Yes. Lightbox, slide-in, inline, after-post, and notification bar opt-ins all log to wp_mo_optin_conversions with a campaign type field, so the same table view works across every form factor. You can filter by type when one placement style is performing differently and you want to compare exit-intent against inline forms specifically.

Yes. The simplest path is filter, export to CSV, and import into Mailchimp, ConvertKit, or Klaviyo. The more durable path is to keep using MailOptin's existing ESP integrations and use SleekView only for review and cleanup; that way the sync is automatic and SleekView is your inspection layer rather than a parallel pipeline.

Yes. MailOptin tracks pending and confirmed states for double opt-in campaigns, and SleekView surfaces them as filterable column values. A common preset is pending double opt-in older than three days, which is a clean trigger for a confirmation reminder email or a manual review of why confirmations are not landing.

Yes. Bulk delete fires MailOptin's removal hooks rather than touching the database directly, so any synced ESP lists, custom integrations, or audit listeners run as expected. That keeps the MailOptin internal state and your downstream lists consistent, which matters more for ESP deliverability than the cleanup itself.

Yes. Premium adds A/B test variant data, custom field values, and additional campaign types, and SleekView surfaces any new column when you re-scan the table. A/B variant becomes a filterable column, so a marketer can see which variant is winning at the lead level rather than just at the conversion-rate level.

Yes. The table reads live from the MailOptin tables on each page load, so new opt-ins appear on refresh. There is no scheduled sync, no caching layer between the conversion and the dashboard. A marketer launching a new popup can watch the first leads come in within minutes of going live.

Yes, if MailOptin captures them. MailOptin Premium stores UTM source, medium, and campaign with each conversion, and SleekView exposes those as filterable columns. That turns the lead inbox into a proper attribution tool: filter to utm_source equals newsletter and you see exactly which leads came through your last broadcast.

Indirectly, through joins. If a lead later becomes a WooCommerce customer or LearnDash student, you can join wp_mo_optin_conversions to wp_users by email and surface lifetime value or course progress alongside the original opt-in source. That closes the loop between marketing capture and downstream conversion in a single workspace.