Top reviewed website analytics
Frequently asked questions about Website analytics
Real answers from real users, pulled straight from launch discussions, forums, and reviews.
PostHog illustrates the core flow: events are captured (via API/SDK) and then stitched into users or companies for analysis. Common patterns you’ll see:
- Event capture: SDKs/APIs or embeddable widgets log pageviews, clicks and custom events.
- Identity & grouping: platforms can auto-group visits into accounts (June generates companies from domains) so you can analyze at user or company level.
- Funnels & lists: events are sequenced into funnels and used to build lists (e.g., engagement tiers) and compute usage changes to trigger CRM or support actions.
Check whether a tool auto-groups entities or requires you to send properties for accurate funnels.
Pulsetic users note it feels lightweight and minimal, which helps keep the monitoring footprint small and unobtrusive. Lightweight, privacy-first analytics can help site speed by:
- Reducing script size and third‑party requests
- Keeping UI and setup simple so there’s less client work
- Limiting tracking that can block or slow page rendering
Tools like Notionlytics that use an embedded widget also simplify installation and surface only the data you need. If site speed is a priority, prefer compact, privacy-minded scripts and measure real-world load times before and after switching.
Analytics tools commonly follow this pattern:
- Free plans to get started (often generous for early-stage apps).
- Paid tiers that bundle features and include a modest MAU allowance, then charge per additional MAU.
For example, Hotjar highlights a free plan and initial discounts, and Pulsetic targets startups with simpler, founder‑friendly pricing. Always check each product’s pricing page for exact MAU thresholds and overage rules.