A Practical Guide to privacy focused web analytics
Wallet comparisons, token docs and on-chain identities make tracking hard to justify. What privacy first analytics for crypto blockchain measures instead.
Insights, tutorials, and updates from the Flowsery team
Wallet comparisons, token docs and on-chain identities make tracking hard to justify. What privacy first analytics for crypto blockchain measures instead.
Growth data without the overhead: cost-effective privacy-focused analytics for small startups, from a minimal event plan to goals, funnels and UTM hygiene.
Privacy friendly analytics for nonprofits protects supporter trust and cuts banner friction. What to track, sensitive-page rules, donation attribution.
Privacy friendly search engine alternatives differ more than they look. DuckDuckGo, Brave, Startpage and Mojeek on index, defaults and result quality.
Consent, data mapping, DSAR, DPIA, vendor risk: a privacy management tool solves one of five different problems. Which category your obligations need.
What a website policy must disclose, from collection to rights and contacts, and where privacy policy requirements analytics quietly adds more obligations.
Under Google Analytics guidelines, "we use cookies to improve the site" is not enough. What to disclose about identifiers, ad features, opt-outs, transfers.
France, the EU and the UK are all moving at once in 2026. Which changes actually bind analytics teams, and the setup that survives either direction.
Search, mail, storage, maps and analytics all have privacy-respecting replacements. Which swaps pay off first, and a migration order that avoids chaos.
These privacy tools cover search, browsing, email, passwords, VPNs, messaging, and other quick wins that improve your protection in under an hour.
People know more about data collection than a decade ago yet rarely change defaults. What that gap means for consent rates and analytics accuracy.
Consent overhead, modeled gaps, tag sprawl and ad coupling are the reasons to reconsider Google Analytics, plus a test for whether GA4 still fits.
A Google Analytics close-down means finding every tag first: templates, GTM, CMS plugins, ecommerce apps. Nine steps, plus how to keep the history.
Doing SEO without Google Analytics changes nothing about crawling or ranking. Here is what genuinely breaks during removal, and why page speed improves.
Apple's ITP does not block Google Analytics Safari requests outright; it strips the cookies behind them. What breaks in GA4, and how to read the gaps.
Safari's Privacy Report shows visitors your Safari tracking issues. How to audit third-party scripts, get blocked trackers to zero, and keep your analytics.
Pageviews cannot tell you whether someone read or bounced. How scroll depth is measured, which segments matter, and where the CTA should really sit.
Not every link is worth the risk. How to earn SEO backlinks from relevant sites, measure the traffic they send, and audit a profile you inherited.
AI overviews, answer boxes and chat assistants absorb clicks that used to reach your site. What still works, and what to measure instead of visits.
Assign the variant before the page renders. How Fresh's island architecture keeps experiments fast, and how to design exposure events that stay private.
A server-side tagging GDPR compliant claim has to survive CNIL's proxy conditions. What server-side GA improves, what it never fixes, and when to switch.
Shopify knows orders; it does not know the whole marketing story. Which additions cover attribution, content performance and privacy-friendly tracking.
Spam, dark patterns and fake stores wrecked buyer trust. What legitimate small sellers lose, and which trust signals actually change the outcome.
Spy pixels are invisible images embedded in email that reveal when you open a message, where you are, and what device you use.
Behind the hype: how attribution inflates targeted digital advertising effectiveness, what publishers actually earn, and which alternatives work better.
Touchpoints closer to conversion carry more weight under time decay attribution. How to pick a half-life, and when the model quietly misleads you.
Four categories of data analytics platforms solve different problems. Compare privacy-first web, product, BI and data-prep tools before you commit budget.
A privacy-friendly analytics tool can mean simple, open source, or enterprise-governed. Compare Plausible, Fathom, Matomo, Umami and Piwik PRO by tradeoff.
The best WordPress plugin for analytics depends on where the data should live: Google's Site Kit, self-hosted Matomo, cookieless Koko, or Jetpack Stats.
A browser can estimate article progress; only the server knows an account was created. How to combine both, deduplicate, and skip the personal data.
A downloaded whitepaper beats ten pageviews for intent. Four ways to track file downloads analytics can use, from data attributes to plain server logs.
Start tracking outbound links to see which partners, citations and resource pages pull visitors away, and which content gap sent them looking elsewhere.
UTM discipline, defined conversion goals and a clear view of GCLID auto-tagging give you directional campaign ROI without any third-party cookies.
Useful HTML5 video analytics needs six events, not a per-second stream. The schema for HTML5, YouTube and Vimeo, plus the funnels worth building on it.
Valid data tracking consent has to be freely given, specific, informed and easy to withdraw. The banner patterns that quietly invalidate all of it.
Tracking without cookies lets you measure form conversions while avoiding the personal-data risks that often come with traditional form tracking setups.
PHI is health information that identifies a person. The 18 identifiers, where analytics quietly creates them, and how to measure healthcare sites safely.
Universal Analytics shutdown lessons for teams cleaning up old dashboards, preserving exported data, documenting metric changes, and reducing vendor dependence.
Sessions became events, conversions were redefined and old history did not carry over. The Universal Analytics vs GA4 differences that changed your numbers.
Splitting performance by channel, device, location or content type turns a status update into a decision. Seven practical uses, without the privacy debt.
Five tags describe the link, not the person, which is why they survive tracking protection. Naming rules, and why internal links must never carry them.
Assign one owner, use one link builder, standardize channel labels: the UTM tagging workflow that keeps campaign reporting readable as a team grows.
Broken tracking fails silently: one missing template, a CSP block, a duplicated tag. Nine checks, including what your payloads are actually sending.
Sources, engagement and quality: the intermediate metrics in web analytics only pay off when each one is defined tightly enough to trigger an action.
A strong web analytics strategy helps you choose the metrics that match your goals, avoid vanity numbers, and build a focused dashboard.
Traffic dropped and nobody knows why. A website traffic loss audit separates tracking bugs from real audience loss, source by source, before you edit pages.
One cookie keeps you logged in; another follows you across thousands of sites. Cookie types, consent rules, and what website owners should audit first.
The answer to what data does Google know about me spans search, YouTube, location, Gmail, purchases and ad profiles. Plus how to see and switch each off.
Which URL parameters iOS 17 strips, what still works, and what marketers should change once you know what is cross site tracking actually covers.
Page type, traffic source and visitor intent decide what is a good bounce rate. Benchmarks by page type, plus the metrics worth reading alongside it.