Event-based web and app analytics that measures traffic, funnels and retention
Google Analytics is the default measurement platform for a large share of the web. The current version is event-based: every interaction is logged as an event with parameters, then grouped into reports on acquisition, engagement, monetisation and retention. It connects natively to Google Ads and Search Console, and audiences defined here can be pushed into advertising products. Machine learning appears in specific places - predictive metrics such as purchase and churn probability, anomaly detection and automated insights - while the bulk of reporting remains straightforward counting and attribution. It is free up to a monthly event volume.
Last updated: 2026-09-20. This site only provides an index; for exact features, pricing, and licensing, see the official website.
website measurement, funnel analysis, ad attribution, audience building and reporting
If you're comparing similar products, check the alternatives below, or browse all tools in the AI Marketing & E-commerce category.
Predictive metrics, anomaly detection and automated insights use statistical or machine-learning models. Everything else - sessions, conversions, channels, retention tables - is conventional counting of the events you collect.
Each system attributes differently: different lookback windows, how conversions are credited and what counts as a session. Some gap is normal, so pick one platform as the source of truth for a given question.
For basic page tracking, no. Meaningful measurement of sign-ups, purchases or content engagement usually needs someone to define and implement events, which is where most of the real setup work sits.
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