SleekView Charts for WooCommerce Product Bundles
Product Bundles v5.0 stores associations in woocommerce_bundled_items and bundled_itemmeta. SleekView Charts turns that schema into a portfolio dashboard with revenue ranking, discount distribution, and adoption metrics.
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Bundle portfolio data, ranked
Product Bundles v5.0 migrated bundle-to-product associations out of postmeta and into woocommerce_bundled_items and woocommerce_bundled_itemmeta. The new schema is far more queryable, but the default admin still treats each bundle as a self-contained edit screen. Cross-bundle questions, which bundles drive the most revenue, which contain optional add-ons that customers actually pick, where discount levels have drifted across the portfolio, require either custom SQL or clicking through every bundle.
SleekView Charts reads the two bundled-item tables directly and aggregates across every bundle in the catalog. Revenue per bundle ranks on a Bar chart. Discount distribution across bundled items breaks down on a Donut. Optional add-on adoption rate (how often customers pick the optional items) graphs on a separate Bar. Total bundle revenue this month becomes a Number card.
The dashboard pairs with the SleekView Product Bundles table view, so merchandising clicks a top-revenue Bar segment and sees the bundled-item rows behind it. Stock managers filter to bundles containing out-of-stock products and pre-empt checkout failures from the chart layer instead of from after-the-fact support tickets.
Workflow
Bundle dashboards in four steps
Connect bundled-item tables
Build portfolio cards
Save audit dashboards
Drill and edit
Sample dashboard
Charts you can build from WooCommerce Product Bundles data
Bundle revenue this month
Sum(bundle_revenue)
Revenue per bundle
Sum(bundle_revenue)
group by bundle_id
Discount distribution
Count
group by discount_bucket
Optional add-on adoption
Average(adoption_rate)
group by bundled_item_id
Comparison
Default Product Bundles reports vs SleekView Charts
Default Bundles admin
- Cross-bundle revenue ranking isn't a built-in chart
- Discount distribution audits require manual filter clicks per bundle
- Optional add-on adoption rate isn't surfaced anywhere
- Bundle revenue trend over time needs a custom report
- Stock-aligned bundle audits need SQL
SleekView Charts
- Monthly bundle revenue as one Number card
- Revenue per bundle ranked on a Bar chart
- Discount distribution as a Donut for audit cycles
- Optional add-on adoption ranked as a separate Bar
- All cards read v5.0 bundled-item tables directly
Features
What SleekView Charts gives you for WooCommerce Product Bundles
Revenue ranking
Bar chart of bundle revenue surfaces the top performers and the laggards in one view. Promote the top, rationalise the bottom, and the merchandising review becomes a 10-minute exercise.
Discount audit
Donut chart of discount buckets across bundled items spots drift before it erodes margin. The 21%+ slice is the audit target every quarter.
Optional adoption
Bar chart of optional add-on adoption rate distinguishes useful optional bundles from dead ones. Promote high-adoption optionals to required; archive low-adoption ones.
Audience
Who builds WooCommerce Product Bundles charts dashboards with SleekView
Merchandising
Revenue ranking and optional adoption Bars drive promotion picks and rationalisation cycles. The dashboard turns bundle merchandising into a chart-driven process.
Catalog ops
Discount distribution Donut surfaces drift across the portfolio. The 21%+ bucket gets the audit before margin quietly disappears across bundles.
Stock managers
Filter the dashboard to bundles containing out-of-stock products to pre-empt checkout failures. Stock-aligned bundle audits become a chart-layer task instead of a SQL exercise.
The bigger picture
Why bundle portfolios need a chart layer
Bundles are catalog leverage: one customer purchase moves multiple SKUs. They are also catalog risk: a discontinuation that wasn't audited produces broken bundles, a discount that drifted on three bundled items quietly erodes margin, an out-of-stock product silently blocks every bundle that includes it. Product Bundles v5.0 created the conditions for cross-bundle analysis by moving bundled-item data into dedicated tables.
The default admin still treats each bundle as a self-contained edit screen, so portfolio-level questions stay locked in SQL or per-bundle clicks. SleekView Charts builds the dashboard on top of the v5.0 schema directly. Revenue ranking surfaces the winners and losers.
Discount distribution catches drift. Optional adoption distinguishes useful options from cleanup targets. Stock-aligned filters pre-empt the checkout failures that broken bundles cause.
Combined with the SleekView Product Bundles table view for inline edits through the WC_Bundled_Item_Data CRUD, merchandising teams get the operational surface that bundle catalogs have always needed.
Questions
Common questions about SleekView Charts for WooCommerce Product Bundles
Cross-bundle charts are most efficient on v5.0+ where bundled items live in dedicated tables. Earlier versions store bundle config in postmeta, which works but is slower at scale. The dashboard reads whichever storage the installed version uses.
Yes. Join the bundle-revenue aggregation with non-bundle product revenue from WooCommerce orders. A Bar chart with two grouped bars per period (bundle vs standalone) shows how much margin the bundle program contributes relative to the rest of the catalog.
Yes. Composite Products from the same vendor uses similar custom tables. A separate composite dashboard alongside the bundle dashboard audits both layered-product extensions in the same chart-driven way.
Yes. Joining bundled_items with order item meta (where both bundle and bundled-item IDs are stored) produces sold counts per bundled item. A Bar chart of bundled-item sales velocity reveals which bundled items customers actually receive most often.
Yes. Product Bundles stores bundle config independent of orders. Revenue-side charts read from whichever order table HPOS is configured to use; bundle-side charts (discount distribution, optional flag mix) are unaffected by HPOS configuration.
Yes. Joining bundled_items with the linked product's stock status produces a filter for bundles containing any out-of-stock product. Apply that filter to the dashboard to see only at-risk bundles, useful before sale events when checkout failures hurt most.
Yes. Drilling from a chart segment into the SleekView Product Bundles table and editing through the WC_Bundled_Item_Data CRUD ensures storefront cache invalidation, bundle-price recalculation, and any custom hooks fire correctly. Direct DB edits are explicitly opt-in per view.
Yes. Each chart exports aggregated rows to CSV. A monthly bundle revenue contribution report becomes an export from the revenue-per-bundle Bar plus the bundle-revenue Number card with active filters applied. Accounting gets the bundle-program margin number cleanly.
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