SleekView Charts for YITH WooCommerce Wishlist
YITH stores wishlist data in dedicated yith_wcwl_lists and yith_wcwl_items custom tables. SleekView Charts turns the latent-demand signal into a dashboard merchandising and marketing can actually act on.
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Wishlist data as a real signal
Wishlist data is the closest a WooCommerce store gets to a clean signal of latent demand, and most stores throw it away. YITH WooCommerce Wishlist persists every list and every item in yith_wcwl_lists and yith_wcwl_items, but the default admin separates the two and surfaces basic counts without any aggregation. Merchandising decisions get made on past best-sellers instead of the products customers actually want next.
SleekView Charts reads both YITH tables directly and aggregates them into a latent-demand dashboard. Most-wanted products rank on a Bar chart by add-count. Wishlist age mix (recent, active, stale, abandoned) breaks down on a Donut so abandoned-wishlist outreach segments are visible at a glance. Total wishlisted items across the catalog becomes a Number card. Daily wishlist activity layers on an Area trend so a campaign-driven add spike is visible the next morning.
The dashboard pairs with the SleekView YITH Wishlist table view so merchandisers click a most-wanted Bar segment and see the customers who added it. Marketers click the stale slice and export the resulting customer list for a win-back campaign without exporting raw tables.
Workflow
Wishlist dashboards in four steps
Connect YITH tables
Build demand cards
Save segment dashboards
Drill and export
Sample dashboard
Charts you can build from YITH WooCommerce Wishlist data
Total wishlisted items
Count
Most-wanted products
Count
group by product_id
Wishlist age mix
Count
group by wishlist_age_bucket
Daily wishlist activity
Count
group by added_date
Comparison
Default YITH reports vs SleekView Charts
Default YITH admin
- Most-wanted product ranking isn't a built-in chart
- Wishlist age distribution requires manual filter clicks
- Total wishlist activity isn't graphed
- Per-customer wishlist count needs a custom query
- Abandoned-list outreach segments build through CSV exports
SleekView Charts
- Most-wanted products ranked on one Bar chart
- Wishlist age mix as a Donut for outreach segmentation
- Total wishlisted items as a single Number card
- Daily wishlist activity as an Area trend
- Privacy and share-token filters cascade across every card
Features
What SleekView Charts gives you for YITH WooCommerce Wishlist
Latent demand ranking
Bar chart of most-wanted products surfaces what customers actually want next, ranked by add count across the catalog. Merchandising decisions stop relying solely on past best-sellers.
Outreach segments
Donut chart of wishlist age separates active interest from stale and abandoned. Click the stale slice to export the segment for a win-back campaign without writing SQL.
Activity trend
Area chart of daily wishlist activity confirms when promotion landed. A spike the day after a Black Friday teaser proves the campaign worked before any orders arrive.
Audience
Who builds YITH WooCommerce Wishlist charts dashboards with SleekView
Marketing
Abandoned-wishlist Donut slice feeds win-back campaigns directly. Click the segment, filter the table to those customers, export the list to the email tool.
Merchandising
Most-wanted Bar chart ranks the products worth stocking and promoting. The merchandising review goes from CSV pivot to one ranked card.
Support
Per-customer wishlist count Number cards filtered to a single user show the support context fast. Shared-list debugging benefits from share-token filters cascading across every card.
The bigger picture
Why wishlist data deserves a dashboard
Wishlists capture a signal that order data cannot: what customers want before they have the money or the moment to buy it. YITH stores that signal cleanly in two custom tables, but the default admin presents lists and items as separate screens with no aggregation. Merchandising teams default to past best-sellers because the latent-demand signal is too hard to extract.
Marketing teams skip wishlist-driven campaigns because building a segment means exporting raw tables and joining them in spreadsheets. SleekView Charts builds the dashboard on top of the plugin's own tables so most-wanted products, wishlist age mix, total activity, and trends become one screen. A merchandiser planning next quarter's stocking opens the Bar chart and orders against actual demand.
A marketer building a Black Friday teaser exports the stale-wishlist slice and reaches customers with a specific reason to convert. Support filters the dashboard to one customer and sees the wishlist context that often answers the ticket on first read. The plugin captures the data; the dashboard makes it operationally useful instead of leaving it as archival weight in two tables.
Questions
Common questions about SleekView Charts for YITH WooCommerce Wishlist
Yes. Guest wishlists tied to session cookies sit in yith_wcwl_lists with a session_id rather than a user_id. Cards count them alongside authenticated wishlists or filter to authenticated-only for clean customer segmentation. Either configuration works.
Yes. Joining yith_wcwl_items with WooCommerce orders by product_id and customer_id produces a conversion-rate column. A Bar chart of conversion rate per product surfaces which wishlist items actually become orders versus which sit indefinitely.
Yes. YITH supports multiple lists per user. The dashboard counts lists and items separately so a Number card on lists and a Number card on items both make sense, depending on whether the metric should reflect customer behavior or product demand.
Yes. Public, private, and shared privacy states live on yith_wcwl_lists as a filterable column. Dashboard-level filters scope every card to one privacy state, which is useful for share-token debugging or for public-list-driven social proof analysis.
Yes. The two YITH tables are indexed on user_id and product_id. SleekView Charts aggregates server-side and caches per-card results. Catalogs with hundreds of thousands of wishlist items render the dashboard in well under a second with caching enabled.
Yes. Wishlist data lives in YITH's own tables independent of order storage. HPOS settings change only the order table, which the conversion-rate analysis reads from. The wishlist-side cards are unaffected by HPOS configuration.
Yes. Each chart exports its aggregated rows to CSV. Combined with the SleekView wishlist table view's row-level CSV export, marketing builds segmentation lists and merchandising builds stocking lists from the same dashboard.
Yes. Cards and dashboards save with WordPress capability gating. Marketing roles see outreach-focused cards, merchandising roles see most-wanted Bars, support roles see per-customer Number cards. Each role keeps its own pinned view.
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