SleekView Charts for WooCommerce Composite Products
WooCommerce Composite Products stores bundles, components, and scenarios in serialized _bto_data meta. SleekView Charts turns it into a dashboard for component mix, scenario coverage, and bundle revenue.
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Audit composites without drilling into each one
WooCommerce Composite Products stores each configurable bundle as a single product of type composite, with components ("Frame", "Wheels", "Saddle") defined inside the _bto_data meta as a serialized array. Each component points to a query, a category, a tag, or a hand-picked list, and optionally to scenarios that hide or override pricing. The default product table shows none of this. Auditing a catalog of bundles means opening each one in turn.
SleekView Charts reads _bto_data and joins it to the WooCommerce orders that include composite line items. A Number card counts active composites, a Donut splits components by query type (categories vs hand-picked vs tags), a horizontal Bar ranks composites by revenue contribution, and an Area chart tracks new composite orders per week so a bundle launch shows as a visible spike.
The dashboard works alongside the Composite Products configurator. The configurator keeps owning the bundle editor, the dashboard just borrows the meta long enough to present the catalog as one aggregate read.
Workflow
From _bto_data to a bundle dashboard
Connect composite products
Join order line items
Add chart cards
Save the dashboard
Sample dashboard
Charts you can build from WooCommerce Composite Products data
Active composite products
Count
Components by query type
Count
group by component_query_type
Composites by revenue
Sum(line_total)
group by composite_id
Composite orders per week
Count
group by order_date
Comparison
Default Composite Products reporting vs SleekView Charts
Default Composite Products admin and WooCommerce reports
- Product table does not surface component counts
- No view of query type mix across components
- Revenue per composite buried in line items
- No weekly trend of composite order volume
- Scenario coverage not summarised anywhere
SleekView Charts
- KPI for active composite product count
- Donut split by component query type
- Ranked bar of composites by revenue
- Time-series of composite orders per week
- Drill from chart to the bundle editor
Features
What SleekView Charts gives you for WooCommerce Composite Products
Catalog audit
See total composite count and component query mix on one screen instead of opening each bundle in turn.
Revenue contribution
Rank bundles by revenue so merchandising knows which configurators to feature on the homepage.
Launch tracking
Watch composite orders per week to confirm a bundle launch or configurator change moved actual sales.
Audience
Who builds WooCommerce Composite Products charts dashboards with SleekView
Catalog architects
Audit configurator design across many composites from one screen instead of scrolling product by product.
Merchandisers
Promote the bundles that actually convert by reading the revenue bar before the next homepage refresh.
Ecommerce testers
Tie configurator A/B tests to weekly order volume so the experiment outcome reads from a chart, not a manual export.
The bigger picture
Why a composites dashboard matters
Composite bundles are configurator products, and a configurator catalog needs configurator analytics. The default product table treats each composite as one row with no view into its component count, query design, or revenue. A dashboard turns the catalog into one screen.
Merchandising spots which bundles earn, ops spots configuration drift across components, and ecommerce ties configurator tests to weekly volume. The plugin already writes every signal inside _bto_data and the line items table, the dashboard turns it into an aggregate read.
Questions
Common questions about SleekView Charts for WooCommerce Composite Products
No. SleekView decodes _bto_data and reads order line items in place. The plugin keeps owning the bundle editor, SleekView Charts presents the meta as aggregations.
 Each composite's scenario count becomes a column, charts can group on it or summarise scenario coverage across the catalog.
 Yes. composite_id is a column, any card can scope to one bundle via the underlying table view.
 Both. Aggregations can sum quantity or count distinct orders depending on the merchandising question.
 Composite line items expose the sub-products purchased, so a separate chart can rank components by revenue across all bundles.
 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. Composite Products admin pages keep their existing load path.
 Yes. Drill into a bar segment to reach the underlying composite rows and export their component definitions as CSV.
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