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.
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