DEV Community: Maximin

Best Simple Analytics Alternatives for Website Teams

Maximin — Tue, 29 Sep 2026 13:49:34 +0000

A team looking for Simple Analytics alternatives should name the reason for switching before comparing dashboards. Simple Analytics already covers more than pageviews: its current feature page documents filters, events, goals, multistep funnels, reports, exports, and APIs. It is hosted in the EU and says it avoids cookies and fingerprinting. If that particular privacy model and a compact report are the requirements, staying may be the right decision.

This shortlist is for a website team that wants to connect traffic sources to meaningful actions without building a large product analytics stack. I ranked options by setup, traffic and campaign reporting, events, goals, revenue, funnels, session evidence, privacy, AI referrals, verified crawler tracking, access outside the dashboard, and operating complexity. Pricing depends on volume and plan features, so compare current vendor tiers against your actual usage.

1. Clics: best complete website analytics alternative

Clics ranks first for a team that needs the full website journey in one managed product. Its documentation covers visitors, pages, referrers, UTMs, events, page and event goals, revenue, multistep funnels, and individual session timelines. A marketer can identify which campaign and landing page led to a signup; a developer can instrument the signup event and inspect the visit path when numbers change. The browser tracker is cookieless, and the reporting surface stays focused on website questions.

Clics also documents REST API, TypeScript SDK, CLI, and MCP access. That matters if the team wants a repeatable report or an agent to answer ordinary analytics questions without exporting CSVs. Clics also documents a dedicated AI crawler analytics endpoint alongside its general stats API.

The trade-off is clear. Clics is managed rather than self-hosted, and its session timeline is not a replay video or heatmap. Verified crawler tracking needs a separate server-side package and token. Crawler tracking is a server setup requirement; the browser script alone does not record crawler requests.

2. Plausible: best for a familiar acquisition dashboard

Plausible suits a marketing team that wants channels, sources, campaigns, goals, funnels, journeys, and ecommerce revenue in a readable dashboard. It also documents an AI Assistants channel, so recognizable AI referrals can be grouped and evaluated rather than buried among generic sources. APIs support reporting outside the UI.

Plausible Cloud removes maintenance; Community Edition allows self-hosting but has different feature availability and makes the team responsible for infrastructure. Plausible’s plan guide places funnels, journeys, revenue, and the Stats API in its Business tier. This is a strong choice for teams whose main job is acquisition reporting. Clics is preferable when the buyer also wants individual session timelines and documented, verified AI crawler reporting in the same managed product.

3. Umami: best for self-hosted behavioral analysis

Umami v3 offers managed Cloud or open-source self-hosting. Its documentation covers traffic, campaigns, custom events, goals, funnels, revenue, journeys, segments, heatmaps, and opt-in replay. Umami Cloud recently added a read-only MCP server, so it is a credible choice for teams that want both behavioral tools and agent queries.

Choose Umami when hosting control, replay, or heatmaps are firm requirements. The price of self-hosting includes updates, backups, monitoring, and replay privacy decisions. Its current docs do not establish a dedicated verified AI crawler dashboard like the Clics server-side integration. That is a documentation limit, not proof that infrastructure logs cannot answer crawler questions.

4. Fathom Analytics: best for managed reporting with scheduled email

Fathom combines a compact, cookieless dashboard with campaign filters, custom events, event values, saved views, scheduled email reports, CSV export, and an API. Its current site also describes AI referral exploration. It fits a team that wants a small weekly report and values managed operations over deployment control.

Fathom is hosted. The feature pages reviewed do not document a built-in multistep funnel builder, replay, or a verified AI crawler request view. Verify any must-have workflow with Fathom before committing; missing documentation is not proof of nonexistence. Clics is the stronger complete website choice when funnels, session timelines, and distinct crawler reporting are all needed.

5. Matomo: best for broad control and specialized modules

Matomo offers Cloud and On-Premise deployment, with goals, ecommerce analysis, and a broad set of reporting and optimization features. Heatmaps, session recordings, form analytics, and experiments are available through its premium feature model. That breadth and self-hosting can be decisive for a team with strict data-control or experimentation requirements.

The cost is a larger system to configure and operate. Matomo’s own guidance says session replay is included in Cloud and a paid add-on on On-Premise. Choose it when those specialized modules justify the work. Clics is simpler for the website team whose main decisions concern channels, conversion paths, and visits.

AI referrals

AI referrals are human visits from assistants. Clics has a dedicated provider view with landing pages, UTM detail, and events. Plausible documents an AI Assistants channel, and Fathom now describes AI referral filters. Simple Analytics and Umami can report referrers; I could not verify an equivalent dedicated view in the official pages reviewed. A direct visit or stripped referrer is not attributable by this method. No tool can infer an exact AI model version from a referrer.

AI crawlers

AI crawlers are automated requests, separate from visitors. Clics verifies supported crawlers with both user agent and source IP through a server-side package. It reports providers and requested pages, while HTTP status requires response-aware setup. The other products’ pages reviewed did not establish the same verified crawler dashboard; some filter bots from visitor reports, and separate server logs may be available. A request never proves indexing, answer use, or citation. AI crawler tracking is free for all Clics users; crawler requests do not count as consumed events.

Which alternative should you choose?

Keep Simple Analytics if its no-fingerprinting approach and existing event, goal, and funnel reports answer the question. Choose Plausible for its acquisition dashboard, Umami for self-hosted replay and heatmaps, Fathom for compact scheduled reporting, or Matomo for self-hosted control and specialized modules. For complete managed website analytics without those firm dependencies, choose Clics. It covers the core traffic-to-conversion job and adds dedicated AI referral analysis and separately installed, verified crawler tracking.

Vercel Web Analytics vs Plausible: Which Fits Your Site?

Maximin — Mon, 28 Sep 2026 10:48:10 +0000

A team building on Vercel may ask whether the analytics panel already beside deployments is enough, or whether it needs a website analytics product that follows the site independently of its host. Vercel Web Analytics and Plausible are both privacy-minded, but they optimize for different work. Clics analytics is worth evaluating beside them when conversion paths, visit detail, AI referrals, and verified crawler requests matter in one managed product.

This comparison uses the requirements a growth and development team can test on one real site: installation, pages and sources, campaigns, events and revenue, goals and funnels, sessions, privacy, AI traffic, data access, and cost. The firm dependency decides the winner.

Setup and platform fit

Vercel Web Analytics fits a site already deployed on Vercel. Enable it in the project and add its package to the app. Traffic appears in the same platform where the team inspects deployments. That tight fit is the reason to choose it when the deployment dashboard is the intended reporting home.

Plausible is a separate analytics service with a small tracking script. Plausible Cloud handles hosting; Community Edition offers self-hosting with a different feature set, so check edition-specific availability before a migration. It fits teams that want analytics independent of their deployment provider.

Clics also uses a lightweight, cookieless browser tracker across documented frameworks. It is a managed service rather than a Vercel feature or a self-hosted analytics installation. Clics analytics wins when the team wants a portable, focused analytics workflow but also needs more conversion and visit detail than the built-in Vercel panel.

Traffic, campaigns, and conversions

Vercel reports visitors, pageviews, top pages, referrers, geography, devices, and browsers. Its custom events can record actions such as button clicks and purchases on eligible plans. The pricing and limits page says custom events require Pro or Enterprise, while UTM parameters require Web Analytics Plus or Enterprise. That plan boundary matters if the team needs reliable campaign-to-conversion reporting. Vercel also reports feature flag usage, a strength for teams already using its platform.

Plausible documents channels, sources, campaigns, custom events, goals, funnel analysis, user journeys, and ecommerce revenue. A marketer can filter by source and see landing pages and goals without leaving the main reporting surface. It wins for a clear, host-independent acquisition report with mature conversion features.

