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✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
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SleekView for Mautic WP Integration: contacts, segments & form sync as tables

The Mautic WP Integration mirrors contact identity and form-to-segment mappings into wp_options and a small set of plugin tables. SleekView reads the mirror so per-contact sync status, segment mappings, and queued events all render as one filterable workspace.

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SleekView table view for Mautic WP Integration

Mautic sync triage in one screen

The Mautic WP Integration plugin authenticates against a self-hosted or cloud Mautic instance and mirrors a slice of identity locally: known WordPress users get a Mautic contact ID stored in wp_usermeta under a key like mautic_contact_id, form-to-segment mappings live in wp_options, and a small queue table tracks events that haven't yet been pushed upstream.

The plugin's default screen is a settings page plus a per-form meta box. There's no row-level view of which users have been mirrored, which form submissions are stuck in the sync queue, or which segments a given user is mapped to. Triaging a failed sync today means tailing the plugin's debug log or running ad-hoc SQL against wp_options, neither of which is a workflow ops can own.

SleekView reads the mautic_contact_id meta, the cached segment list in wp_options, and the sync queue, then joins to wp_users and form posts. Stuck events, missing contact IDs, and orphan segments become filterable rows; inline retries route through the plugin's own queue worker so the upstream Mautic event log stays consistent.

Workflow

Mautic mirror tables as a workspace

1

Map the mirror

Point SleekView at wp_usermeta for mautic_contact_id, the wp_options keys holding segment and field caches, and the plugin's sync queue table. Each becomes a typed source.
2

Join queue to users

Join the queue table to wp_users and to the segment cache so each event row carries the user email, the mapped segment name, and the last error code inline.
3

Save the triage views

Build saved views for the recurring questions: failed in last 24 hours, queued for more than an hour, users with no contact ID, mappings pointing at deleted segments.
4

Retry and re-map inline

Trigger retries through the plugin's queue worker on selected rows. Re-map a form to a new segment inline if the upstream segment was renamed. Writes route through the plugin's own API client.

Sample columns

A typical Mautic sync queue view

Pending and recent sync events with target segment and last error.
Source: wp_usermeta (mautic_contact_id) + wp_options (mautic_*) + plugin sync queue table
User Mautic ID Event Segment Status Last attempt
alex@studio.co 48211 form_submit newsletter Synced May 17
ria@design.io 48214 tag_add trial-users Synced May 17
tom@hello.dev (missing) form_submit newsletter Queued May 18
mia@brew.coop 48107 segment_add vip-cohort Failed (401) May 18

Comparison

Default Mautic WP Integration admin vs SleekView

Default Mautic WP Integration admin

  • Sync queue lives in a plugin table with no UI beyond a status badge
  • Per-user Mautic contact IDs are stored in wp_usermeta, never listed
  • Form-to-segment mappings live in wp_options behind a single meta box
  • Failed events surface only in the debug log
  • Bulk retries require WP-CLI or a custom script

SleekView

  • Joined view of the sync queue + wp_users + segment names
  • Filter by event type, segment, and failure code together
  • Inline retry that routes through the plugin's own queue worker
  • Surface users with no mautic_contact_id as a triage cohort
  • Save views: "failed in last 24h", "queued > 1 hour", "missing contact ID"

Features

What SleekView gives you for Mautic WP Integration

Sync queue triage

Failed and queued events from the plugin's sync table render with the user, segment, and last error code visible. Filter to failures in the last 24 hours and bulk-retry through the plugin's own worker.

Segment mapping audit

Join wp_options form-to-segment mappings against the live segment list and surface mappings pointing at deleted segments. Stop the silent drift between WordPress forms and upstream Mautic segments.

Missing contact-ID cohort

Users without a mautic_contact_id in wp_usermeta filter into one view. Bulk-trigger the identity sync from there instead of hoping the next form submission re-creates the link.

Audience

Who uses SleekView for Mautic WP Integration

Marketing engineers

Own the sync queue as a queue, not a debug log. Triage failures, retry through the plugin's worker, and keep the form-to-segment mappings clean as the Mautic team renames segments upstream.

Campaign ops

Audit which WordPress forms map to which Mautic segment before launching a campaign. Reassign the mapping inline if a segment was renamed, no need to open the per-form meta box on a hundred forms.

Privacy leads

Cross-check that users who requested deletion in WordPress also lost their mautic_contact_id link. A saved view surfaces any user with a deletion timestamp who still has an active mirrored contact.

The bigger picture

Why a sync layer needs a queue UI

Every WordPress-to-marketing-platform bridge eventually grows a sync queue, and Mautic's WP integration is no exception. The plugin handles the heavy lifting of authentication, payload shaping, and retries, but its admin surface stops at a settings page because that's all the install wizard needs. Once a site has thousands of users and dozens of form-to-segment mappings, the queue becomes operationally important: failed events accumulate, mappings drift as segments get renamed upstream, and the only place that data lives is a plugin table with no UI.

Triaging a failed sync turns into tailing a debug log, which is fine for a developer once a quarter but doesn't scale to the campaign ops team that needs to verify a list is clean before the next send. SleekView turns the queue and the mirror into a row-level workspace built on the data the plugin already maintains, with retries routing through the plugin's own worker so the upstream Mautic event log stays a single source of truth. For teams running self-hosted Mautic alongside WordPress, that workspace is what keeps the bridge trustworthy without rebuilding the integration in code.

Questions

Common questions about SleekView for Mautic WP Integration

No. It reads the local mirror the plugin already maintains, plus the plugin's sync queue table. Pushes to Mautic still route through the plugin's own API client and worker, so authentication and rate limiting stay centralised.

 

Yes. The retry action calls the plugin's queue worker on the selected rows. Bulk retries process through the same worker that the plugin's cron uses, so any registered hooks fire exactly as they would on a scheduled run.

 

Token state is stored in wp_options and SleekView exposes it as a status column on the settings view. Failures with a 401 code filter into one cohort so re-authenticating is one action away.

 

Custom field mappings are cached in wp_options by the plugin. SleekView surfaces those as a reference list so you can audit which WordPress form fields write to which Mautic custom field without opening each form's meta box.

 

No. Queries hit the plugin's queue table on its existing index, and SleekView paginates server-side. Sites with tens of thousands of queued events render quickly because the workspace only loads the visible page.

 

Yes. Any saved view exports to CSV. Useful for sharing a post-mortem of a sync incident with the platform team or archiving the failure cohort for trend analysis.

 

When a WordPress user is deleted, the plugin queues a deletion event for Mautic. SleekView lets you audit those events as a cohort: filter to event = user_delete and verify each one synced successfully before signing off the privacy log.

 

If the plugin is configured for multiple instances via filters, the per-instance segment cache and queue tables surface as separate sources in SleekView. Each instance becomes its own workspace with the same audit views available.

 

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