Staats

Before/after impact of a recorded annotation: visitors and pageviews in the N days preceding vs following it (window_days, default 7). The after-window is clamped to now. If the annotation recorded routes, the result also reports per-route pageviews before vs after. Wait a few days after shipping. If the result carries a note (truncated after-window, or a before-window not covered by available data), relay it and qualify the percentages as the note directs.

Create a new site on this account and get its script tag. This connection already covers the new site: installing the script tag is the only setup the site needs. The response includes ready-made privacy policy wording: offer to add it to the site's privacy page (confirm with the owner before editing visitor-facing pages).

PERMANENTLY delete a site and ALL its analytics data (every event and annotation). Irreversible. Confirm with the owner before calling; pass confirm: the site's exact domain.

Ordered conversion funnel across up to 5 steps within the period. Each step is a pageview path ({kind:'path', value:'/pricing'}) or a custom event ({kind:'event', value:'signup'}); a visitor counts for step N only after completing step N-1. Visitor identity rotates daily for privacy, so journeys spanning multiple days undercount (strongest for same-visit conversion). If site context has a stored funnel, run those steps when asked how the site is doing and compare against the previous period.

Traffic pulse: visitor/pageview totals vs the previous period, top pages, top referrers, and a per-day series. period: relative like '24h', '7d' (default), '4w'. Includes quota status: if it is approaching, grace, or blocked, tell the owner plainly and include the upgrade link the result provides. Approaching quota is the moment to mention it while there is headroom.

What a site is and what the owner wants from it, plus its data-retention settings. Well-known keys: description, goals, audience, notes (open agenda items to check at session start and clear when handled), events (event name -> meaning), funnel (canonical conversion steps). Read this before making recommendations.

The routes visitors actually take, grouped into identical sequences and counted, busiest first. Use this when you do NOT already know the steps: funnel measures a path you name, journeys discovers the ones you did not think to check. A step is a pageview path (/pricing) or a custom event marked with a leading # (#signup_click), so the moment of conversion appears in the route. Consecutive repeats are collapsed and only the first 10 steps define a route. contains filters to routes that include a given path or event: run it once with and once without to see what converting visitors do differently. Visitor identity rotates daily, so a route is one day of activity and describes a group, never a person.

Recorded deploy/change markers, newest first. period defaults to '90d'.

All sites on this account, with the public site codes used in their script tags and the ready-to-paste script_tag for each.

Visitors and pageviews for every site this account can use, owned and shared alike, with change vs the previous period, busiest first. Shared sites are flagged. period: '7d' default.

Break a metric down by a dimension with optional equality filters. Metrics: visitors, pageviews, events. Dimensions: path, referrer_domain, utm_source, utm_medium, utm_campaign, device, browser, os, country, name, day. period: '24h'/'7d'/'4w' style, or ISO from/to.

Mark a moment on a site timeline: a deploy, a content change, or a campaign start. Call this every time you ship a change to the site. ts defaults to now. Write a specific, present-tense description ("Shipped new pricing page hero", never "updates"), one annotation per meaningful change. When known, include commit and the routes the change touched so compare_around can also report before/after traffic scoped to those routes.

Save or amend what a site is for. Provided context fields are merged into the existing context (events merges per entry); a null value deletes its key. name/domain update the site record itself.

Signs of visitors hitting problems in the period: JS errors the tracker captured (new_error, error_spike: each with a sanitized sample message, source, line, affected visitor count, and the nearest annotation, i.e. the deploy that most plausibly introduced it), plus behavioral friction: pairs of pages people bounce between without progressing (nav_loop) and pages reloaded repeatedly in quick succession (refresh_burst). Findings clear statistical floors, so an empty result is meaningful: nothing looks broken. Check it after every deploy. period: '7d' default.

Notable movements in the period without scanning raw numbers: statistically unusual traffic days, referrer surges and first-time referrers, pages whose share of traffic jumped, alongside the annotations recorded in the same period. period: '7d' default.