SleekView Charts for Popup Maker
Popup Maker stores subscribers in wp_pum_subscribers with email, popup_id, consent, and created. SleekView Charts groups that schema into number, pie, bar, and area cards so marketing and compliance see signups, consent mix, and popup performance on one screen.
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wp_pum_subscribers as a marketing-ops dashboard
Popup Maker is one of the few popup plugins with a real subscriber schema. wp_pum_subscribers carries stable columns: ID, email, name, popup_id, consent, consent_args, user_id, and created. The default admin lists subscribers without rolling them up into charts, so monthly signup volume, popup mix, and consent rate require CSV exports.
SleekView Charts reads wp_pum_subscribers directly and joins wp_posts on popup_id so chart labels show readable popup names. A Number card totals subscribers this month. A Donut splits captures by popup. A Bar ranks popups by signup count. An Area card plots daily signup volume from the created column.
Consent state from the consent and consent_args columns becomes a filter chip on the dashboard, so compliance teams scope every card to granted-consent only. Same database, same hooks, real reporting on top.
Workflow
From wp_pum_subscribers to a marketing dashboard
Connect the table
Pick groupings
Compose the dashboard
Scope by capability
Sample dashboard
Charts you can build from Popup Maker data
Subscribers this month
Count
Captures by popup
Count
group by popup_id
Top popups by signups
Count
group by popup_id
Daily signups
Count
group by created
Comparison
Default Popup Maker reporting vs SleekView Charts
Default Popup Maker subscriber list
- Subscriber list has no rollup or trend chart
- No share-by-popup pie in the admin UI
- No daily signup volume area chart
- Consent state visible per row but not as an aggregate
- Cross-popup comparison requires CSV export
SleekView Charts
- Number card totals subscribers this month
- Donut splits captures by popup with names resolved via join
- Bar ranks popups by signup count for fast performance reads
- Area card plots daily volume from the created column
- Consent filter chip scopes every card for compliance views
Features
What SleekView Charts gives you for Popup Maker
Monthly signup headline
A Number card totals rows added in the current month. Marketing ops opens the dashboard and reads the headline first.
Consent-aware aggregates
Filter every card to granted-consent only and the dashboard becomes the compliance audit surface. No SQL, no spreadsheet pivots.
Popup performance ranking
Horizontal Bar ranks popups by capture count. The popups that earn the slot stay, the ones that do not become candidates for retirement.
Audience
Who builds Popup Maker charts dashboards with SleekView
Marketing ops
Monthly subscribers, popup mix, daily trend, all on one screen. The dashboard replaces the spreadsheet ritual that used to track campaign performance.
Compliance and audit
Granted-consent totals, denied-consent counts, and consent trend over time. Data-subject requests stop being one-off SQL exercises.
Conversion teams
Rank popups, spot zero-capture ones, double down on top performers. The Bar card answers the resource-allocation question instantly.
The bigger picture
Why subscriber schema deserves real reporting
Popup Maker built a real schema for captures, with stable columns for popup, consent, and timestamp. Reporting infrastructure that respects that schema unlocks the strategic questions: which popups carry the load, when do signups spike, what share of captures actually have granted consent, how does the trend look month over month. The default admin lists rows; SleekView Charts aggregates them.
Marketing ops sees the mix, compliance sees the consent split, conversion teams see the ranking. The plugin still owns capture and the consent flow, the charts just turn the resulting rows into the reporting surface real teams need.
Questions
Common questions about SleekView Charts for Popup Maker
Yes. The aggregation runs against the same table SleekView's view tool reads, with no plugin abstraction in between. Queries hit indexed columns, joins resolve popup_id to wp_posts for readable labels, and consent_args expands into a filter chip on the dashboard.
 Yes. A consent filter chip with granted, pending, and denied scopes every card to that state. Compliance dashboards typically show granted-only; acquisition dashboards typically show the full mix to read collection effectiveness.
 Pro features add fields and integrations but the subscriber schema stays the same. Any additional columns from Pro extensions become available as group-by options. The free plugin's wp_pum_subscribers carries everything the dashboard needs.
 Yes if the install captures them in known fields or meta. SleekView Charts exposes any column from the joined data as a group-by option, so plan tier, country, or referral code can each become a chart dimension.
 Yes by default. If you anonymize a subscriber via SleekView's inline edits (blanking email and consent_args), the row still counts in totals because the database row remains. To exclude anonymized rows, filter to non-empty email before charting.
 Deleted popups appear in the Bar card with a deleted indicator and their ID. The captures they collected still count in totals because the subscriber rows persist. Filter to non-deleted popups when the ranking should only reflect live ones.
 The Area card groups by the created column with Count aggregation, producing one point per day. The trend shape surfaces campaign spikes, content-driven baselines, and quiet periods on the same canvas.
 No. SleekView Charts reads existing rows in wp_pum_subscribers; it does not inject scripts, fire pixels, or send data anywhere. Popup Maker continues to handle capture, and the dashboard is purely a read layer over the resulting data.
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