SleekView Charts for YITH Frequently Bought Together: FBT dashboards
YITH FBT stores recommended bundles in product postmeta under _ywfbt_ids and tracks attach as line items in woocommerce_order_items. SleekView Charts aggregates that data into a real dashboard showing which suggestions actually convert and which sit dead.
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FBT performance as a real signal
YITH Frequently Bought Together adds an upsell block to product pages, but the default admin gives no answer to the question that matters: which suggested bundles actually convert. Each parent product stores its recommendations in postmeta under _ywfbt_ids, and the choice to add the bundle lives in woocommerce_order_items with the suggested product alongside the parent. The data exists, but no admin screen joins it into an attach-rate signal.
SleekView Charts reads postmeta for the configured bundles, joins to woocommerce_order_items for actual co-purchases, and aggregates by parent product, bundle pair, and time. Top performing FBT pairs rank on a Bar chart. Attach rate across the catalog becomes a Number card built from FBT-attached orders divided by parent-product orders. Daily bundle conversions plot on an Area so a copy or layout experiment proves itself within a week.
The dashboard separates the bundles that earn the cross-sell block from the ones that take up space without converting. For a catalog with 50 active FBT configurations, that distinction is the difference between a working upsell program and a placebo feature.
Workflow
FBT dashboards in four steps
Connect FBT data
Build upsell cards
Save segment dashboards
Drill and export
Sample dashboard
Charts you can build from YITH FBT data
Catalog FBT attach rate
Average(attach_rate)
Top performing FBT pairs
Count
group by ywfbt_pair
Bundle size mix
Count
group by bundle_size
Daily bundle conversions
Count
group by date_created
Comparison
Default YITH FBT admin vs SleekView Charts
Default plugin admin
- No attach-rate KPI to prove the upsell program works
- Top performing FBT pairs not ranked anywhere
- Bundle size mix requires CSV pivots to compute
- Daily conversion trend not graphed against catalog changes
- Unused bundles hide in product meta with no usage signal
SleekView Charts
- Catalog FBT attach rate as one Number KPI card
- Top performing pairs ranked on a Bar chart
- Bundle size mix as a Donut for merchandising audits
- Daily bundle conversions on an Area for experiment proof
-
_ywfbt_idsmeta drives every aggregation directly
Features
What SleekView Charts gives you for YITH Frequently Bought Together for WooCommerce
Attach rate KPI
Number card computes FBT attach rate across the catalog by joining _ywfbt_ids meta to woocommerce_order_items. The single figure tells merchandising whether the upsell block earns its space on the product page or not.
Bundle ranking
Bar chart of top performing FBT pairs surfaces which suggestions actually convert. The merchandising team drops the bundles that don't perform and replicates the layout, copy, or pricing of the ones that do.
Bundle size audit
Donut chart of single, two-child, and three-plus bundles exposes the program's structural bias. A team over-investing in long bundles can pivot toward two-child pairs that data shows convert better.
Audience
Teams getting clarity from YITH FBT data
Merchandising
Top FBT pairs Bar surfaces which bundles to keep, replicate, or retire. Decisions about cross-sell layouts stop being template choices and start being driven by real co-purchase counts.
Experimentation
Daily bundle conversions Area proves whether a copy or pricing test on the FBT block actually moved attach rate. The test cycle compresses from quarter to week with the chart in plain view.
Revenue analysis
Catalog attach rate Number card translates directly to incremental AOV when paired with average bundle price. Finance gets a defensible figure for FBT-driven revenue contribution.
The bigger picture
Why FBT performance is a guess without a dashboard
Cross-sell suggestions on product pages generate either real revenue or a placebo effect, and most stores can't tell which. YITH FBT stores recommended bundles cleanly in postmeta and co-purchases land in standard woocommerce_order_items rows, but joining the two and aggregating into an attach-rate signal requires SQL skills the merchandising team usually doesn't have. Stores end up running FBT for years with no idea which bundles actually work.
SleekView Charts builds the dashboard the plugin should have shipped with, joining _ywfbt_ids meta to order items and rendering attach rate, top pairs, bundle size mix, and daily conversion trend as cards in WP Admin. Merchandising decisions stop being layout debates and start being driven by the numbers.
Questions
Common questions about SleekView Charts for YITH Frequently Bought Together for WooCommerce
Both. The Number KPI returns attach rate as an average across configured bundles, and the Bar of top pairs ranks by absolute co-purchase count. Merchandising sees the program-wide signal and the per-bundle winners on the same dashboard without writing a query.
 Yes. YITH FBT supports both manual product picks in _ywfbt_ids and category-based auto-suggestions. SleekView Charts groups on the meta source so manual and automatic configurations compare side by side, revealing which merchandising approach actually drives more attach.
 Yes. Variation-specific bundles store the variation_id in _ywfbt_ids and join to woocommerce_order_items by the variation row. The top pairs Bar groups by either parent product or specific variation so variation-level performance is visible when it matters.
 Yes. Joining woocommerce_order_items to posts and term relationships gives every card a category or brand filter. Merchandisers see FBT performance scoped to a single collection without rebuilding the dashboard each time the question changes.
 By default, the Area chart filters out refunded and failed orders by checking the parent order status on wc_orders. The filter is configurable so finance can include or exclude refunds depending on whether the question is about marketing reach or net revenue impact.
 Yes. The top pairs Bar groups on the child product side as well as the parent side. Merchandisers find their best universal upsell anchors (the products that work as bundle children across many parents) instead of guessing which items to put in every bundle.
 By default, attach rate uses completed and processing orders only, not cart additions that were removed before checkout. The dashboard can be configured to use cart events from a separate source if needed, but most merchandising teams want the conversion view by default.
 Yes. Every chart card pairs with a SleekView table view containing the underlying bundle records. Sort by attach rate ascending, filter to bundles below a threshold, and export to CSV for the merchandising review where retirement decisions happen.
 Pricing
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