reveals new opportunities. ↳ And it tells you where you’re losing potential customers. But the problem is: → Most analytics tools only show part of the story → Updates take 24 to 48 hours → Referral sources are vague → AI-driven visits from tools like ChatGPT, Perplexity, and Gemini? Invisible Without this visibility: → You can’t see which content is trending right now → You don't know when AI search recommends your pages → You have no clear way to measure what’s actually converting Ahrefs Web Analytics fills that gap. → Real-time visitor data → AI search traffic tracking → Conversion insights in one simple dashboard And yes, it’s free. Here’s how to set it up: Step 1: Install Ahrefs Web Analytics → Add the JavaScript snippet to your site’s header → or use Google Tag Manager → Verify installation to start collecting data instantly Step 2: Monitor Visitors in Real Time → See visitors browsing patterns live → No more 48-hour delays Step 3: Track AI Traffic → See visits from ChatGPT, Perplexity, Gemini, and more → Discover which pages AI is recommending in search results Step 4: Analyze Visitor Behavior → Follow user journeys and track conversions → Spot drop-off points, measure ad performance, and track outbound clicks Step 5: Stay Free Until You Scale → Monitor up to 1M monthly events at no cost → Add unlimited verified sites under the free plan Get the full picture, in real time. 📌 Try Ahrefs Analytics today (it’s free): https://bit.ly/4orROYJ 🔄 Repost to help others with SEO P.S. This post is in partnership with Ahrefs, #partnership #sponsorship #SEO #WebsiteAnalytics #WebsiteTraffic #MarketingTools #AhrefsPartner #SponsoredByAhrefs

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“I spend $4.5k/month on Google Ads… but I have no idea if it’s working.” A real quote from a message on LinkedIn last week. And honestly? Not uncommon. Here’s why this happens (even with a decent-looking campaign): ❌ No clear conversion tracking - phone calls, form fills, chats? Zero data. ❌ Optimising for clicks, not leads - high CTR ≠ high intent. ❌ Google Ads account and website aren’t speaking the same language. ❌ No idea what success looks like - no targets, no benchmarks, just spend. Want to fix it? ✅ Track real conversions - not just traffic. ✅ Use call tracking tools and CRM integrations to close the loop. ✅ Set up clear KPIs: CPL, conversion rate, ROAS - and actually review them. ✅ Align ad copy with landing pages - same message, same offer. Google Ads isn’t a “set and forget” platform. If you don’t know what you’re looking for, it’ll happily spend your money - without telling you what you got back. #GoogleAds #PaidSearch #PPC

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Pretty shocking developments in paid search for B2B: • Advertising on Google became 29% more expensive in one year (29% CPC increase for non-branded keywords) • People click 26% less on Google search ads compared to a year ago (CTR decreased by 26 % - probably because AI results push paid results down) Nevertheless, B2B businesses are still spending 44% (!) of their budget on Google Search Ads. Meanwhile, ChatGPT is building its advertising functionality: in 2026 free users are expected to see search ads. Currently ChatGPT is hiring a paid marketing platform engineer to build this functionality. TL;DR:  Marketers are paying more for less on Google, while the next ad platform is being built under their noses. *Data by Dreamdata

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If your SaaS ad design is still a screenshot in a laptop… you’re already invisible. Most B2B SaaS creative looks the same: → A product UI mockup stuffed inside a laptop or browser frame. → A couple of headlines and arrows pointing at features. → That’s it. The problem? Nobody stops scrolling for another generic dashboard. It’s expected. It blends in. It doesn’t move emotions or tell a story. Here’s what to experiment with starting this month: 👉 Human context > UI frame Show the outcome in action: the marketer saving time, the engineer unblocking work, the CFO smiling at a report. 👉 Metaphor visuals Replace dashboards with bold metaphors: broken chains, overflowing inboxes, clean vs. messy desks. Visuals people feel. 👉 Social proof first Customer logos, quotes, and metrics front and center. Let others sell your product. 👉 Motion + contrast Animations, bold typography, and disruptive color blocking beat flat UI shots every time. 👉 UI as supporting actor When you show product, isolate *one* key feature or outcome. Don’t cram the entire platform into a mockup. B2B SaaS SaaS buyers don’t buy “screens.” They buy relief from pain. They buy better outcomes. Stop hiding behind laptop mockups. Start designing for attention. —- B2B SaaS companies, need high-performing ad creatives like this one we designed for Instantly.ai ? Check out Hey Design. 

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This pricing tweak made €300K+ in extra revenue: Most brands display discounts wrong - and it’s killing conversions. We ran a simple test: showing the original price next to the discounted price. The result? +3.6% in revenue with 0 extra ad spend. Here’s how to display prices (for high conversion rates)

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[Stop following English-market SEO advice if you're not in English markets] Most waste months implementing "proven" SEO strategies... That were designed for completely different markets. All I see is gurus preaching topical authority and EEAT signals... But my podcast guest Niels Zee targetes Dutch users who don't care about those factors. Here are some facts: 🔵 Different markets have different algorithm weights 🔵 What works in the US fails in smaller GEOs 🔵 Competition levels vary drastically by language 🔵 Local search behavior patterns differ 🔵 Domain authority means nothing in some markets Before copying ANY strategy, ask: ✅ What market is this expert operating in? ✅ How competitive is their niche vs. mine? ✅ What's their site size compared to mine? ✅ How long have they been in business? ✅ What's their traffic volume and source mix? The algorithm isn't the same everywhere. Context is everything in SEO. What works in your market might be completely different from what you're reading online.

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+81.5% Clicks & +70.2% Impressions in 28 Days! 🚀 What drove this growth? Site-wide N-grams. This concept, rooted in Koray’s Framework, is key for site-wide topicality signals. Google evaluates a site’s lexical patterns to determine its primary topic — something we’ve seen confirmed in Google’s API leak (thanks to Erfan) through the siteFocus property. A website deeply connected to a topic must consolidate relevance across all angles. However, many SEO campaigns fail to optimize the ratio between main content vs. boilerplate content (headers, footers, disclaimers). In one of my early SEO case studies, I removed the entire header and footer menus (kept only the logo!) to reduce cost of retrieval and PageRank dilution. Each page had only 3 internal links with unique anchor texts — and yes, if you’ve been following me for years, you probably remember that project! Pro Tip: • Even a long legal disclaimer or copyright notice can dilute your site’s topical relevance. • I often use dynamic headers & footers that adapt to the topic segment of the site. This sculpts PageRank and strengthens topical focus. • Varying anchor texts in boilerplate links can further refine the source-target relevance. Important Note: Site-wide n-grams aren’t about keyword spamming. Learn term-weight calculations and encapsulate semantic relevance correctly. The site in the screenshot was hit by HCU, but we recovered it by moving unrelated topics to subdomains. By reducing total site size and consolidating topical focus, we achieved a positive re-ranking — as the graph clearly shows. Want to master these strategies? Join our community & course: https://lnkd.in/dp8mGy8E

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The biggest mistake in acquisition today? Optimizing for the first conversion instead of the right customer. For many advertisers, campaigns are still judged by sign-ups, app installs, or first purchases. The problem is that these signals almost never predict which users will deliver long-term value. Often the only way to scale efficient acquisition is to optimize toward predictive LTV signals: proxies that identify high-value users early enough for platforms like Google and Meta to act. We’ve outlined a 5-step plan to help acquisition teams make this shift. Get the guide here: https://lnkd.in/dFASEjhB

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