Groundhogg keeps contacts, tags, funnels, and events in their own custom tables. gh_contacts stores subscriber records with optin status and source, gh_tags and the contact-tag pivot manage tagging, gh_funnels defines the marketing funnels, and gh_events logs every send, open, click, and step completion. The schema is well-indexed for direct SQL access — Groundhogg's own automation engine queries it directly.

The default Groundhogg admin handles each table on its own screen. Cross-funnel contact views ("contacts who completed Funnel A and are currently in Funnel B") require custom reports. Bulk tag updates work through the contact-list bulk actions but lack inline visibility into funnel progress or recent events. Broadcast performance lives in a dedicated analytics tab rather than alongside contacts. Per-source attribution needs SQL because the join between gh_contacts.source and engagement events isn't a default screen.

SleekView reads the Groundhogg custom tables directly, joins contacts to their tags, current funnel step, and event history, and surfaces the funnel-aware queries as saved views. Bulk-tagging after a campaign becomes inline; broadcast deliverability becomes a join with gh_events; lifecycle audits become a step-completion column on the contact view.

Marketing automation lives or dies by funnel progression: how many contacts entered, how many completed, where the drop-offs happen, who's stuck. Groundhogg's automation engine handles the runtime side of those questions well, but the operational side — auditing why specific contacts are stuck, segmenting based on funnel completion for re-engagement campaigns, bulk-tagging after offline events — needs a row-level workspace the default admin doesn't fully provide. The data exists in gh_events and the funnel tables, well-indexed and queryable, but composing a view that joins contact info with current funnel step, last event, and tag membership requires either custom reports or SQL.

SleekView's joined view collapses those queries into saved segments. A lifecycle manager can see how many contacts are at each step of each funnel and who specifically is stuck where. An email marketer can audit a broadcast's delivery by joining gh_events filtered to that broadcast's ID.

A list ops person can bulk-tag everyone who attended a webinar without writing a query. The workspace makes Groundhogg's already-good schema operationally accessible.