Groundhogg stores contacts in gh_contacts, tag relationships in pivots, funnels in gh_funnels, and every send, open, click, and step-completion in gh_events. The schema is well-indexed because Groundhogg's automation engine queries it at runtime, which makes it equally good for aggregation.

Default Groundhogg reporting covers per-funnel completion and per-broadcast performance, but the cross-funnel and cross-tag dashboards live across separate screens. "How many contacts entered the Welcome funnel this week?" "Which tags account for the most active contacts?" "Where are contacts dropping out of the Onboarding sequence?" require either custom reports or moving between tabs.

SleekView Charts groups gh_contacts, the tag pivot, gh_funnels, and gh_events into chart cards: Number for total active contacts, Donut for optin status, Bar for top funnels by active contacts, Area for daily new contacts. The dashboard refreshes as Groundhogg writes new events, so the picture stays current.

Marketing automation runs on metrics: how many contacts entered, how many completed, where are they stuck, how does this week compare to last. Groundhogg produces all the signals, but the default reporting screens cover them individually and leave the cross-funnel synthesis to a spreadsheet or a custom report. SleekView Charts pulls the answers onto one dashboard that refreshes as Groundhogg writes events.

A marketing lead sees contact growth and broadcast performance in the same view. An automation operator watches funnel-step drop-off as a real chart. A lifecycle manager spots source-channel decay before it becomes a quarterly fire drill.

The data is queryable, the schema is indexed, and the dashboard turns those properties into operational reality.