WPC Smart Wishlist Manager
WPC Smart Wishlist items, customers, and product demand collected in one filterable, sortable, exportable view. Built for merchandisers who want demand signals, not raw rows hidden behind a reports tab.
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Wishlists are gold, but only if you can read them
WPC Smart Wishlist writes every saved item to a custom WooCommerce table that most stores never read. The plugin's own admin shows lists per customer, but the merchandising question is the inverse: which products are wished by the most people, and how many of those people want a size we no longer stock. SleekView reads the same table directly and surfaces it as a sortable, filterable WordPress admin grid keyed on product, variation, and stock status.
A typical day looks like sorting by wishlist count descending, filtering Stock to Out of stock, and pulling a CSV of customer emails to feed into a back-in-stock automation. The four sample rows above already show the pattern: a Linen Summer Dress in Medium with available stock, a Wool Overcoat running low, Leather Sneakers in EU 42 sold out, and a Ceramic Mug Set ready to ship. Each row maps to a real reorder or outreach decision.
SleekView does not replace WPC Smart Wishlist. It sits on top of the existing wp_wpc_smart_wishlist data, respects WooCommerce roles, and writes back through the plugin's own hooks when a row is removed or edited. Merchandisers get a workspace; the plugin keeps owning the wishlist logic and the customer-facing widget on product pages.
Workflow
From wishlist rows to merchandising actions
Point at the WPC table
Define the columns
Save merchandising presets
Email and reorder
Sample columns
Wishlist items
wp_wpc_smart_wishlist
| Customer | Product | SKU | Variation | Added | Stock |
|---|---|---|---|---|---|
| alice@example.com | Linen Summer Dress | DRS-1042-M | Medium | 2026-04-24 | In stock |
| ben@example.com | Wool Overcoat | OVC-2210-L | Large | 2026-04-22 | Low stock |
| carla@example.com | Leather Sneakers | SNK-559-42 | EU 42 | 2026-04-21 | Out of stock |
| dario@example.com | Ceramic Mug Set | MUG-9908 | — | 2026-04-19 | In stock |
Comparison
WPC default UI vs. SleekView
WPC default admin
- Wishlist data hidden behind reports tab
- No filter by stock or product attribute
- Cannot bulk email wishlist owners
- Per-customer view only, no aggregate
- Limited export of wishlist signals
SleekView
- Aggregate wishlist demand by product
- Filter by stock status or product type
- Bulk select customers to email
- Spot top wished items in seconds
- Export wishlist data straight to CSV
Features
What SleekView gives you for WPC Smart Wishlist
Demand signals
Sort by wishlist count per product to find demand before stock decisions are made. Group by variation to spot which sizes and colors deserve the next reorder priority.
Back-in-stock outreach
Filter to out-of-stock wishlist items, export the customer emails, and trigger a back-in-stock flow the moment inventory returns to the warehouse.
Customer segments
Filter by category, price band, or customer to build targeted wishlist campaigns. VIP wishers, first-timers, and price-sensitive shoppers each get their own preset view.
Audience
Merchandising and CRM
Inventory planning
See which wished items are running low and reorder before customers churn. The wishlist count plus current stock plus variation breakdown is enough to write a purchase order from.
VIP customer outreach
Find your top wishlist customers and offer concierge service or early access. A short list of three-plus-item wishers usually outperforms a generic newsletter blast.
Retargeting
Export wishlist segments to your email tool and trigger personalized win-back flows. Pairing a wished SKU with a 10 percent code converts better than a generic promo.
The bigger picture
Wishlist demand is the cheapest forecast you have
Most stores treat wishlists as a courtesy feature for shoppers and never look at the data again. That is a missed forecast. Every wishlist row is a customer raising a hand, naming an exact SKU and variation, and waiting for a price drop or a restock.
Reordering by wishlist count instead of last quarter's sales prevents the classic out-of-stock-on-the-most-wanted-size problem that costs more than slow movers ever earn back. There is also a CRM angle: customers who wish three or more items are categorically different from customers who wish one. They tend to convert at higher rates when offered concierge service or early access.
Without a real table, none of this surfaces. WPC Smart Wishlist's own admin is built for the customer-by-customer use case, not the merchandiser-by-product use case. SleekView flips the orientation: products become rows of demand, customers become a column you can group and filter, and the wishlist data starts paying back the storage it has occupied since launch.
Questions
Common questions about SleekView for WPC Smart Wishlist
Yes. Multi-list adds a list name column to the wishlist table, and SleekView surfaces it as a filterable column. A customer with a Wedding list and a General list shows up as two grouped rows, so you can target campaigns to the right list rather than blasting everyone.
 Yes. WPC stores guest wishlists tied to a session cookie or a token, and those rows appear alongside logged-in customers. The Customer column shows the guest token instead of an email, so you can filter them out for compliance reviews or include them when measuring total demand signal.
 Yes. Variation attributes like size, color, or material appear as their own columns or as a combined Variation field. That lets a merchandiser sort by Medium, EU 42, or Navy specifically, which is the right granularity for reorder decisions rather than a coarse parent-product count.
 Yes. Any filtered view exports to CSV with whatever columns are visible. The export respects sort order and active filters, so a CSV of out-of-stock Medium dresses contains exactly those rows. The output is ready to drop into Klaviyo, Mailchimp, or a spreadsheet for the merchandising team.
 Yes. Removing a row writes back to the WPC table through the plugin's own removal function, which fires the standard wishlist hooks. Customer-facing wishlist counts on the storefront update accordingly. Bulk delete works the same way, so cleaning up a botched import does not corrupt customer data.
 No. SleekView is an admin-side tool that runs on the merchandising dashboard, not in the customer purchase flow. Object caching and indexed lookups keep the table snappy even with hundreds of thousands of wishlist entries, and there is zero impact on cart, checkout, or product page render times.
 Yes. The Added column is a real date and can be sorted, filtered to ranges, or used to compute staleness. A common preset is Wishlists older than 90 days with In stock status, which is a clean trigger for a we-still-have-it nudge campaign before the customer forgets entirely.
 Yes, indirectly. SleekView surfaces the data; you generate coupons through WooCommerce or your email tool. A typical flow is filter to wished-but-never-bought, export emails, and feed them into an automation that issues a unique coupon per recipient with a short expiry tied to the wished SKU.
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