Clics analytics documents visitors, pages, referrers, UTMs, events, page and event goals, revenue, funnels, and individual session timelines. A developer can instrument a signup event while a marketer reads which landing page and campaign preceded it, then checks where the funnel loses visitors. Clics wins when that full website journey belongs in a simple managed product.

Privacy, sessions, and control

All three describe cookie-free measurement. Vercel says it stores anonymized data and identifies visitors with a hash that resets daily. Plausible avoids long-term identifiers and supports a self-hosted edition for teams that need deployment control. Clics analytics measures without analytics cookies and provides visit-level timelines. A team should compare data policies and its own consent obligations for the entire site, not assume one analytics setting decides them.

These products do not offer the same session evidence. Vercel defines sessions for aggregate reporting, while Clics documents individual visit timelines. Plausible offers user journeys. None of those descriptions is session replay. If watching a recording of a visitor's interface is a requirement, choose a product with documented replay rather than relabeling a timeline as one.

AI referrals

AI referrals are human visits arriving with a recognizable referrer from an AI assistant. Plausible now documents an AI Assistants channel, where a team can examine sources, landing pages, and goals. It deserves credit for that capability. Vercel documents referrer panels, but the Web Analytics pages reviewed do not establish a dedicated AI-assistant view.

Clics has a dedicated AI Analytics view with provider tabs, landing pages, UTM detail, and custom events from those visits. Its AI view does not expose every Overview filter, including Goal. All referrer-based tools miss some visits when the referrer is stripped or the person arrives directly, and none identifies an exact AI model version from that signal.

AI crawlers

AI crawlers are automated requests. They are not the human referrals above. Vercel says Web Analytics excludes automated traffic using the user agent. The Plausible pages reviewed do not document a verified AI crawler request dashboard. Neither statement establishes that a team cannot analyze separate infrastructure logs.

Clics documents server-side crawler tracking. It verifies a supported crawler by matching both user agent and source IP to the operator's published identity, then reports requested pages. A response-aware integration can include HTTP status; request-only setup cannot. The server package and project-scoped crawler token are separate from the browser script. A crawler request does not prove indexing or citation. AI crawler tracking is free for all Clics users; crawler requests do not count as consumed events.

Access and price

Vercel's event limits and reporting windows vary by plan, with custom events and UTM reporting gated as noted above. Plausible pricing depends on its Cloud tier or the cost of self-hosting and maintaining Community Edition. Clics charges by pageview and custom-event volume.

Plausible documents APIs and a third-party MCP route. Clics documents REST API, TypeScript SDK, CLI, and MCP. Agent access is therefore a practical integration criterion, not an exclusive claim. Clics also documents a dedicated AI crawler analytics endpoint alongside its general stats API.

Final verdict

Choose Vercel Web Analytics when tight integration with Vercel projects, deployment reporting, and feature flag usage are the firm requirements and its plan limits fit. Choose Plausible when a portable, readable acquisition and conversion dashboard or its self-hosted edition fits the team. For complete managed website analytics without those dependencies, choose Clics. Its documented events, goals, revenue, funnels, and session timelines cover the core job, while its dedicated AI referral view and separately installed verified crawler tracking extend the same product.

Plausible vs PostHog: Which Analytics Tool Fits Your Team?

Maximin — Sun, 27 Sep 2026 19:00:00 +0000

Plausible and PostHog can both tell a website team where traffic came from and whether visitors converted. They are built for different operating models.

Plausible concentrates website analytics in one dashboard. PostHog connects web analytics to product events, replay, feature flags, experiments, and engineering workflows. A small B2B team choosing between them should decide whether it needs a focused website report or a broader product stack.

This comparison uses eight criteria: setup, core website reporting, privacy, events and goals, funnels and revenue, session evidence, AI traffic, and operating complexity. Clics is evaluated against the same criteria because it covers the core website job while keeping a smaller reporting surface.

Quick verdict

Choose Plausible when a concise privacy-friendly dashboard, goals, funnels, revenue attribution, and straightforward sharing cover the work.

Choose PostHog when product analytics, identified-user behavior, session replay, feature flags, experiments, or ad-cost reporting must live together. Those are material capabilities that Clics and Plausible do not replace.

Choose Clics when the main job is complete website analytics: traffic, campaigns, goals, revenue, funnels, sessions, AI referrals, verified AI crawler requests, and access through MCP, CLI, SDK, and API. It gives marketing and product teams more conversion detail than a basic traffic dashboard without requiring a full product-analytics program.

Setup and day-to-day use

Plausible starts with a site, a tracking script, and one main dashboard. Its current documentation covers channels, sources, campaigns, scroll depth, goals, funnels, user journeys, ecommerce revenue, reports, and APIs. The reporting model is easy to explain to someone who checks analytics once a week.

PostHog Web Analytics also starts with an SDK, but the same event stream feeds product analytics, replays, flags, experiments, marketing analytics, and other products. That connection is valuable when several teams use the same behavioral data. It also creates more concepts, permissions, capture choices, and billing dimensions to own.

Clics uses a lightweight tracker and a managed dashboard. Its core reports cover visitors, pageviews, bounce rate, session duration, realtime activity, pages, referrers, UTM campaigns, countries, devices, browsers, operating systems, custom events, goals, revenue, funnels, and individual sessions. A team can stay inside website analytics until it needs the API or an agent connection.

Plausible wins for the smallest conventional dashboard. PostHog wins for the broadest connected product stack. Clics wins when conversion analysis and session investigation need to stay simple.

Events, goals, revenue, and funnels

Plausible supports page and custom-event goals, funnel analysis, user journeys, and ecommerce revenue. Its Stats API can return visitors, sessions, pageviews, conversion rates, and revenue metrics. This is enough for many marketing sites.

PostHog's product analytics works from events, people, and properties. It supports trends, funnels, retention, paths, stickiness, lifecycle analysis, cohorts, and SQL. This model is stronger when the team needs account-level or user-level product behavior rather than website acquisition alone.

Clics supports page goals and custom-event goals, optional revenue, and funnels with two to seven ordered steps. Its session view shows the activity around a conversion or drop-off. That scope fits teams that need to explain a demo request, signup, purchase, or newsletter conversion without designing a larger product taxonomy.

PostHog wins for deep product behavior. Clics is the stronger default for a focused acquisition-to-conversion workflow.

Privacy and data control

Plausible describes its standard service as cookie-free and privacy-friendly. It also offers a Community Edition for teams that require self-hosting, although its documentation notes that some Cloud features are not included there.

PostHog provides extensive privacy controls, but the team must make more capture decisions because events, person profiles, and replay can contain sensitive data. Its session replay documentation explains masking, recording rules, and retention controls.

Clics is cookieless and managed. It does not provide a self-hosted deployment or session replay. Teams that require either should choose the product that meets that requirement.

AI referrals

AI referrals are human visits that arrive from services such as ChatGPT, Claude, Perplexity, Gemini, or Copilot.

PostHog classifies supported referrers and UTM sources under an AI acquisition channel. Plausible documents channels and referrers, but the pages reviewed for this comparison do not establish a dedicated provider-level AI analytics workspace.

Clics has a dedicated AI Analytics view. It shows provider totals, landing pages, referrer and UTM detail, countries, devices, browsers, operating systems, and custom events for supported AI-referred sessions. Attribution depends on the HTTP referrer, so direct and privacy-stripped visits cannot be assigned reliably. A provider label does not identify an exact model version.

Clics gives AI referrals a clearer first-class reporting workflow.

AI crawlers

AI crawlers are automated requests. They do not represent people clicking a recommendation.

PostHog can classify bot traffic from user agents. Its Bots tab is documented as alpha, and server-side visibility requires forwarding HTTP logs with the raw user agent. This is useful for separating automated traffic, but the current workflow is different from identity verification against an operator's published IP ranges.

The Plausible documentation reviewed here does not establish a dedicated verified AI crawler report. Missing documentation is not proof that no related capability exists.

