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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
✨ 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

SleekView Charts for Checkout Field Editor

Checkout Field Editor stores custom-field definitions in wc_fields_* options and values in order meta. SleekView Charts turns both into a dashboard for fill rate, value distribution, and weekly capture volume.

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SleekView Charts dashboard for Checkout Field Editor

Stop opening orders to read what customers typed

Checkout Field Editor adds custom fields to billing, shipping, or additional sections at WooCommerce checkout: gift messages, delivery instructions, VAT IDs, referral sources. The field definitions live in WordPress options (wc_fields_billing, wc_fields_shipping, wc_fields_additional), the customer-entered values land in order meta. The default Orders list shows none of these, so any aggregate read of how customers used the field means opening orders one at a time.

SleekView Charts reads the definitions and the values together and presents them as a capture dashboard. A Number card counts total responses across all custom fields, a Donut splits values for a chosen field (referral source, delivery slot), a horizontal Bar ranks fields by fill rate, and an Area chart tracks responses per week so the impact of a checkout-page change shows as a visible curve.

The dashboard works alongside Checkout Field Editor. The plugin keeps owning the field editor and the checkout-render layer, the dashboard just turns the captured values into an aggregate read.

Workflow

From field definitions to a capture dashboard

1

Connect wc_fields_* options

Custom field definitions for billing, shipping, and additional sections become a registry of typed columns.
2

Join wc_orders_meta values

Each captured value lands as a row, joined to the order so date and total are available for chart cards.
3

Add chart cards

Drop in Number, Donut, Bar, and Area cards over field_name, field_value, and order_date.
4

Save the dashboard

Pin the view as the checkout-field home screen. Each card respects underlying table filters for drill-downs.

Sample dashboard

Charts you can build from Checkout Field Editor data

Field-fill rates and value distribution on one page, marketing and operations read the same source.
Number · Default

Total custom-field responses

Top-level KPI of every captured custom-field value across orders, regardless of which field.
Count
Pie · Donut

Referral source distribution

Donut split of values entered into a chosen field, useful for a referral-source dropdown or a delivery-slot picker.
Count group by field_value
Bar · Horizontal

Fields by fill rate

Horizontal bar ranks each custom field by how often it is filled across orders so unused fields are easy to retire.
Count group by field_name
Area · Gradient

Captures per week

Time-series of custom-field captures so checkout-page changes show up as a visible curve in fill volume.
Count group by order_date

Comparison

Default Checkout Field Editor reporting vs SleekView Charts

Default Checkout Field Editor admin

  • Field editor configures fields, does not read captured values
  • No aggregate count of captures across fields
  • No fill rate ranking across the field set
  • Cannot summarise the distribution of dropdown answers
  • No weekly trend of capture volume

SleekView Charts

  • KPI for total custom-field responses
  • Donut split for a chosen field's values
  • Ranked bar of fields by fill rate
  • Time-series of captures per week
  • Drill from chart segment to the order row

Features

What SleekView Charts gives you for Checkout Field Editor

Field fill ranking

See which custom fields actually get filled so the checkout form can be trimmed to the ones that matter.

Answer distribution

Read the share of each dropdown answer in one donut, referral source becomes a marketing channel report.

Volume tracking

Watch captures per week to confirm a checkout-page change actually moved field-completion rates.

Audience

Who builds Checkout Field Editor charts dashboards with SleekView

Marketing teams

Turn a How did you hear about us field into a real attribution donut without exporting orders one at a time.

Checkout designers

Read which fields earn their place on the checkout page from a fill-rate ranking instead of an opinion.

Operations teams

Aggregate delivery instructions, gift messages, and VAT IDs to spot recurring patterns and bake them into the standard flow.

The bigger picture

Why a checkout-field dashboard matters

Custom checkout fields collect value the storefront never reads back. Default Checkout Field Editor configures the field, but the read direction stays manual: open an order, scroll to the section, copy the value. A dashboard inverts that.

Aggregating responses turns a referral-source dropdown into a marketing channel report, ranking fields by fill rate trims the checkout form to the fields that earn their place, and watching volume over time confirms a checkout change moved completion. The plugin already captures every value, the dashboard makes them readable.

Questions

Common questions about SleekView Charts for Checkout Field Editor

No. SleekView reads wc_fields_* options and order meta in place. The plugin keeps owning the field editor, SleekView Charts presents the values as aggregations.

 

Yes. field_name is a column, any donut or bar card can scope to one field for a focused report.

 

Yes. wc_fields_additional is read on the same surface as billing and shipping definitions.

 

Yes. New fields land in the wc_fields_* option, the next dashboard refresh exposes them as group-by values.

 

Yes. Drill into a donut segment for one referral-source value and export the underlying orders as CSV for follow-up.

 

Yes. SleekView reads wc_orders and wc_orders_meta on HPOS installs and legacy postmeta on classic ones.

 

Charts run from the SleekView query layer with caching. Checkout Field Editor admin pages keep their existing load path.

 

Indirectly. The fill-rate ranking and weekly capture trend signal whether the field is friction or value, and the order date join lets the chart cross-reference order revenue.

 

Pricing

More than 1000+
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