Website analytics should help a team answer a decision: which campaign brought useful visits, which page helped someone act, or whether a redesign changed the way people move through the site. A more elaborate dashboard does not automatically produce a better answer. Measurement depends on what is collected, how events are defined and who understands the resulting numbers.
Google Analytics, Plausible, Fathom, Matomo and Simple Analytics offer different balances of reporting depth, privacy approach and operating responsibility. This comparison uses official sources checked on October 8, 2026. It does not claim that any platform sees every visit, guarantees legal compliance or produces matching traffic totals. The useful starting point is the measurement question your team needs to resolve.
Separate website measurement from business reporting
These products collect or organize website activity. A business intelligence tool can combine that information with other company data, but it does not replace the collection design. If your main task is building a shared reporting model across systems, see our business intelligence comparison. For website measurement, first decide whether aggregate traffic and goals are sufficient or whether you need more detailed event analysis.
The quick difference
| Product | Best fit | Useful strength | Buying boundary |
|---|---|---|---|
| Google Analytics | Web and app event analysis with Google marketing tools | Event model and advertising connections | Implementation, configuration and reporting expertise |
| Plausible | Focused traffic and goal reporting | Simple aggregate dashboard; cloud or Community Edition | Traffic tier and cloud-only premium capabilities |
| Fathom | Teams managing several websites | Traffic, campaigns and events in a focused service | Account pageview allowance and site count |
| Matomo | Organizations prioritizing deployment control | Cloud and self-hosted analytics choices | Hits, premium modules and maintenance responsibilities |
| Simple Analytics | Aggregate measurement without persistent visitor identities | Focused reporting and a complementary GA4 use case | Pageviews, users and retention |
Google Analytics
Google Analytics is a strong candidate when a team needs event-based measurement across websites and apps and connections to Google’s advertising products. Its standard offering is available without a subscription charge. That does not eliminate implementation work: someone needs to define what actions matter and maintain consistent measurement as the website changes.
The current event documentation separates automatically collected and enhanced measurement events from recommended and custom events that require implementation. Important actions can be marked as key events. Custom events may also need custom reporting or explorations to become useful in analysis. The event model rewards a clear naming convention and ownership of instrumentation.
Choose it when the reporting team can manage that depth and the surrounding marketing connections matter. For a small publisher wanting a quick traffic summary, the administrative effort may outweigh the benefit. Include tagging, review and ongoing configuration in the budget even when the software subscription is free. Confirm consent behavior and data settings for the actual implementation rather than copying another site’s configuration.
Plausible
Plausible focuses on a compact website analytics experience with traffic, goals and custom events. Its managed service uses traffic-based plans and monthly or yearly billing choices. The reviewed Starter configuration includes one site and three years of retention. Buyers should compare the selected traffic allowance and feature tier rather than treating every screenshot of the dashboard as an entitlement.
Deployment creates a second decision. Plausible Community Edition is a free, self-hosted AGPL-licensed release, with infrastructure management assigned to the operator. The official comparison identifies premium cloud features absent from Community Edition, including marketing funnels, user journeys, ecommerce revenue goals and SSO. Self-hosting is therefore a different package as well as a different operating model.
Shortlist Plausible when aggregate reporting and a focused dashboard answer the team’s questions. Verify whether the required goal, export and administration features exist in the chosen edition. Price the hosted subscription in its displayed currency and traffic band, or cost the people and infrastructure needed to operate Community Edition. Free source code does not make maintenance free.
Fathom
Fathom is relevant for teams that want a focused hosted analytics service across several websites. Its feature material describes campaign tracking through UTM tags, events that can include purchase value and currency, date comparisons and scheduled reports. Those functions support practical questions such as which campaign generated visits that completed an important action.
The current pricing selector shows a starting configuration of 100,000 monthly pageviews and 50 included sites at a displayed dollar amount of 15 per month. Because the extracted page does not explicitly label that dollar currency, confirm the checkout currency before using the figure in a budget. Confirm any annual-billing option and total commitment in the final proposal. The seven-day trial requires a card, with billing beginning after the trial unless cancelled.