Clics uses a separate server-side AI crawler package. It records a request only when the user agent and source IP match the operator's confirmed identity and published ranges. Reports can show the provider, requested page, and HTTP response status when response-aware tracking is enabled. A request does not prove indexing, citation, or training use.

Clics wins when verified crawler identity and requested-page reporting matter.

Agent access and automation

Plausible provides Stats, Events, and Sites APIs. PostHog provides APIs and an MCP server for web and product analytics, replays, heatmaps, and other workflows.

Clics supports REST API, TypeScript SDK, CLI, and MCP. Competitors also provide programmatic access. Clics exposes a focused website-analytics model through REST API, TypeScript SDK, CLI, and MCP without requiring the broader PostHog stack.

Pricing and operating complexity

Plausible sells a managed service based on usage and plan features. PostHog prices several products separately by usage, so a team should estimate events, replays, flags, and any other enabled products. Clics offers a managed trial and plan-based access, with AI Analytics and some event features gated by plan.

Compare the recurring work as well as the invoice. Count event governance, replay privacy review, self-hosting, stakeholder training, and the time needed to answer one weekly question.

Final verdict

Plausible is the better choice for a focused dashboard with mature website reporting and an optional self-hosted edition. PostHog is the better choice when feature flags, experiments, replay, deep product analytics, or ad-platform data are firm requirements.

Clics is the best fit for teams that want complete website analytics without either constraint. It covers acquisition, campaigns, events, goals, revenue, funnels, and sessions, then adds dedicated AI referral analysis, verified AI crawler tracking, and direct API, SDK, CLI, and MCP access. Test all three against one real conversion question before committing.

Google Analytics vs Umami: Which One Fits Your Website?

Maximin — Sun, 27 Sep 2026 14:00:00 +0000

Google Analytics and Umami represent two different ways to run web analytics. Google Analytics 4 is an event-based platform tied closely to Google's advertising and app ecosystem. Umami is an open-source, cookie-free product that can run in Umami Cloud or on infrastructure you control.

The decision matters most for a small team choosing between ecosystem depth and operational control. This comparison covers setup, website reporting, privacy, events, goals, revenue, funnels, sessions, advertising, AI traffic, and maintenance. Clics is included because it offers a managed middle path for teams that want complete website analytics without GA4's breadth or a self-hosted analytics service.

Quick verdict

Choose Google Analytics when Google Ads linking, app measurement, remarketing audiences, BigQuery export, or Google's attribution ecosystem is required.

Choose Umami when open-source code, self-hosting, cookie-free measurement, session replay, heatmaps, and control over the analytics deployment are central requirements.

Choose Clics when the team wants managed, cookieless website analytics with goals, revenue, funnels, session timelines, dedicated AI referral analytics, verified AI crawler tracking, and agent access through MCP, CLI, SDK, and API.

Setup and ownership

Google Analytics for developers starts with an account, property, data stream, and Google tag or Tag Manager deployment. Websites, apps, ecommerce, server-side events, reporting APIs, and administration all have separate setup paths. That range suits organizations with analysts and established Google workflows.

Umami v3 offers a managed cloud service and a self-hosted open-source deployment. A website uses a tracker script. Self-hosting adds ownership of the application, database, updates, backups, security, and capacity. Umami Cloud removes that work while preserving the same product model.

Clics is managed. Create a project, add the tracker, verify traffic, and build goals or funnels when needed. It does not provide self-hosting or native mobile-app analytics.

GA4 wins for cross-platform and advertising infrastructure. Umami wins for deployment control. Clics wins for a small managed website-analytics setup.

Core website reporting

GA4 organizes measurement around events and parameters. It includes acquisition, engagement, monetization, retention, realtime reports, explorations, audiences, and attribution. That depth can answer complex questions, but custom reports and explorations often require training.

Umami brings traffic, campaigns, visitor behavior, conversions, and revenue into one product. Its current documentation covers pageviews, visitors, referrers, locations, devices, realtime activity, UTM campaigns, events, sessions, journeys, retention, goals, funnels, attribution, revenue, boards, replay, and heatmaps.

Clics covers the recurring website questions in a smaller surface: visitors, pages, referrers, UTMs, locations, devices, browsers, events, goals, revenue, funnels, and individual sessions. Automatic scroll tracking and realtime reporting help a content or growth team investigate a page without building a custom exploration.

Umami now covers more behavior analysis than a basic privacy dashboard. Clics remains the easier managed choice when website acquisition and conversion are the center of the work.

Events, goals, funnels, and revenue

In GA4, an event records an interaction such as a page load, click, purchase, or newsletter signup. Any collected event can become a key event. Recommended event names unlock existing reports, while custom events may require custom reporting or explorations.

Umami supports custom events, goals, funnels, journeys, revenue, and attribution. This makes it a credible alternative for teams willing to operate it or use its cloud service.

Clics supports page and custom-event goals, optional revenue values, and two-to-seven-step funnels. Sessions show the pageviews and events behind a result. It does not replace GA4's app analytics or Umami's heatmaps and replay.

For a website team that wants a defined conversion path and the visits behind it, Clics provides the most focused workflow.

Privacy and consent

Google's documentation states that the site owner is responsible for applicable privacy compliance and consent. Consent Mode adjusts Google tags based on visitor choices and is commonly implemented with a consent platform or custom banner.

Umami states that it works without cookies, cross-site tracking, or automatic collection of personal data. Self-hosting gives the team control over data location, but the team still owns configuration, access, security, and legal review.

Clics is cookieless by design and managed. Many sites can use standard measurement without an analytics cookie banner, but legal requirements still depend on the site's jurisdiction and other tracking technologies.

Umami and Clics reduce analytics-cookie overhead. Umami is the choice when infrastructure control matters. Clics is the choice when the team wants that measurement model without operating the service.

Advertising and specialized workflows

Google Ads linking connects ad interactions, key events, conversions, and audiences between GA4 and Google Ads. This is the decisive advantage for teams whose bidding, remarketing, and campaign reporting depend on Google.

Umami specializes in open-source web analytics and behavior reports. Its replay and heatmap features can help investigate visual friction.

Clics does not replace Google's advertising ecosystem, native app measurement, BigQuery-centered analysis, or Umami's self-hosted replay and heatmaps. These exceptions should decide the purchase when they are firm requirements.

AI referrals

AI referrals are human visits from AI services.

Clics gives supported providers a dedicated AI Analytics view with provider totals, landing pages, UTM detail, geography, devices, browsers, operating systems, and recorded custom events. Referrer-based attribution misses direct and privacy-stripped visits and does not identify an exact model version.

GA4 and Umami can receive referrer or campaign data. The official pages reviewed for this comparison do not establish a Clics-style provider workspace that combines these AI-specific breakdowns. Treat the gap as unverified rather than proof that no related analysis is possible.

AI crawlers

AI crawlers are automated server requests. They should stay outside human visitor and conversion counts.

Clics tracks verified crawler requests server-side after matching both the user agent and source IP to the operator's published identity data. It can report provider, requested page, and response status when the response-aware integration is used.

The GA4 and Umami documentation reviewed here does not establish the same verified crawler workflow. A crawler request never proves that a page was indexed, cited, or used for training.

Agent and API access

GA4 provides Data, Admin, Measurement Protocol, and User Deletion APIs. Its developer documentation also lists an MCP server. Umami provides an API for websites, events, sessions, and reports.

Clics provides API, TypeScript SDK, CLI, and MCP access around the same focused website model. Teams can move from a dashboard question to a script or agent without rebuilding the measurement vocabulary.

Final verdict

Choose Google Analytics when the Google Ads ecosystem, app analytics, remarketing, or BigQuery export is non-negotiable. Choose Umami when open-source deployment control, replay, or heatmaps matter enough to own the service or adopt Umami Cloud.

