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description= How analytics works today, and why most data is incomplete. Consent banners, ad blockers, and browser restrictions have fundamentally changed how analytics works.;
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web analytics simple analytics simple analytics product why simple analytics solutions pricing docs log in book a demo open main menu web analytics web analytics shows how people use your website but modern tools often miss a large part of your traffic web analytics is about understanding analytics tools collect data to answer questions like where do visitors come from what do they do what leads to conversions pageviews total pages loaded visitors unique people visiting sessions interactions in a time window bounce rate left after one page conversions actions that matter traffic sources where visitors come from but today how this data is collected and what is missing varies significantly between tools that difference defines modern web analytics the problem 100 visitors arrive tracked 60 missing 40 consent banners block tracking unless users opt in ad blockers prevent analytics scripts from loading browser restrictions limit how users can be identified how web analytics changed web analytics used to be simple you added a script and every visitor was tracked that model no longer works today consent banners ad blockers and browser restrictions mean 20 60 of visitors are missing from most analytics reports this is the consent analytics gap the difference between actual traffic and what your tools report the 4 approaches to web analytics not all analytics tools work the same way each approach solves different problems with different tradeoffs privacy first analytics simple analytics plausible fathom measures traffic without cookies or personal data no consent banners needed increasingly preferred by teams that want complete traffic data without legal overhead best for websites that prioritize privacy simplicity and complete data limitations no user level tracking or deep attribution compare vs plausible vs fathom traditional analytics google analytics adobe analytics tracks individual users across sessions using cookies the original model for web analytics now increasingly problematic due to consent requirements best for teams needing deep attribution for paid advertising limitations requires consent significant data loss complex setup ga4 compare vs google analytics vs adobe analytics product analytics amplitude mixpanel posthog built for tracking individual user behavior inside applications funnels retention feature adoption not designed for website analytics best for apps needing behavioral cohorts and product led growth metrics limitations requires consent complex setup overkill for most websites self hosted analytics matomo umami open source tools you run on your own servers full control but you maintain everything and most configurations still require consent best for teams with devops resources and strict data residency requirements limitations high maintenance often still requires consent banners compare vs matomo compare analytics tools in detail how analytics tools compare tools differ along simplicity and data completeness privacy first no cookies no pii simple analytics plausible fathom umami middle ground configurable privacy matomo piwik pro posthog tracking heavy cookies user tracking google analytics mixpanel amplitude adobe analytics simple complex no consent needed consent needed simple complex lightweight privacy first tracking heavy analytics simple analytics zero trackers plausible anonymized tracking fathom lightweight tracking umami self hosted tracking matomo configurable tracking piwik pro enterprise privacy analytics posthog product tracking google analytics user level tracking mixpanel product analytics amplitude advanced product analytics adobe analytics enterprise suite some privacy first tools still rely on anonymized identifiers simple analytics avoids tracking entirely how to choose the right approach start with your constraints not features privacy vs tracking depth tools that track individuals provide more granular data but require consent and lose traffic learn more simplicity vs complexity enterprise tools offer deep customization but require setup and dedicated analysts learn more marketing vs product website analytics focuses on traffic product analytics focuses on in app behavior compliance requirements if you operate in the eu tools without cookies remove most compliance overhead learn more if you want simple complete website analytics without consent banners a privacy first approach is usually the best fit a better approach modern web analytics a better approach is emerging measuring website traffic without requiring consent instead of tracking individuals these tools focus on aggregate data reducing data loss and simplifying compliance try simple analytics free 100 traffic visibility no data lost to consent no cookies or consent banners gdpr compliant by design setup in a few minutes one script instant insights go deeper best web analytics tools google analytics alternatives analytics without consent consent analytics gap eu hosted analytics gdpr compliance cookieless analytics product features how it works integrations api ai assistant pricing why simple analytics more complete traffic visibility analytics without consent google analytics alternative hosted in eu migrate from ga4 website analytics comparison vs google analytics vs matomo vs plausible vs fathom vs piwik pro vs adobe analytics solutions agencies enterprise eu companies white label learn documentation guides blog changelog partner program free tools company about us our promise what we collect security gdpr compliance subprocessors simple analytics b v privacy terms dpa status
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