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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
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SleekView Charts for Tickera Attendee Information: turn attendee fields into dashboards

Tickera Attendee Information stores per-ticket custom fields as postmeta on the tc_tickets_instances CPT. SleekView Charts reads those keys, joins to tc_tickets and tc_orders through ticket_type_id and order_id, and renders number, pie, bar, and area cards.

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SleekView Charts dashboard for Tickera Attendee Information

Attendee fields as a planning surface

The Tickera core plugin stores each issued ticket as a row in the tc_tickets_instances custom post type, linked to a ticket type post and an order post through stored meta keys. The Attendee Information add-on extends that ticket instance with per-ticket custom fields, written as additional postmeta on the same ticket instance ID rather than into a separate table.

That schema is great for issuing tickets but quiet about the room itself. The default Tickera screen lists issued tickets in a table and lets staff click into one ticket to read the attendee answers, which is fine for a single check-in but slow when the question is how many attendees picked vegetarian, which session times are oversubscribed, or which shirt sizes still need ordering. SleekView Charts builds a dataset on tc_tickets_instances that already exposes each Attendee Information field key as a column.

The dashboard answers the season's logistics questions from one screen: total attendees with completed registrations, distribution across the custom dietary field, top selected sessions, and the daily registration trend. Numbers update as the attendee form is submitted, and nothing forks the data into a parallel reporting layer.

Workflow

From attendee postmeta to a dashboard

1

Connect to tc_tickets_instances

Point SleekView at the tc_tickets_instances CPT. Core columns like ticket_type_id, owner_id, and order_id appear alongside every Attendee Information custom field key written by the add-on as postmeta on the same ticket row.
2

Join to tickets and orders

Resolve ticket_type_id to the ticket post title from tc_tickets and order_id to the parent tc_orders row for status and totals. Cards label by readable ticket and event names rather than the numeric IDs Tickera stores.
3

Build the four cards

Drop a Number KPI for completed attendees, a Pie for the dietary custom field, a Bar for top selected sessions, and an Area for the daily registration trend. Each card uses one column from the joined dataset.
4

Save the dashboard

Pin the layout as the default Charts view for the event ops workflow. Coordinators open it once each morning to read attendee totals, catering counts, and which session blocks are filling fastest before doors open.

Sample dashboard

Charts you can build from Tickera Attendee Information data

Four cards that turn the Attendee Information postmeta on tc_tickets_instances into a logistics dashboard, resolved through tc_tickets and tc_orders joins.
Number · Default

Completed attendees this event

Headline KPI counting rows in tc_tickets_instances joined to tc_orders where the order status is completed, scoped to the active event through ticket_type_id. Pending and refunded ticket instances drop out at the dataset level.
Count
Pie · Donut

Dietary preference mix

Donut split across the dietary_preference Attendee Information field stored as postmeta on each tc_tickets_instances row, so catering sees vegetarian, vegan, gluten-free, and standard counts without reading individual ticket pages.
Count group by dietary_preference
Bar · Horizontal

Top selected sessions

Horizontal bar of session attendance counts grouped by the session_choice Attendee Information field on tc_tickets_instances, useful for spotting which session blocks are oversubscribed before the room layout is locked.
Count group by session_choice
Area · Gradient

Daily attendee registrations

Gradient area chart of attendee registrations per day sourced from the post_date column on tc_tickets_instances, useful for spotting weekday patterns and the impact of campaigns on the registration curve.
Count group by post_date

Comparison

Default Tickera attendee admin vs SleekView Charts

Default Tickera tickets list

  • Attendee fields only visible by opening one ticket instance at a time
  • No aggregate count of dietary, session, or shirt-size answers
  • Top sessions cannot be ranked without exporting and pivoting in a spreadsheet
  • Date grouping for daily registration pace is not in the default admin
  • No comparison between event totals and the catering or seating cap

SleekView Charts

  • Number, pie, bar, and area cards drawn from tc_tickets_instances and its meta
  • Joins resolve ticket_type_id and order_id to readable ticket and order labels
  • Attendee Information field keys exposed as first-class chart columns
  • Saved dashboards per coordinator with per-card filter scopes
  • Reads canonical Tickera CPTs and postmeta, no parallel reporting database

Features

What SleekView Charts gives you for Tickera Attendee Information

One dashboard, four questions

Completed totals, dietary mix, top sessions, and daily pace on a single screen so the morning standup starts from numbers, not from clicking through per-ticket attendee detail pages in the Tickera admin.