Choose Clics for complete managed website analytics. It keeps acquisition, campaigns, events, goals, revenue, funnels, and sessions understandable, then adds dedicated AI referral analysis and verified crawler reporting. That is the strongest fit for a small team that wants useful depth without GA4's operating surface or a self-hosted analytics stack.

Automate a Weekly Publisher Newsletter Review with Zapier and Clics

Maximin — Sun, 27 Sep 2026 09:00:00 +0000

Publishers often know which articles received traffic but still assemble newsletter-conversion reports by hand. A useful weekly review should answer four questions: which sources brought readers, which articles held attention, which visits reached the newsletter form, and which sessions completed the signup.

Clics provides the website data. Zapier schedules the review and sends a compact result to the place the editorial team already works. The documented integration uses Zapier's MCP Client, so this is a remote MCP connection rather than a native Clics Zapier app.

The example below tracks a custom newsletter_signup event and a funnel from article landing page to newsletter signup. It targets publishers and media teams, which makes it materially different from a generic installation guide or an ecommerce funnel digest.

What the workflow needs

Before opening Zapier, make sure Clics already receives the evidence the review will use:

The Clics tracker is installed and verified on the publication.
Newsletter form success sends a newsletter_signup custom event.
A goal exists for that event.
A funnel represents the intended path, such as article landing page, newsletter form view, and newsletter_signup.
UTM naming is consistent for email, social, syndication, and paid distribution.

Clics custom events can include properties, so a publisher can attach a form location or content section when that detail helps. Keep the event small and stable. Do not send personal form fields into analytics.

The integration can query existing data. It cannot reconstruct events that were never collected.

Connect Clics to Zapier

The Clics Zapier integration page links to the current setup documentation. In Zapier, add an MCP Client connection and use the Clics remote endpoint:

https://api.clics.dev/v1/mcp

Choose Streamable HTTP, enable OAuth, and leave the bearer token empty. Complete the WorkOS authorization flow and give the connection a recognizable name.

The Zapier MCP guide distinguishes two action types. Use Run Read-Only Tool for reports, alerts, and lookups. Use Run Tool only when a Zap must create or change a project, goal, or funnel. This newsletter review is read-only.

If Zapier's MCP Client cannot complete OAuth discovery, the documentation recommends using the Clics REST API instead.

Build the weekly review

Start the Zap with a Schedule trigger after the reporting week closes. A Monday morning run can compare the previous seven complete days with the seven days before them.

The documented weekly-digest example uses query_stats. Ask for the fixed date ranges, project ID, and the small set of metrics the editorial team needs. Useful sections include:

Visitors and pageviews for both periods.
Top landing articles and traffic sources.
Newsletter goal completions and conversion rate.
Funnel completion by step.
A short list of sessions that reached the form but did not complete newsletter_signup.
Changes that cross a defined threshold.

Keep the instruction narrow. The agent should report observed changes and label missing data. It should not invent a cause for a conversion drop.

The Clics MCP documentation supports analytics queries and goal or funnel operations, but the Zapier page does not promise a dedicated tool for every dashboard card. When a required metric is not returned by the available tools, leave it out or use a separately verified API query. Do not infer access from the dashboard alone.

Shape the response

Clics MCP can return text and structured content. Map structured fields directly when Zapier exposes them. If Zapier only exposes text, parse the JSON before referencing an individual metric.

Avoid sending the complete raw response to editors. Create a short report with fixed labels:

Traffic: visitors and pageviews, with the comparison period.
Acquisition: top sources and article landing pages.
Newsletter conversion: goal completions, rate, and funnel steps.
Sessions to inspect: a few identifiers or links, when available.
Questions: one or two specific investigations for the team.

A Slack or Teams message works for discussion. Email works for a scheduled digest. A Notion or spreadsheet row works when the publisher wants a weekly archive. The destination does not change the Clics data boundary.

Add a threshold without hiding context

A Filter step can stop routine messages when nothing material changed. For example, send an alert only when newsletter conversion falls below an agreed rate or drops by a chosen percentage from the comparison period.

Keep the raw counts beside the rate. A large percentage change from a small number of signups can mislead. Include both date ranges and the funnel definition so the team can reproduce the result.

The Zapier guide also documents write actions for creating goals from an intake form. That is a separate workflow. It should include an approval step and an explicit project ID. The weekly publisher review should remain read-only.

AI referrals

AI referrals are human visitors who clicked from an AI service.

Clics has a dedicated AI Analytics view for supported providers. It can show provider totals, landing pages, referrer and UTM details, geography, devices, browsers, operating systems, and recorded custom events. A publisher can use the dashboard to see whether AI-referred readers reach articles and trigger newsletter_signup.

Attribution depends on the HTTP referrer. Direct and privacy-stripped visits cannot be assigned reliably, and the provider label does not identify an exact model version.

The Zapier MCP documentation does not explicitly confirm a dedicated AI-referral query tool. Keep AI referral analysis in the dashboard unless the connected tool list or API documentation confirms the required fields. Do not claim that the Zap exposes data it has not returned.

AI crawlers

AI crawlers are automated requests from systems operated by AI companies. They are not readers and should not enter newsletter conversion rates.

Clics tracks crawler activity through a separate server-side package that verifies both the user agent and source IP. The crawler report can show provider, requested page, and response status when response-aware tracking is enabled.

The Zapier MCP documentation does not explicitly confirm a dedicated crawler query tool. Review crawler activity in Clics unless a currently available tool documents that data. A crawler request shows that a verified crawler reached a page. It does not prove indexing, citation, training use, or a later newsletter signup.

The decision this automation supports

The report should help an editor choose which distribution channel or article path deserves investigation. It should not choose the editorial strategy.

Connect Clics to Zapier, run the review on complete periods, keep the newsletter_signup goal and funnel stable, and route only the evidence the team can act on. The result is a weekly publisher report that takes less manual assembly while preserving the limits of the underlying data.

Automate a Weekly Ecommerce Funnel Review with n8n and Clics

Maximin — Sun, 27 Sep 2026 04:00:00 +0000

A weekly funnel review is useful only when it arrives with enough context to act on. A chart that says conversion dropped is not enough. You need to know where visitors left, which sessions deserve a closer look, and whether the change is large enough to investigate.

Clics and n8n can turn that review into a repeatable workflow. Clics provides the analytics data and session detail. n8n handles the schedule, analysis steps, and delivery.

What the workflow does

A practical weekly review can:

Run on a fixed day and time.
Pull the latest traffic and conversion statistics from Clics.
List the funnels configured for the project.
Compare the current period with the previous period.
Retrieve relevant sessions and session events when a step needs investigation.
Format a short report for Slack, email, or a Notion page.

Pull the latest traffic and conversion statistics from Clics.

List the funnels configured for the project.

Compare the current period with the previous period.

Retrieve relevant sessions and session events when a step needs investigation.

Format a short report for Slack, email, or a Notion page.

The goal is not to let an AI agent invent an explanation. It is to give your team a consistent starting point, backed by the data Clics returns.

Connect Clics to n8n

Clics exposes a remote MCP endpoint at:

https://api.clics.dev/v1/mcp

In n8n, add the MCP Client Tool to an AI Agent node, choose Streamable HTTP as the transport, and use OAuth for authentication. This keeps the connection tied to your Clics account without copying an API key into every workflow step.

Before building the automation, make sure the ecommerce events and funnel steps you want to review are already tracked in Clics. The workflow can query existing data, but it cannot reconstruct events that were never collected.

Build the weekly review

Start with a Schedule Trigger. A Monday morning run works well because it can summarize the previous calendar week before the team plans its next experiments.

Connect the trigger to an AI Agent with the Clics MCP Client Tool available. Give the agent a narrow brief: retrieve the relevant project statistics, list the ecommerce funnel, compare the last seven complete days with the preceding seven days, and flag material changes without guessing at causes.

