Best Analytics (2026)

Web analytics tracks traffic sources, page views and on-site behaviour — it answers questions about acquisition and content performance. Product analytics tracks what authenticated users do inside your product — feature adoption, retention, funnel conversion and expansion revenue. You often need both, but they answer different questions and the best tool for each is rarely the same platform.

Yes, if you want data you can trust. A tracking plan defines which events you will track, what properties each event carries and what business question each event answers. Without one, you accumulate inconsistently named events that are difficult to query and impossible to maintain as the product evolves. Even a simple spreadsheet tracking plan pays back immediately.

Cookieless analytics sacrifices some individual-user precision in exchange for not requiring cookie consent. It typically captures 90 to 95 percent of actual traffic that consent-gated tools miss, because a proportion of users decline cookies. For aggregate traffic reporting, cookieless tools are often more representative. For user-level journeys and retention analysis, they have real limitations.

Run a QA process on every event before it goes to production: trigger the event yourself, verify it appears in the tool with the correct properties, check that the event fires once per action and not multiple times, and confirm it appears in the correct funnels and dashboards. Set up data quality monitors that alert you when event volume drops unexpectedly — a broken tracking call can go undetected for weeks.

A typical SaaS product with a few hundred active users generates between 500,000 and 5 million events per month depending on product complexity and what is tracked. Most free analytics tiers comfortably cover early-stage products. Event volume grows faster than user count as you add more granular tracking, so model your growth before hitting paid tier thresholds.

Most modern analytics platforms offer a data export or warehouse sync feature that writes raw event data to your chosen destination. This lets your data team query events directly in SQL alongside other business data. Check whether the export is real-time, hourly or daily, whether historical backfill is supported and what the additional cost is — warehouse exports are often priced separately from the core analytics subscription.