Loops.so WP is a thin SaaS connector. It does not maintain a deep WordPress schema. Configuration sits in wp_options under a prefixed key, recent sync attempts and webhook payloads land in a small log table or option blob, and per-user identifiers are stored as wp_usermeta values so the plugin can map a WP user to a Loops contact id.

The default plugin screen shows whether the API key is connected and which forms are wired up. It does not give a row-level view of which sync attempts succeeded, which failed, and what the payload looked like. When a form submission silently fails to appear in Loops, there is no in-admin table to scan. Retries are manual, per-record, and require opening the Loops dashboard to confirm whether the contact landed.

SleekView reads the sync log table (or option-stored log) directly, exposes wp_usermeta Loops contact ids as a column on the users view, and joins recent submissions to their delivery status. Failed pushes become a filterable cohort, the raw event payload becomes a cell you can inspect inline, and bulk-retry routes through the plugin's existing send action so hooks keep firing.

Plugins like Loops.so WP are deliberately lightweight. The heavy lifting (segmentation, sending, analytics) happens in the SaaS, and the WordPress side is a queue, a mapping, and a config blob. That works until something silently fails.

A form submission that never makes it to Loops is invisible from the default plugin screen and impossible to diagnose without opening the Loops dashboard and cross-referencing timestamps. The data needed for that diagnosis is already in WordPress (in the log table, in wp_usermeta, in the payload row) but the default UI surfaces almost none of it. SleekView turns those low-visibility tables into a workspace.

Failed deliveries become a filterable cohort, payloads become inspectable cells, and bulk retries route through the plugin's existing send action so hooks keep firing and rate limits stay honoured. For teams running Loops as their lifecycle layer, that audit view is the difference between trusting the integration and constantly second-guessing it.