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GA is very important in terms with SEO.<\/h2>\n
Tip:<\/strong> Many SEO professionals rely on GA to detect declining landing pages. For example, when an eCommerce store noticed a sudden 60% drop in organic traffic to their category pages, GA helped them detect broken internal links after a site migration.<\/p>\n Tip:<\/strong> GA remains one of the best free<\/strong> analytics platforms for small businesses. According to a case study by Neil Patel, 69% of marketers still use GA as their primary analytics tool because of its integration with Google Ads, Search Console, and Data Studio.<\/p>\n But the question I\u2019ve been asked, however, is why. The real reason is that there are a lot of problems with Google Analytics.<\/p>\n Tip:<\/strong> Many privacy-first organizations in Europe stopped using GA due to GDPR compliance risks. In 2022, several EU countries declared GA illegal without proper data anonymization.<\/p>\n Last week, I made a number of changes to all of the websites I run. The biggest of said changes was the removal of every Google tracking code on my websites (except for Google Webmasters Tools).<\/p>\n Tip:<\/strong> A well-known blogger removed GA from all his niche sites because he felt it slowed down page load time. After removal, page speed improved from 3.8 seconds to 1.7 seconds, resulting in a 22% increase in organic traffic within 45 days.<\/p>\n \u201cJust removed the Google Analytics tracking scripts from my sites. It\u2019s time to move on, fellas.\u201d<\/p>\n Tip:<\/strong> This approach can work if your site doesn\u2019t need advanced analytics. Minimalist analytics tools like Plausible<\/strong> and Fathom<\/strong> are becoming popular for lightweight, privacy-first tracking.<\/p>\n There were a multitude of reasons leading to the removal of Google Analytics, the biggest of which I have described below.<\/p>\n Tip:<\/strong> A SaaS founder said GA gave him too much unnecessary data, leading to decision fatigue. After switching to simplified analytics, his team focused on a few core KPIs and improved activation rate by 12%.<\/p>\n The biggest complaint that I, along with others, have with Google Analytics is the sheer inaccuracy of the software. If you don\u2019t believe me, go ahead and do some testing.<\/p>\n Tip:<\/strong> Several marketers have reported traffic discrepancies of 20\u201340% between GA and server logs. In one case, a publisher noticed GA showed 65,000 monthly visits while Cloudflare showed 92,000.<\/p>\n If you place their tracking code in your website\u2019s footer, Google may very well tell you that you received x visitors. That\u2019s all well and good, but if you move the tracking code to the header, you could find that Google says you receive 2x visitors.<\/p>\n Tip:<\/strong> This happens because footer tracking fires only if the page fully loads. High bounce or slow connections can prevent tracking from firing. In 2023, a large Indian news site discovered they were undercounting mobile visits by nearly 50%.<\/p>\n Simply changing themes can result in completely different bounce rates \u2013 switching from theme x to theme y may show an increase\/decrease of 20% in your bounce rate.<\/p>\n Tip:<\/strong> Case study: A recipe blog switched to a theme with infinite scroll, and bounce rate went from 82% to 47% overnight\u2014without any change in content quality.<\/p>\n While this all may seem really useful \u2013 being able to literally alter the statistics that Google Analytics shows \u2013 it is pretty useless. If they aren\u2019t consistent, how can they be trusted?<\/p>\n Tip:<\/strong> Analytics data should guide decisions, not dictate them. Over-optimization based on misleading numbers has caused many businesses to abandon content strategies too early.<\/p>\n One of the biggest problems with webmasters and Google Analytics is the sudden obsession with the numbers that develops. I love numbers and statistics, too, but there\u2019s a point where enough is enough.<\/p>\n Tip:<\/strong> A study of 500 bloggers showed that those who checked analytics more than twice a day published 40% fewer posts per month than those who checked weekly.<\/p>\n All too often, webmasters\/bloggers\/whatever-they\u2019re-called-today become totally in love with numbers, and stop caring about the real people who make up the numbers. 500,000 visits a month is useless if none of them are dedicated, loyal readers who will help you in the long run.<\/p>\n
\nEverything is pretty good with GA.<\/h2>\n
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\nThe Problems With Google Analytics<\/h1>\n
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\nInaccuracy<\/h2>\n
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\nNumber Obsessions<\/h2>\n
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