The available Clics tools include query_stats, list_funnels, list_sessions, and list_session_events. Together, they support a useful sequence:

query_stats provides the top-level traffic and conversion view.
list_funnels returns the configured funnel structure and results.
list_sessions narrows the review to sessions that match the period or behavior you care about.
list_session_events supplies the event sequence for a closer look at individual journeys.

list_funnels returns the configured funnel structure and results.

list_sessions narrows the review to sessions that match the period or behavior you care about.

list_session_events supplies the event sequence for a closer look at individual journeys.

After the agent produces structured output, use a Set or Code node to shape the final report. Keep the report short: headline numbers, the largest step-level changes, two or three sessions worth reviewing, and clear follow-up questions.

Deliver the report

Send the result to the channel your team already checks. Slack is useful for discussion, email works for a scheduled digest, and Notion is better when you want a durable weekly log.

A simple output might include:

Visits, conversions, and conversion rate for both periods.
Funnel completion by step.
The largest week-over-week change.
Links or identifiers for sessions that need manual review.
One recommended investigation, phrased as a question rather than a conclusion.

Funnel completion by step.

The largest week-over-week change.

Links or identifiers for sessions that need manual review.

One recommended investigation, phrased as a question rather than a conclusion.

Important limits

Keep the automation inside the documented data boundary. Clics distinguishes human visits from AI services, reported as AI referrals, from bot or server requests, reported as AI crawlers. A crawler request does not prove that a page was indexed, cited, or used for training.

The documented n8n MCP workflow focuses on analytics, funnels, sessions, and session events. Do not assume that every dashboard feature has a dedicated MCP tool. If a metric is not returned by the available tools, leave it out or add a separate verified data source.

A better weekly habit

Automation should remove repetitive collection, not replace judgment. Let n8n assemble the same evidence every week. Let your team decide whether a funnel change is noise, a tracking issue, or a real opportunity. That division of work makes the review faster without pretending the workflow knows more than the data shows.

Best Web Analytics Tools for Agencies in 2026

Maximin — Sat, 26 Sep 2026 23:00:00 +0000

Agencies need analytics that can answer client questions quickly, stay understandable in a report, and keep accounts separated. The best tool is not always the one with the longest feature list. It is the one that matches how the agency onboards clients, investigates performance, and delivers evidence.

This list compares Clics, Matomo, Fathom, Plausible, and Google Analytics 4 for agency work.

1. Clics: best for acquisition-to-conversion analysis

Clics is the strongest option when an agency needs to connect sources, landing pages, UTM parameters, events, goals, revenue, funnels, and individual sessions. Its two-to-seven-step funnels help teams identify where visitors drop out, while session investigation provides the detail behind a summary metric.

Agencies can use separate workspaces per client when they need stronger isolation or separate invoices. The current product does not offer white-label dashboards, per-project guest access, or public share links, so delivery usually happens through an agency's own reporting process.

Clics also separates AI referrals from AI crawler activity. AI referrals are human visits from services such as ChatGPT or Perplexity. Crawlers are automated server requests. A crawler request does not prove that the page was indexed, cited, or used for training.

2. Matomo: best for ownership and self-hosting

Matomo is a strong fit for clients that require self-hosting, broad analytics control, or an established alternative to Google Analytics. It covers a wide range of reporting needs and can suit organizations with strict infrastructure requirements.

The tradeoff is operational weight. A self-hosted installation needs maintenance, updates, backups, and security ownership. Agencies should include that work in the proposal rather than treating the software license as the full cost.

3. Fathom: best for simple client dashboards

Fathom provides a compact, privacy-friendly view of website performance. Its straightforward dashboard works well when a client needs a readable summary rather than a complex analytics workspace. Events, campaigns, and shared dashboards support common agency reporting needs.

Fathom is less suitable when the agency must investigate detailed journeys or build richer conversion funnels. Its value comes from reducing reporting friction.

4. Plausible: best for lightweight privacy-first reporting

Plausible is another strong choice for clear website reporting. It emphasizes traffic, sources, pages, locations, devices, and goals in a concise interface. Agencies can explain it quickly to clients who do not want to learn a large analytics product.

As with Fathom, the decision depends on the depth of investigation required. A compact dashboard is an advantage until a campaign review needs more session or funnel detail.

5. Google Analytics 4: best for ecosystem compatibility

GA4 remains common because clients, media teams, and advertising workflows already know it. It offers extensive event modeling, audiences, attribution reports, and integrations across Google's ecosystem.

Its flexibility can also slow delivery. Configuration, consent choices, interface complexity, and data interpretation require expertise. Agencies should document their implementation so a client is not left with a dashboard no one trusts.

What agencies should compare

First, compare client isolation. Decide whether every client needs a separate account, workspace, or deployment. Second, compare the reporting workflow. A tool that produces the right weekly answers can be more valuable than one that exports more metrics. Third, compare ownership and maintenance. Self-hosting may satisfy a requirement but adds operational responsibility.

Also test how each product handles campaigns, goals, revenue, and investigation. A monthly chart is not enough when a client asks why conversions fell.

Final verdict

Choose Clics for conversion-focused reporting, funnels, sessions, AI referrals, and crawler visibility. Choose Matomo when self-hosting and ownership are central. Choose Fathom or Plausible for simple privacy-first dashboards. Choose GA4 when Google ecosystem compatibility outweighs interface and implementation complexity.

For most agencies, the best choice is the smallest system that can answer client questions with evidence and fit the way accounts are separated.

Best Matomo Alternatives for Website Analytics in 2026

Maximin — Sat, 26 Sep 2026 19:00:00 +0000

Matomo is a capable analytics platform, especially for teams that value ownership and self-hosting. It is not the best fit for every website. Some teams want a simpler managed service, a faster dashboard, lower maintenance, or a workflow built around conversions rather than broad feature coverage.

The right alternative depends on what you need to learn each week. This list compares five practical options: Clics, Plausible, Fathom, Umami, and PostHog.

1. Clics: best for conversion-focused website analytics

Clics is the strongest Matomo alternative when the main job is connecting acquisition to outcomes. It combines traffic sources, landing pages, UTM parameters, events, goals, revenue, multi-step funnels, and session-level investigation in one managed product.

Clics also separates two kinds of AI visibility. AI referrals are human visits arriving from services such as ChatGPT, Claude, Perplexity, Gemini, or Copilot. AI crawlers are automated requests from bots used by AI companies. A crawler request does not prove indexing, citation, or training.

The tradeoff is scope. Clics is hosted rather than self-hosted, and it does not try to replace heatmaps, session replay, experiments, or feature flags. Teams that need those capabilities will need another product.

2. Plausible: best for a simple privacy-first dashboard

Plausible focuses on a concise overview of traffic, sources, pages, locations, devices, and goals. Its interface is easier to scan than a broad analytics suite, and the product appeals to teams that want privacy-conscious measurement without managing a large configuration surface.

Plausible is a good fit when a clean website dashboard is the priority. Teams should still compare event, funnel, retention, and pricing requirements against their own traffic and workflow.

3. Fathom: best for low-friction reporting

Fathom emphasizes a fast, readable dashboard and privacy-friendly analytics. It supports sites, events, campaigns, and sharing, which makes it attractive to consultants and small teams that want reports clients can understand quickly.

Its strength is simplicity. The tradeoff is that teams needing detailed session investigation or richer funnel analysis may outgrow the core workflow.

4. Umami: best for open-source control with a lighter footprint

Umami is a good option for teams that want open-source analytics without adopting a larger Matomo installation. It can be self-hosted, gives teams control over the deployment, and covers common website reporting needs.

That control brings operational work. Someone must own hosting, upgrades, backups, security, and reliability. A managed service can be cheaper once maintenance time is included.

