✨ 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
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount

SleekView Charts for CheckoutWC

SleekView reads the same template and upsell meta the table view uses and renders template-variant conversion, upsell outcomes, abandoned sessions, and order volume as chart cards inside WP Admin.

♾️ Lifetime License available

SleekView Charts dashboard for CheckoutWC

Checkout optimisation needs a chart layer

CheckoutWC replaces WooCommerce's default checkout with a one-page flow and collects per-session data along the way: which template variant rendered, which fields a buyer touched, which upsell offers fired, which validation messages appeared. All of it lands in WordPress meta and CheckoutWC's session records, which makes it queryable but not visible.

SleekView's table view exposes that data row by row. SleekView Charts aggregates the same data into a dashboard. Template A is converting at one rate, template B at another, expressed as a Bar grouped by template_variant. Upsell offer X has a 12% acceptance rate, expressed as a Pie of accepted vs declined vs skipped. Abandoned sessions cluster around shipping fields, expressed as a Bar of last_field_touched.

Configuration belongs in CheckoutWC's own UI. Charts belong on a dashboard the conversion team can open every morning. Same data, same plugin, the optimisation conversation finally has numbers attached.

Workflow

From CheckoutWC meta to a conversion dashboard

1

Read the orders and sessions

SleekView reads wc_orders with CheckoutWC template and upsell meta joined, plus CheckoutWC's session and counter records. The chart view aggregates the same joined dataset.
2

Pick chart types per metric

Number for headline orders and revenue, Bar for template-variant comparison, Pie for upsell outcome distribution, Area for orders over time. The agent UI lists CheckoutWC meta keys actually populated on recent orders.
3

Filter by template and device

Scope the dashboard to a single template variant, a device type, or a traffic source. Filters apply to every card, which is what makes a per-variant comparison meaningful.
4

Save per-role dashboards

Conversion teams get template-variant cards. Merchandising gets upsell offer cards. Developers get abandoned-session cards. Each saved layout binds to a WordPress capability.

Sample dashboard

Charts you can build from CheckoutWC data

Cards read directly from wc_orders with CheckoutWC meta joined and from the plugin's session and counter records. No new tables are created.
Number · Default

Completed orders this period

Counts orders with status equal to completed in the active date filter. The headline KPI that anchors every checkout-optimisation review and makes period-over-period comparison trivial.
Count
Bar · Default

Orders by template variant

Counts completed orders per CheckoutWC template variant. The fastest read on which template is shipping more orders, useful as the input to a more careful conversion-rate calculation.
Count group by template_variant
Pie · Donut

Upsell outcome distribution

Counts sessions by upsell outcome (Accepted, Declined, Skipped, Errored). Reveals whether an offer is converting, being dismissed, or quietly failing to render at all.
Count group by upsell_outcome
Area · Gradient

Order volume over time

Trend of completed orders by day. Pair with a template_variant filter to track the lift from a template change or with a campaign filter for promo-window analysis.
Count group by order_date

Comparison

Default CheckoutWC analytics vs SleekView Charts

Default CheckoutWC analytics

  • Per-template conversion data scatters across option and transient records
  • Upsell outcome distribution is not surfaced as a dashboard chart
  • Abandoned-session field-touch data is not pivoted into a chart layer
  • No cross-template visualisation inside WP Admin
  • Order volume and template performance need separate dashboards

SleekView Charts

  • Order counts pivoted by template_variant
  • Upsell outcomes as a single donut chart
  • Abandoned-session field-touch breakdown
  • Date-filtered order volume trend
  • Cards read from the same data the table view exposes

Features

What SleekView Charts gives you for CheckoutWC

Template variant as a chart axis

A Bar grouped by template_variant exposes which checkout layout is converting more. Add a date filter to compare the week before and after a template flip, no spreadsheet required.

Upsell performance breakdown

A Pie of upsell outcomes shows accepted, declined, and skipped at a glance. Pair with a per-offer Bar to identify low-performers ready to retire.

Abandoned-session field analysis

A Bar of last_field_touched on abandoned sessions exposes where checkout is losing buyers. Shipping fields cluster, address autocomplete failures appear, the next template revision has a target.

Audience

Who builds CheckoutWC charts dashboards with SleekView

Conversion teams

Template-variant Bar and order-volume Area as the morning dashboard. Each test cycle starts with the chart that surfaced the question and ends with the chart that confirms the lift.

Merchandising leads

Per-offer upsell outcome Pie and revenue contribution Bar. Bottom-three offers get retired or rewritten with the data to justify it; top offers get expanded into more funnels.

Developers and consultants

Abandoned-session field-touch Bar isolates form friction. A spike in validation errors on a specific field signals an integration issue worth fixing before the next campaign.

The bigger picture

Why checkout optimisation needs a dashboard

Replacing WooCommerce's checkout with CheckoutWC is one of the highest-impact decisions a store can make for conversion. The plugin earns that impact by collecting genuine per-session detail: template variant, field touches, upsell outcomes, validation messages. The catch is that none of this data is visible at the row level without going looking, and even the table view requires a per-question filter exercise.

SleekView Charts collapses the recurring optimisation questions into a dashboard layout. Template comparison is a Bar. Upsell breakdown is a Pie.

Abandoned-session triage is a Bar of last-field-touched. Order trend is an Area. The data CheckoutWC already collects becomes the morning dashboard the conversion team actually reads, instead of intuition stitched together from headline averages and memory of which test launched when.

Questions

Common questions about SleekView Charts for CheckoutWC

No. Charts read from wc_orders with CheckoutWC template and upsell meta joined, plus the plugin's existing session and counter records. No new tables are created and no migration is needed to start charting.

 

Yes. Build a Number card with a derived column: count of completed orders divided by count of abandoned plus completed sessions, multiplied by 100. The agent UI suggests this composition for the common funnel ratios.

 

Yes. Order bumps are tracked with an outcome per session (Selected, Skipped). A per-bump Bar or per-bump Pie renders the same way as upsell outcomes, so funnel-stage charts cover bumps and upsells uniformly.

 

Yes. Charts read live from wc_orders and CheckoutWC's session tables. The refresh latency is at most the cache duration configured on the chart card. During an A/B test, set the cache to a few minutes so the chart reflects new orders almost immediately.

 

Yes. The template_variant Bar with a date filter and a device-type filter gives a head-to-head comparison. For statistical rigor pair it with the table view to inspect individual rows and confirm the comparison is fair across other dimensions.

 

Yes. The split-test add-on writes the active variant per session into order meta the same way the base plugin does, so the template_variant column already covers split-test variants. Charts grouped by that column reflect whichever variant was active for each order.

 

Independently. WooCommerce Analytics aggregates revenue across the whole store; SleekView Charts focuses on per-row CheckoutWC behavior pivoted into chart cards. The two surfaces answer different questions and the orders that appear in both are the same orders.

 

Yes. Each card exports its underlying filtered rows to CSV, and the full dashboard exports as a PDF. The weekly conversion review becomes narrative on top of charts that are already there, not a slide assembly exercise.

 

Pricing

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