SleekView for YITH WooCommerce Ajax Product Filter
SleekView reads the WooCommerce product tables and the attribute taxonomies YITH Ajax Product Filter presets target, then renders products with per-preset attribute coverage as a queryable audit grid inside WP Admin.
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Move YITH coverage audits out of spreadsheets into a real table
YITH WooCommerce Ajax Product Filter is one of the most widely deployed filter plugins on WooCommerce stores. Shop managers build filter presets (groups of facets per archive, category or shortcode) targeting WooCommerce attributes, taxonomies, custom fields, price ranges and stock status. Each preset renders as an Ajax-powered sidebar on the storefront.
YITH's admin lists configured presets and the facets inside them, which is the right surface for designing filters and the wrong surface for understanding whether the catalog is ready. Merchandisers click into products one by one to see attributes, or export thousands of rows to a spreadsheet before each launch.
SleekView reads wp_posts (product post type) joined with wp_term_relationships and the attribute taxonomies YITH presets target, then renders preset readiness as a real audit table. Product, category, brand, color, size and stock sit on every row. Filter to products missing the attribute a preset facet filters on, sort by category to prioritise grooming and export the missing-attribute cohort. The chart dashboard aggregates the same dataset, the table view owns the row-level audit.
Workflow
How SleekView surfaces YITH Ajax Product Filter data
Point at products and preset targets
Compose the columns
Filter and sort like a database
Save and gate the view
Sample columns
A typical YITH Ajax Product Filter audit view
wp_posts + wp_term_relationships + wp_terms
| Product | Category | Brand | Color | Size | Stock |
|---|---|---|---|---|---|
| Vela Silk Scarf | Accessories | Vela | Ivory, Rose | One size | In stock |
| Bay Cotton Polo | Tops | Bay | Navy, White | S, M, L | In stock |
| Stone Wool Beanie | Accessories | — | Charcoal | — | Low stock |
| Cedar Hiking Boot | Footwear | Cedar | Brown | — | In stock |
| Marsh Denim Jacket | Outerwear | — | — | S, M, L | Out of stock |
Comparison
Default YITH Ajax Filter admin vs SleekView
Default YITH presets settings panel
- Preset list shows facet configuration, not the products behind it
- Per-facet attribute coverage requires opening products individually
- Missing-attribute cohorts can only be assembled via SQL or CSV pivot
- Pre-launch readiness audits live in spreadsheets, not in admin
- No shareable readiness table for SEO or leadership
SleekView
- Every product row with the attributes YITH presets target inline
- product_cat and post_modified as real columns for grooming priority
- Filter to products missing a preset-targeted attribute or to a category
- Saved views per role: merchandising audit, SEO readiness, leadership summary
- Same dataset the chart dashboard aggregates, so table and chart stay in sync
Features
What SleekView gives you for YITH WooCommerce Ajax Product Filter
Preset readiness as a real table
Render products against YITH preset targets as inline columns, so merchandising audits per-preset readiness without opening products one by one.
Per-facet filters
One-click filter to products missing the attribute a YITH facet filters on turns near-empty controls into a fixable backlog.
Category-level prioritisation
Group missing-attribute rows by product_cat so merchandising tackles the categories with the worst YITH coverage first.
Audience
Who uses SleekView for YITH Ajax Product Filter
Merchandising teams
Surface products missing the attributes YITH presets target before a launch, prioritise fills by category and export the row cohort to the content team's backlog.
SEO and UX
Filter to facets with the lowest coverage to fix the near-empty controls and the thin filtered landing pages they produce, improving internal-link equity.
Store leadership
Open a read-only audit view scoped by category and confirm YITH readiness as rows, not as a screenshot of a presets panel.
The bigger picture
Why YITH preset coverage deserves a real audit table
YITH Ajax Product Filter is the workhorse facet plugin on tens of thousands of WooCommerce stores: clean presets, sensible defaults and reliable Ajax updates on archive pages. None of that matters when the products behind the facets miss the attributes the presets filter on, and the YITH admin surface stops short of telling merchandisers where the gaps are. SleekView reads the same product tables and the attribute taxonomies presets target and renders readiness as a queryable audit table with brand, color, size and stock inline.
Saved views split merchandising audits, SEO readiness checks and leadership summaries, and the chart dashboard aggregates the same rows. YITH keeps owning the storefront sidebar, while merchandising gets the row-level surface the data always deserved.
Questions
Common questions about SleekView for YITH WooCommerce Ajax Product Filter
wp_posts filtered to the product post type, wp_term_relationships and wp_terms joined with the WooCommerce attribute taxonomies YITH presets target (pa_color, pa_size, pa_brand and custom ones), plus the preset configuration YITH stores in options.
 Yes. Both editions configure presets against the same WooCommerce attribute taxonomies. SleekView reads the product side of that relationship, so the same audit table works for free and Premium installs.
 Yes. Filter products to those without a pa_color term (or any attribute a preset targets) and the row count and category Bar both update accordingly.
 Yes. Variations are stored as product_variation posts and inherit attributes from the parent. SleekView reads both and lets you choose whether to audit only parents or include variations.
 Yes. Filter the dataset to the archives a preset is attached to (category, tag or archive type) and every row narrows to that preset's audience and visible products.
 Yes, when explicitly enabled. Edits go through the WooCommerce products API rather than direct SQL, so plugin hooks observe the writes exactly as they would from the products screen.
 Yes. The chart view and the table view share the dataset, so a category or missing-attribute filter narrows both surfaces simultaneously.
 Yes. SleekView views can be private to a user or shared with specific roles. A read-only merchandising role gives an external partner the table and a scoped CSV export.
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