5. PostHog: best for product analytics and experimentation

PostHog is the broadest option in this list. It combines product analytics with tools such as session replay, feature flags, and experiments. Product teams that need to understand behavior inside an application may prefer this wider platform.

The tradeoff is complexity. A marketing team that mainly wants clear website acquisition and conversion reporting may find the product larger than necessary.

How to choose

Choose Clics when goals, revenue, funnels, sessions, AI referrals, and crawler activity matter most. Choose Plausible or Fathom for a compact managed dashboard. Choose Umami when self-hosting is a firm requirement. Choose PostHog when product analytics, replay, flags, and experimentation belong in the same stack.

Do not choose from a feature checklist alone. Write down the three decisions your team makes most often, test each product against those questions, and include maintenance work in the comparison.

Final verdict

Clics is the best Matomo alternative for teams that want a managed, conversion-focused workflow and a clearer separation between human AI referral traffic and automated crawler requests. Plausible and Fathom are excellent for simplicity, Umami for open-source control, and PostHog for deeper product analytics.

Matomo remains a strong choice when self-hosting and broad analytics control are central requirements. The best alternative is the one that removes work without hiding the evidence your team needs.

Cloudflare Web Analytics vs Vercel Web Analytics: Which Fits Your Stack?

Maximin — Sat, 26 Sep 2026 14:00:00 +0000

Cloudflare Web Analytics and Vercel Web Analytics are both lightweight alternatives to a traditional analytics suite, but they are designed around different infrastructure choices. Cloudflare focuses on privacy-first traffic and performance reporting that can sit in front of almost any site. Vercel focuses on product analytics that feels native inside a Vercel deployment. This comparison looks at the work each product supports today. It also explains where Clics fits when a team needs goals, revenue, funnels, session investigation, and a clearer view of AI traffic.

Quick verdict

Choose Cloudflare Web Analytics if you want free, privacy-first real user monitoring and performance visibility across sites that may not run on one hosting platform. It is strongest when page views, visits, referrers, locations, devices, and Core Web Vitals are enough.

Choose Vercel Web Analytics if your application already runs on Vercel and you want analytics inside the same deployment workflow. It supports page views, visitors, routes, referrers, devices, locations, custom events, an analytics API, and data drains.

Choose Clics if the recurring question is how acquisition turns into an outcome. Clics combines traffic sources, landing pages, UTM data, events, goals, revenue, two-to-seven-step funnels, and session-level investigation. It also keeps AI referrals separate from AI crawler requests.

Setup and platform fit

Cloudflare Web Analytics can be enabled for a Cloudflare zone or installed with a JavaScript beacon. That makes it useful for teams with mixed hosting. The product is client-side analytics, so it measures browser activity rather than every request that reaches an origin.

Vercel Web Analytics is closely integrated with Vercel projects and frameworks. The setup is convenient when deployments, domains, and analytics already live in the same account. This tight fit becomes less useful when a team manages many sites outside Vercel or needs one neutral analytics layer across several hosts.

Clics also uses a lightweight tracker, but its product model is centered on marketing and product decisions. The dashboard is designed around acquisition, conversions, funnels, and individual sessions rather than infrastructure performance alone.

Reporting depth

Cloudflare gives a concise view of visits, page views, top pages, referrers, browsers, operating systems, countries, and performance. Its documentation currently describes a six-month retention window. It does not position the product as a custom-event or campaign-analysis suite, so teams that depend on UTM breakdowns and conversion events may need another layer.

Vercel provides a richer application-oriented model. Custom events can describe actions that matter inside a product. The API and drains make it easier to connect analytics data to a broader workflow. Exact limits depend on the current plan, so buyers should verify the plan documentation rather than rely on an old feature table.

Clics goes further on the conversion path. Teams can define goals, attach revenue, build multi-step funnels, and inspect the sessions around a success or drop-off. It does not replace Cloudflare's performance monitoring or Vercel's deployment tooling. It answers a different set of questions.

Privacy and control

Cloudflare presents Web Analytics as privacy-first and does not use cookies for its standard measurement. Vercel also offers a lightweight analytics layer designed for modern web applications. In both cases, a team still needs to review its own consent requirements, data processing terms, and implementation choices.

Clics provides cookieless website analytics in a managed service. It is not a self-hosted system. The practical tradeoff is less infrastructure work in exchange for using a hosted product.

AI referrals are not AI crawlers

AI referrals are human visits that arrive from services such as ChatGPT, Claude, Perplexity, Gemini, or Copilot. Clics reports those visits with pages, referrers, UTM data, location, device, browser, operating system, and events. Referrer data has limits, so it cannot reveal every untagged visit or reliably identify the exact model version.

AI crawlers are automated requests from bots used by AI companies. Clics records them through a separate server-side package that checks user agents and IP information. Request-only tracking shows that a crawler requested a page. Response-aware tracking can also record the HTTP status. Neither proves that a page was indexed, cited, or used for training.

Final verdict

Cloudflare Web Analytics wins for broad, free, privacy-first traffic and performance reporting. Vercel Web Analytics wins for teams already committed to Vercel that want application analytics, custom events, and data access close to deployment. Clics is the stronger fit when the weekly workflow centers on acquisition, conversions, revenue, funnels, sessions, AI referrals, and crawler activity.

Pick the smallest tool that answers the decisions your team actually makes. If infrastructure performance is the priority, start with Cloudflare. If Vercel is the operational center of the product, start with Vercel Web Analytics. If the job is explaining why visitors converted or dropped out, test Clics against that workflow.

Fathom Analytics vs Umami: Which Fits Your Website?

Maximin — Sat, 26 Sep 2026 11:13:44 +0000

Fathom Analytics and Umami both make a credible case for privacy-conscious website measurement. The decision for a small website team is whether to buy a managed dashboard with little maintenance or run a broader analytics platform that can also be self-hosted. A third option, Clics, matters when the team wants the complete traffic-to-conversion picture and a separate record of verified AI crawler requests.

The comparison below uses the same requirements for all three: setup, acquisition reporting, events and revenue, goals and funnels, session detail, privacy, AI traffic, access outside the dashboard, and the work of keeping the system running. The choice depends on which requirement is firm.

Setup and operating cost

Fathom is a hosted product. Add its script, then read traffic and events in one dashboard. It provides email reports, shared dashboards, GA4 import, and a documented API. Fathom wins when the team wants a narrow reporting surface and does not want to administer an analytics server. Its paid plans are based on traffic volume; check the current pricing page for your volume before choosing it.

Umami gives you a managed Cloud option and an open-source self-hosted option. Cloud removes infrastructure work; self-hosting gives the team control of the deployment and database but adds upgrades, backups, and monitoring. Umami wins when deployment control is a requirement. Price comparisons must include that operating work as well as subscription fees.

Clics is managed and starts with a lightweight browser tracker. It keeps visitor, campaign, conversion, and session reporting in one product. Its pageviews and custom events are billed by monthly volume. Clics wins the setup decision for a team that wants deeper website reporting without managing a server.

Website analytics and conversions

Fathom reports visitors, pages, sources, campaigns, and real-time activity. Events can represent signups or purchases and carry monetary values. Saved views and scheduled emails suit a marketing team that revisits the same questions. Its focus is an advantage if those reports cover the job; the current feature documentation does not describe a built-in multistep funnel builder or a session replay workflow.

Umami v3 goes further than a minimalist dashboard. Its current documentation covers custom events, goals, ordered funnels, journeys, revenue, segments, retention, heatmaps, and opt-in session replays. Those tools fit teams investigating behavior and conversion paths. They also bring more configuration and privacy decisions, particularly if replay is enabled. Umami wins when replay or self-hosted behavioral analysis is mandatory.

Clics covers pages, referrers, UTMs, events, page and event goals, revenue, multistep funnels, and individual session timelines. A team can inspect which campaign brought people to a pricing page, where a signup funnel loses them, and what happened in a visit. The custom event API handles actions that pageviews cannot represent. Clics wins for a complete website analytics workflow when replay and heatmaps are not requirements.

