SleekView Charts for WPC Frequently Bought Together
WPC Frequently Bought Together attaches a Bought Together box to each product and stores the resulting multi-product orders. SleekView Charts surfaces FBT attach rate, top pairs, and AOV uplift in Number, Pie, Bar, and Area cards.
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From a product-page widget to a cross-sell dashboard
WPC Frequently Bought Together adds a Bought Together selector to product pages and lets shop managers define which products travel together. When customers add the suggested set, the order arrives with multiple product lines linked by the same cart key, and the parent product carries a _wpc_fbt_products meta listing the configured cross-sells.
The default admin shows the cross-sell list per product. There is no dashboard of which suggestions convert, which pairs dominate, or how FBT lifts AOV across the catalogue.
SleekView Charts reads the parent product meta plus the WooCommerce order items table. Cross-sells per product become a groupBy, the multi-line order flag becomes a filter, and order date plus line total become trend and revenue axes. The dashboard turns the Bought Together widget into a measured channel.
Workflow
From WPC FBT data to chart cards
Point at products and order items
Tag FBT orders
Compose chart cards
Save the cross-sell view
Sample dashboard
Charts you can build from WPC Frequently Bought Together data
FBT orders this month
Count
Top cross-sell pairs
Count
group by pair_label
FBT revenue by parent product
Sum(order_total)
group by parent_product
FBT sales over time
Sum(order_total)
group by order_date
Comparison
Default WPC FBT admin vs SleekView Charts
Default WooCommerce products screen with FBT settings
- Cross-sell list lives per product, no dashboard of channel performance.
- Top product pairs are not surfaced anywhere in admin.
- FBT attach rate against single-product orders not visualised.
- AOV uplift from FBT requires a manual CSV export.
- No time-series chart for cross-sell revenue.
SleekView Charts
- Reads the _wpc_fbt_products meta and the WooCommerce order items table.
- Tag orders as FBT through a derived has_fbt flag, available as a filter.
- Aggregate with sum, average, count, and maximum across FBT revenue.
- Saved views per role: merchandising, marketing, finance.
- Click through any chart card to the SleekView orders table.
Features
What SleekView Charts gives you for WPC Frequently Bought Together for WooCommerce
Top pair discovery
Pie card on pair_label exposes the cross-sell combinations customers actually pick. Merchandising stops guessing and tunes the FBT lists to real behaviour.
AOV uplift visible
Filter the dashboard by has_fbt and compare AOV against single-product orders. A single Number card answers the question marketing keeps asking.
Channel pacing
Area card on order date with sum of FBT revenue tracks the cross-sell channel against the rest of the catalogue, day by day.
Audience
Who builds WPC FBT charts dashboards with SleekView
Merchandising teams
Top pairs and revenue by parent product. Drives the next FBT assortment decision and validates the previous one.
Marketing
AOV uplift from FBT orders and channel pacing over time. Tells the cross-sell story in one chart.
Finance
FBT revenue contribution per month. Cross-checked against the Woo sales report for category attribution.
The bigger picture
Why cross-sell data needs a dashboard, not a per-product list
WPC Frequently Bought Together gives merchandising a clean way to configure cross-sells per product. The reporting side stayed inside the order export. SleekView Charts reads the FBT meta and the order item rows and aggregates them into Number, Pie, Bar, and Area cards.
Top pairs, AOV uplift, and channel pacing land on one view. The plugin still owns the cross-sell selector and the checkout behaviour; the dashboard turns the resulting orders into a measured channel.
Questions
Common questions about SleekView Charts for WPC Frequently Bought Together for WooCommerce
It joins the order items to the _wpc_fbt_products meta on the parent product. Orders that include the configured cross-sell set carry a derived has_fbt flag.
Yes. A pair_label column built from the two product slugs is groupable on a Pie or Bar card. Top pairs sort by order count or by revenue.
Yes. Filter by has_fbt for FBT orders, by has_fbt false for single-product orders, then compare AOV between the two saved views.
Yes. SleekView reads wp_wc_orders and wp_wc_order_product_lookup when HPOS is enabled.
Yes. Each card clicks through to the SleekView orders table with the same filter applied, and that table exports as CSV.
No. Charts render in WP Admin only and read directly from existing tables.
Yes. Each saved view is gated by WordPress capability. Merchandising, marketing, and finance can each have their own.
Aggregations compute in SQL on indexed columns. The dashboard renders fast even on long order histories with high FBT volume.
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