Every field is a chart column

Each Attendee Information field defined in the add-on appears as a groupBy or value column in the dataset, including dietary, session, shirt size, and any custom fields the event ops team added for that specific run.

Catering counts at a glance

A donut grouped by dietary_preference gives catering the vegetarian and vegan counts before the kitchen places its order, sourced directly from the postmeta the attendee form wrote on submission.

Audience

Who builds Tickera attendee charts with SleekView

Event coordinators

Open a saved dashboard each morning for completed totals, session mix, and registration pace. The four cards replace the per-ticket clickthrough on the Attendee Information detail screen for routine planning.

Catering and logistics

Track dietary counts and shirt sizes from the dietary_preference and shirt_size custom fields ahead of the order deadline, with refunds and cancellations visible through the joined tc_orders status filter.

Marketing leads

Watch the daily registration area card to measure campaign impact, comparing the slope after a newsletter send against the baseline pace from the previous week or month.

The bigger picture

Why attendee data needs aggregate dashboards

An attendee detail page is fine for the editing workflow one ticket needs. The moment an event has 600 attendees with three custom fields per ticket, the per-ticket detail screen stops answering the questions logistics actually has: how many vegetarian meals to order, which session blocks need an overflow room, and how the registration curve is trending three days from the door. The Attendee Information add-on captures every answer correctly in postmeta on the tc_tickets_instances CPT, but the default Tickera admin renders it one ticket at a time.

SleekView Charts treats the same postmeta as a dataset and aggregates it into number, pie, bar, and area cards that read each Attendee Information field key directly. The result is a planning surface where completed totals, dietary mix, session demand, and daily pace live on a single screen the team can open in seconds.

Questions

Common questions about SleekView Charts for Tickera Attendee Information

Charts reads the postmeta the add-on writes. Every field defined in Attendee Information is stored as postmeta on each tc_tickets_instances row, and SleekView exposes those keys as dataset columns so you can groupBy dietary, session, shirt size, or any other custom field on the same level as core ticket columns.

 

Yes. The dataset joins tc_tickets through ticket_type_id, so a card can filter to one ticket type or one event scope. A bar grouped by ticket_type_id with the ticket name resolved through the join returns attendees per ticket type for the active event.

 

The dataset joins tc_orders on the order_id meta key. Filtering the join to orders with completed status keeps refunded, pending, and failed orders out of the attendee count. Switching the filter scope returns the gross count including refunds when finance needs that number.

 

Yes. Every card has a filter scope that can target a single ticket_type_id or event, a category, or a date range on post_date. The filter applies on top of the aggregation, so a daily pace card scoped to one event shows only that event's registration curve.

 

Yes. SleekView refreshes the dataset schema from the postmeta keys present on tc_tickets_instances. A field added in the Attendee Information settings becomes a column available for groupBy or value duty on the next dataset refresh, no SQL or column mapping required.

 

Yes. The free Tickera plugin writes the tc_tickets_instances CPT, and the Attendee Information add-on writes its custom field values as postmeta on the same rows. SleekView reads both layers, so the dashboard works on a free Tickera install with the add-on enabled.

 

Yes. Each card has an underlying dataset slice that exports to CSV with the columns the chart used to aggregate. Useful when catering needs the per-attendee dietary rows behind a count or when finance needs the joined tc_orders rows behind a completed attendee total.

 

Reporting add-ons typically build a parallel data layer fed by hooks on the ticket instance save action, which means a second moving part to keep in sync. SleekView Charts reads tc_tickets_instances and its postmeta directly, so the dashboard reflects the same row the ticket detail page edits without an extra sync step or stale cache.

 

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