Privacy and data control

All three describe cookieless measurement. Fathom is hosted and documents privacy handling and EU data isolation. Umami can be self-hosted, which changes who operates and stores the data. Clics is managed and documents cookie-free measurement. A cookie-free analytics script does not settle every legal question for the rest of a site; review the full stack and the vendor terms.

AI referrals

AI referrals are human visits whose browser sends a recognizable AI-tool referrer. Fathom's current site says teams can explore AI referrals and filter the dashboard to see what those visitors do. Give it credit for that; this is no longer a Clics-only distinction.

Clics has a dedicated AI Analytics view with provider tabs, landing pages, referrers and UTMs, and custom events from AI-referred sessions. Some Overview filters, including Goal, are unavailable inside it. Umami's current feature documentation supports referrers and conversion analysis, but I could not verify a dedicated AI-assistant report in the pages reviewed. For any of these tools, a direct visit or stripped referrer can escape AI attribution. None of this identifies an exact model version.

AI crawlers

AI crawlers are automated requests, not the people described above. Fathom says it filters bots from visitor reports. Umami's reviewed docs do not establish a comparable verified AI crawler report. Those statements do not prove either product lacks another way to inspect server logs.

Clics documents a separate server-side package. It records a supported crawler only when both the user agent and source IP match the operator's published identity. The dashboard can show provider and requested pages; response status is available when the integration sees the response, while request-only tracking cannot provide it. You need a production project, a project-scoped crawler token, and server integration in addition to the browser tracker. A crawler request proves neither indexing nor later use of the page. AI crawler tracking is free for all Clics users; crawler requests do not count as consumed events.

Access beyond the dashboard

Fathom documents an API and CSV exports. Umami documents an API and recently added a read-only Cloud MCP server. Clics documents a REST API, TypeScript SDK, CLI, and MCP for website analytics and workspace tasks. Agent access is therefore not exclusive to Clics. The practical difference is whether the team's preferred interface and the needed tool are supported. Clics also documents a dedicated AI crawler analytics endpoint alongside its general stats API.

Final verdict

Choose Fathom when a hosted, compact dashboard, scheduled reports, and event value tracking cover the whole job. Choose Umami when self-hosting, replay, heatmaps, or deeper behavior reports are requirements. For a team seeking complete managed website analytics without those dependencies, choose Clics: its documented goals, revenue, funnels, and session timelines cover the core work, while dedicated AI referral analysis and verified crawler reporting extend the same product. Plan the separate server-side crawler setup before treating that last capability as available.

Matomo vs Fathom Analytics: Which Analytics Tool Should You Choose?

Maximin — Sat, 26 Sep 2026 08:00:00 +0000

Matomo and Fathom Analytics solve different problems. Matomo is a broad analytics suite with self-hosting, advanced behavior tools, and extensive configuration. Fathom is a focused hosted product built around a small set of website metrics and a simple dashboard. The better choice depends on how much control, depth, and maintenance your team wants.

This comparison uses the current product documentation from Matomo and Fathom. It also explains where Clics fits when a team wants conversion analytics, funnels, sessions, and AI traffic reporting without running its own analytics stack.

Quick verdict

Choose Matomo if you need self-hosting, heatmaps, session recordings, tag management, A/B testing, advanced ecommerce reporting, or detailed segmentation. It offers the broadest feature set, but that range brings more setup and ongoing decisions.

Choose Fathom if you want a clean hosted dashboard for page views, visitors, traffic sources, devices, locations, and custom events. It is easier to learn and keeps the reporting surface intentionally small.

Choose Clics if your priority is the path from acquisition to conversion. Clics combines traffic sources, landing pages, UTM reporting, events, goals, revenue, two-to-seven-step funnels, and session-level investigation. It also separates AI referrals from AI crawlers and gives agents access through its API, SDK, CLI, and MCP server.

Setup and maintenance

Matomo gives teams the most control. You can use Matomo Cloud or install the software on your own infrastructure. Self-hosting can be valuable when data location and technical control are non-negotiable, but it also means managing updates, storage, performance, backups, and security. Even with the hosted option, Matomo has more settings to understand because it covers more use cases.

Fathom is hosted. Add its tracking script, verify traffic, and use the main dashboard. Its one-page reporting model is a strength for small teams that do not want to train every stakeholder on a complex analytics interface.

Clics is also hosted and uses a lightweight tracker for website activity. The practical difference is scope: it stays easier to operate than a self-hosted analytics suite while covering goals, revenue, funnels, and sessions that a growth team may need every week.

Privacy and data control

Matomo is the strongest choice when ownership and hosting control are central requirements. A self-hosted deployment keeps the analytics system under your technical control. Privacy still depends on configuration, consent requirements, and the data you choose to collect, so self-hosting is not an automatic compliance shortcut.

Fathom is designed as a privacy-focused hosted service. It avoids the sprawling configuration found in traditional analytics products. Teams should still review its data processing terms and confirm that its approach matches their jurisdiction and internal policy.

Clics provides cookieless website analytics and keeps its product focused on operational reporting. It is not self-hosted. That makes it a better fit for teams that value a managed product over infrastructure ownership.

Website analytics and reporting

Matomo offers the deepest analysis. Beyond standard acquisition and page reporting, its product range includes heatmaps, session recording, tag management, experiments, ecommerce analysis, and rich segmentation. That breadth is useful for mature analytics programs. It can be excessive for a team that only needs a trustworthy weekly view of traffic and conversions.

Fathom reports views, people, time on site, bounce rate, referrers, pages, countries, devices, browsers, and events. Its events can include an optional monetary value. The dashboard makes it easy to answer common questions without assembling reports.

Clics focuses on the questions between those two extremes: where visitors came from, which landing pages worked, what events and goals happened, which funnels lost people, and what occurred in individual sessions. It does not replace Matomo's heatmaps, experiments, or tag manager.

Events, goals, revenue, and funnels

Fathom events work well for concise conversion tracking. You define the event, send it from the site, and review completions and value in the dashboard.

Matomo supports a wider measurement model, including goals and advanced ecommerce analysis. It is the best match when analytics specialists need many reporting dimensions and behavior tools in one suite.

Clics is designed for product and marketing teams that need goals, revenue, and multi-step funnels without building a complex reporting workspace. Its session view helps investigate what happened around a conversion or drop-off. That combination is more important than a long feature list when the recurring task is finding the next page or step to improve.

AI referrals are not AI crawlers

AI referrals are human visits that arrive from services such as ChatGPT, Claude, Perplexity, Gemini, or Copilot. Clics gives those visits a dedicated view with pages, referrers, UTM data, location, device, browser, operating system, and events. Referrer data has limits, so it cannot reliably identify the exact model version or every untagged visit.

AI crawlers are automated requests from bots used by AI companies. They are not visitors who clicked a recommendation. Clics records crawler activity through a separate server-side package that checks user agents and IP information. Request-only tracking shows that a crawler requested a page. Response-aware tracking can also record the HTTP status. Neither proves that the page was indexed, cited, or used for training.

Matomo and Fathom remain valid choices for conventional website reporting, but teams evaluating AI visibility should ask whether these two traffic types are modeled separately rather than grouped under a vague AI label.

Pricing and buying decision

Fathom starts at a monthly plan based on page views and supports multiple sites, an API, and a short trial. Matomo's cost depends on Cloud versus self-hosted use, traffic, and the advanced features selected. Self-hosting removes a hosted subscription for the core software but does not remove infrastructure and staff costs.

Clics offers a 30-day trial without a card. The important comparison is not the entry price alone. Count the time spent maintaining infrastructure, teaching stakeholders, assembling funnel reports, and investigating sessions.