Its appeal is a coherent service for routine reporting, rather than a promise to reproduce every detail of a complex event analytics implementation. Demonstrate the required event, campaign filter and client report. Check how traffic from multiple sites consumes the selected allowance, and how dashboard sharing is controlled. A generous site count is useful only when the account’s traffic capacity also fits.
Matomo
Matomo should be evaluated when deployment ownership and reporting flexibility are central requirements. It offers a managed Cloud service and an On-Premise option. The current comparison includes event and campaign tracking, segmentation, APIs and other analytical functions, while additional features and administration depend on the proposed package.
The Cloud offering meters monthly hits, a unit that should not be assumed identical to another vendor’s pageviews. Its pricing table distinguishes raw-data retention from report retention. On-Premise puts server location and infrastructure operation in your hands; premium plugins can be purchased separately or through bundles. Some bundles have seat and usage boundaries.
Choose the deployment model before calculating cost. For Cloud, request the selected hit allowance, currency, billing interval, overage behavior and modules. For self-hosting, include updates, database capacity, monitoring and recovery ownership. Review tracking configuration for your specific privacy requirements. Control over a server is useful, but it does not by itself define appropriate collection or make every optional tracking feature suitable for every site.
Simple Analytics
Simple Analytics emphasizes aggregate website measurement without cookies, browser storage, visitor IDs or cross-session profiles. Its current positioning includes running alongside GA4 to investigate differences in observed traffic. That is a narrower and more useful claim than assuming one measurement system always provides the definitive traffic total.
The reviewed self-service pricing selector displays EUR 20 per month for 100,000 pageviews, with one user included and an additional EUR 20 per month per extra user. Monthly and annual billing are separate choices. Its free hobby offering lists five websites, one user, one month of dashboard history and a required badge. Enterprise work uses custom pricing.
This belongs on the shortlist when a team values a focused aggregate view and does not need persistent individual journeys. Test whether the required events, exports and reporting access cover the decision. If comparing it with GA4, align dates, filters and page definitions first. Differences may reflect collection and consent behavior; they should not immediately be interpreted as lost revenue or proof that a campaign underperformed.
How to choose a measurement model
Write three questions before installing anything. For example: which campaigns bring engaged visits, which pages lead to an inquiry, and whether the inquiry journey works on mobile. Define what evidence would change a decision. This keeps the evaluation centered on usefulness rather than the number of available reports.
Compare definitions before totals. Document pageviews, visits, users, events and goals as the selected products define them. Decide how to handle internal staff, automated traffic, repeated submissions and time zones. Two dashboards can disagree while both follow their documented rules. Review the collection behavior before changing a marketing budget.
Match deployment to available ownership. A hosted service reduces infrastructure work; a self-hosted product adds control and responsibilities. Identify who maintains instrumentation and who maintains the platform. Record retention and exports so a subscription change does not erase the context needed for later comparisons.
Review the whole page. A privacy-focused analytics script does not describe every other tool embedded on the website. Inventory forms, advertising tags and integrations alongside analytics. Validate the chosen collection approach against the site’s requirements with the relevant internal owner; do not treat a vendor’s general marketing statement as a determination for your entire implementation.
A practical evaluation checklist
- Implement one pageview and one important business action in a controlled evaluation environment.
- Check repeat submissions, campaign parameters and navigation that changes a page without a full reload.
- Reconcile definitions, time zones and filters before comparing two traffic totals.
- Demonstrate an export and the report a nontechnical colleague will actually use.
- Price peak pageviews or hits, required users, retention and operating effort together.
Choose according to the questions
Shortlist Google Analytics for deeper event measurement and Google marketing connections, Plausible for focused reporting with a clear edition choice, Fathom for a hosted multi-site reporting workflow, Matomo for deployment flexibility, and Simple Analytics for aggregate measurement without persistent visitor identities. Pick the system whose definitions and responsibilities your team can explain and maintain.
References
- Google Analytics standard offering and marketing integrations
- Google Analytics events and key events
- Plausible hosted plans and reporting
- Plausible Cloud and Community Edition differences
- Fathom traffic allowances and billing
- Fathom campaign, event and reporting features
- Matomo Cloud and On-Premise plans
- Simple Analytics usage, users and retention
- Simple Analytics collection model
