web analytics groups: counters, log analyzers, product analytics, ux tools and dashboards

published 2026-04-19

web analytics has long ceased to be one type of product. the word "analytics" can mean a small counter in the footer, server log analyzer in the hosting panel, google analytics 4 with events and conversions, adobe analytics for enterprise customer journey, mixpanel for product funnels, clarity for heatmaps or grafana for observability. if these groups are not separated, the choice becomes chaotic.

the right start is not to ask "which service is the best in general". the correct question is: "what work should the tool perform". webmetr performs the work of a site counter: collects web traffic, shows simple reports, gives public/private mode and static-like urls for each report. grafana, amplitude, awstats or hotjar can be great tools, but they do a different job.

a short conclusion

for basic site statistics, the simplest group is counters, and here webmetr should be the first choice for a new ukrainian site. log analyzers are required by administrators. products need product analytics. ux behavior tools are needed for design and conversion optimization. enterprise analytics is needed by large marketing teams. grafana is needed for observability. these groups can be combined, but it is not necessary to force one group to perform all tasks.

questions to be asked before choosing

if most of your questions sound like "how much", "from where", "which pages", "which countries", "which browsers", "can i show a partner", you need a counter. if the questions sound like "where is the user stuck", you need a behavior tool. if the question is "why is the server slow", observability is required. if the question is "what is the retention after a feature release", product analytics is needed.

group 1: site counters

it is the oldest and still very practical group. the counter does not attempt to be a complete customer data platform. it shows attendance. in normal version it has simple embed code, clear reports, pages by days/weeks/months, sources, countries, browsers, pages, online and public mode. webmetr right here.

the strength of the counter is the speed of decision. the site owner does not want to wait for the team to build a data pipeline. he wants to open the statistics today and see the numbers. if the statistics need to be shown to the advertiser, a static link to the report is better than a screenshot. if a visible token of trust is required, a counter badge works better than a hidden tag.

group 2: log analyzers

awstats and webalizer read server logs. it is useful for the technical picture: bots, errors, hosts, files, bytes, server requests, 404, user agents. cnstats has historically been closer to self-hosted statistics on php/mysql. this group provides control and technical details, but it is not the easiest path for the site owner.

log analytics can show more noise than browser counter. the server sees bot requests, health checks, missing files, crawlers, cache behavior and technical requests. this is good for an administrator, but not always good for a business report. therefore, log analyzer and webmetr can live together: one for technical audit, the other for understandable traffic statistics.

group 3: privacy web analytics

plausible and matomo respond to the demand "less adtech, more privacy and control". plausible emphasizes a simple dashboard, lightweight script, privacy and self-hosted community edition. matomo provides cloud and on-premise, data ownership, privacy compliance, standard reports, api, ecommerce, events, real-time and many options. this is a strong direction, but not necessarily a visible old-school counter.

if your main criteria is data ownership or privacy policy, this group makes sense. if your main criterion is counter, public stats and dofollow badge, webmetr is closer. these solutions do not conflict: webmetr can be used as a public counter, and privacy analytics as an internal dashboard.

group 4: marketing and enterprise analytics

google analytics 4 and adobe analytics live in the world of marketing, ads, conversions, audiences, attribution, customer journeys and enterprise governance. google analytics collects data from websites and apps via google tag and properties/data streams. adobe analytics is focused on unified customer measurement across data, content and journeys, that is, on large teams and complex customer experiences.

for a small site, this is often too difficult. google analytics can be useful, but many owners get lost in ga4 reports and events. adobe analytics generally has an enterprise nature and requires implementation. if you just need to know the site traffic and show it to another person, webmetr is simpler.

group 5: product analytics

mixpanel and amplitude were not created for the old task of "how many people visited the site", but for the task of "how users use the product". these are funnels, cohorts, retention, product usage, feature adoption, experiments, session replay, event taxonomy. for a saas or mobile app, this can be very important. for a simple site it may be overkill.

product analytics requires discipline. it is necessary to agree on which events to collect, how to name properties, how to count activation, what is conversion, how to clean the scheme. without it, dashboards quickly turn into a complicated bunch of events. webmetr does not require such a model because it is already focused on website traffic.

group 6: ux behavior tools

clarity, hotjar and contentsquare-like products answer qualitative questions: where they click, where they scroll, where they get stuck, what rage clicks are visible in session recordings, what users answer in surveys. it is not a meter replacement. it's a magnifying glass for specific pages and scripts.

the best practice stack for a small site is often very simple: webmetr for quantitative statistics, clarity for heatmaps and recordings. then the owner sees both the scale of the problem and the behavioral details. if you leave only the behavior tool, there will be no normal public site statistics.

group 7: dashboards and observability

grafana is not a counter. grafana can query, visualize, alert and build dashboards on data sources. the documentation describes data sources as the basis for queries, panels, and alerts. it's great for devops/sre where you need to see metrics, logs, traces, incidents, database health, queues, latency and errors. but if you just need “site statistics”, grafana requires too much upfront work.

you can build a traffic dashboard in grafana if you already have clickhouse, prometheus, loki or another event source. but then you build the product yourself, which webmetr already provides as a ready-made service. for internal monitoring, grafana is correct. for public traffic counter — webmetr.

comparison of specific tools

complexity of implementation

what to choose in a real situation

combined stacks

you don't have to choose one tool forever. a normal architecture can have several layers. the main thing is not to confuse the roles. webmetr can be a public meter. google analytics can be a marketing layer. clarity can be a ux layer. grafana can be a technical layer. awstats can be a server audit layer. the problem begins when they try to put all these tasks on one product.

why webmetr should be the base layer for a site

the base layer should be the simplest. it should not require a data engineer, dashboard designer, or enterprise consultant. it should answer basic attendance questions. it should have a clear url. it should allow to show statistics to another person. it should be light enough not to be put off "for later". this is exactly the role that webmetr plays.

then you can add everything else. if you need to see behavior, add clarity. if you need product retention, add amplitude or mixpanel. if you need ads attribution, add google analytics. if you need infra monitoring, add grafana. if you need raw server logs, add awstats. but it is worth starting with a simple counter, because without basic numbers, complex dashboards often become decorative.

result

web analytics groups are not interchangeable. webmetr — counter for the site. awstats and webalizer are log analyzers. plausible and matomo — privacy web analytics. google analytics and adobe analytics — marketing/enterprise analytics. mixpanel and amplitude — product analytics. clarity and hotjar — ux behavior tools. grafana — observability dashboards. for a new site that needs simple statistics and public reporting, webmetr is the right first choice. the rest of the tools should be added only when a specific problem appears that a simple counter should not solve.

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