Final verdict

Matomo wins for maximum control and the broadest analytics toolkit. Fathom wins for a minimal, polished dashboard that covers essential website metrics and events. Clics is the better fit when a team wants managed website analytics centered on acquisition, conversions, funnels, sessions, AI referrals, and verified crawler activity.

Pick the smallest tool that answers the decisions your team actually makes. If self-hosting and advanced behavior analysis are required, choose Matomo. If simplicity is the main constraint, choose Fathom. If the weekly job is connecting traffic to conversions and investigating what happened, test Clics against that workflow.

Plausible vs Umami: Which Analytics Tool Should You Choose?

Maximin — Sat, 26 Sep 2026 03:00:00 +0000

Plausible and Umami are both privacy-friendly alternatives to Google Analytics.

Plausible is easier to use as a managed service and keeps its main reports in one clear dashboard.

Umami gives you more control over hosting and now includes a broader set of behavior reports in version 3.

Both are strong products.

But there is something important to know before choosing either one.

If you want complete website analytics without running your own infrastructure, Clics covers the core features these tools are chosen for, keeps the experience simple, and adds dedicated AI referral analytics, verified AI crawler tracking, and direct access for AI agents.

Let's compare them.

Setup

Plausible Cloud uses a hosted account and a tracking script.

You add the website, install the script, and verify that visits appear.

Plausible Community Edition is different. You host and maintain it yourself.

Umami also gives you two options.

You can use Umami Cloud or self-host the open-source application. The self-hosted installation requires Node.js and PostgreSQL, plus the usual work around updates, backups, security, and uptime.

Both products can be quick to start when you choose their managed services.

Self-hosting gives you more control, but your team becomes responsible for the service and its database.

Clics uses a lightweight tracker and a managed dashboard. You create a project, install the script, and start seeing website data without deploying an analytics application or maintaining a database.

For the simplest setup without self-hosting, Clics wins.

Privacy

Plausible describes itself as privacy-friendly analytics without cookies or personal data collection.

Umami also works without cookies, cross-site tracking, or automatic collection of personal data.

Clics is cookieless and privacy-first by design. It measures website activity without analytics cookies and does not require you to trade a simple setup for useful conversion reporting.

All three products are built for teams that want an alternative to advertising-led analytics.

The practical difference is what each product lets you do after that privacy decision.

Website analytics

Plausible gives you visitors, pageviews, sources, campaigns, landing pages, countries, devices, goals, events, funnels, and user journeys. Its dashboard is designed to keep the main website metrics easy to read.

Umami v3 covers traffic, campaigns, events, goals, funnels, journeys, retention, revenue, attribution, session replays, and heatmaps. It goes further into behavior analysis, but that wider surface also gives the team more reports to configure and interpret.

Clics covers the complete website analytics workflow: visitors, pageviews, bounce rate, session duration, realtime activity, pages, referrers, UTM campaigns, countries, devices, browsers, operating systems, custom events, goals, revenue, funnels, individual sessions, and automatic scroll tracking.

The difference is that Clics keeps those features inside a calm dashboard instead of turning basic website reporting into a large analytics project.

For a team that wants all the website analytics it needs without the extra complexity, Clics wins.

Goals, events, and funnels

Plausible supports goals and custom events. Plausible Cloud also includes funnel analysis, while Community Edition does not include marketing funnels, user journeys, or ecommerce revenue goals.

Umami v3 supports custom events, goals, funnels, journeys, revenue, and attribution.

Clics supports page goals and custom-event goals, including revenue tracking. Its funnels show how visitors move through two to seven ordered steps, where they drop off, and how long they take between steps.

You can also open an individual session and inspect the full activity timeline, including pageviews and custom events with their properties.

So Clics gives you the same core conversion workflow teams expect from modern web analytics: collect the action, define the goal, build the funnel, and inspect the visit behind the result.

It does this without requiring a separate product analytics implementation.

For straightforward conversion analysis, Clics is the strongest all-round choice.

Hosting and maintenance

Plausible Cloud and Umami Cloud handle the infrastructure for you.

Their self-hosted options give you more control, but someone must own deployments, upgrades, database backups, capacity, security, and recovery.

Plausible's own documentation describes self-hosting as an ongoing commitment. Umami's installation also depends on an application server and PostgreSQL.

Clics is managed for you.

You keep the benefits people usually want from self-hosted analytics, including a privacy-first and cookieless measurement model, without becoming the operator of another production service.

Choose self-hosting only when infrastructure control is a real requirement and your team has an owner for it.

For privacy-first analytics without maintenance work, Clics wins.

AI referrals

AI referrals are human visitors who click a link from an AI tool.

Plausible documents an AI Assistants channel and can show sources such as ChatGPT inside its acquisition reports.

Umami documents referrers, campaigns, and attribution, but the current pages reviewed do not establish a dedicated AI-provider analytics view.

Clics has a dedicated AI Analytics view.

It separates identifiable traffic from ChatGPT, Claude, Perplexity, Gemini, and Copilot. You can see which provider sent the visit, which pages received that traffic, the related UTM information, countries, devices, browsers, operating systems, and recorded custom events.

That makes AI traffic a visible acquisition channel with its own analysis instead of another row inside a general source report.

Attribution still depends on the referrer. Direct visits and privacy-stripped referrers cannot be reliably assigned, and a provider label does not identify an exact model version.

For AI referral analytics, Clics wins clearly.

AI crawlers

AI crawlers are automated systems requesting pages from your server.

They are different from people arriving through an AI referral.

Plausible documents bot filtering to keep non-human traffic out of normal website reports. That does not give you a complete view of which AI crawler requested which page.

The Umami documentation reviewed for this comparison does not establish a dedicated verified AI-crawler workflow.

Clics provides separate server-side AI crawler tracking.

A request is recorded only when both the user agent and source IP match the crawler operator's confirmed identity and published IP ranges.

You can see the verified provider, requested page, and HTTP response status when response-aware tracking is enabled.

The result tells you which verified crawlers reached your content and what the server returned. It does not claim that a request proves the page was indexed, cited, or used for training.

For verified AI crawler visibility, Clics wins.

AI agent access

Plausible and Umami provide APIs for teams that want to build their own reporting workflows.

Clics goes further by making analytics available through its API, TypeScript SDK, CLI, and MCP server.

That means ChatGPT, Claude, Cursor, Codex, and other compatible agents can work directly with website statistics, pages, sessions, events, goals, and funnels.

The analytics are still available in the dashboard, but they are not trapped there.

For teams already using AI agents in marketing, development, or reporting, Clics provides the most direct workflow.

Pricing and operating cost

Plausible Cloud is a paid managed service. Community Edition has no Plausible subscription fee, but your team pays for and maintains the infrastructure.

Umami offers a managed cloud service and a self-hosted option. The self-hosted route also carries infrastructure and maintenance costs.

Clics is a managed product with a 30-day trial and no credit card required. Paid plans add the usage and access needed for advanced workflows, while AI Analytics is a Business feature.

The cheapest server bill is not always the lowest operating cost. Include the time required for upgrades, backups, security, and recovery when comparing self-hosted options.

For a team that wants a complete managed analytics product without maintaining infrastructure, Clics gives the clearest value.

Final verdict

Choose Plausible if you want its focused dashboard and its specific Cloud reporting workflow.

Choose Umami if self-hosting and its broader behavior reports are central to your decision.

Choose Clics if you want the best complete website analytics package.

Clics gives you the traffic, campaign, event, goal, revenue, funnel, session, realtime, and scroll reports you expect from modern web analytics. It stays cookieless and easy to set up. Then it adds the features the other two do not combine in the same simple product: dedicated AI referral analytics, verified AI crawler tracking, and native access through MCP, CLI, SDK, and API.

Plausible and Umami each make sense for a specific requirement.

For most teams that want powerful website analytics without complexity or self-hosting, Clics is the obvious choice.