Wishlist Adds and Wishlist Removals

The starting signals of wishlist demand

Wishlist Adds and Wishlist Removals reveal how customer interest is moving through your catalogue. In GoScript Advanced Wishlist WordPress Plugin for WooCommerce, they give you an immediate view of the newly saved products attracting attention and the saved items customers chose to remove during the same period.

1. What Wishlist Adds means

Wishlist Adds counts new customer-product interest created during the selected reporting period. Each add represents a shopper choosing to keep a product in view through their account-linked wishlist experience.

A fresh saveAn add is recorded when a customer saves a product to a wishlist during the period.

A customer-product signalThe metric reflects newly created interest in specific products, helping the report surface the items shoppers are choosing to remember.

Momentum-readyAdds also power the Momentum view and Trending Wishlist Products report, so you can see which interest is gathering pace.

Useful by productOpen the product-level reports to identify the catalogue items behind a strong or changing add pattern.

2. What Wishlist Removals means

Wishlist Removals counts wishlist interest customers removed during the selected reporting period. It is a helpful companion to new saves because it shows that the wishlist is an active customer workspace-not a static total.

A removal does not carry one universal meaning on its own. Shoppers may have purchased elsewhere, changed their mind, reorganised their lists, or simply refined what matters to them. The useful signal comes from reading removals alongside adds, current demand, and purchase outcomes.

3. How to read both signals together

Use a comparable time period and then move from the overall cards into the products behind the movement.

1. Choose Today, Last 7 days, Last 30 days, or Last 90 days based on the decision you are making.
2. Review Wishlist Adds to see how much new interest entered the store during that period.
3. Compare Wishlist Removals for useful context, rather than treating them as a verdict by themselves.
4. Check Current Wishlisters and the Most Wanted or Trending reports to identify the products still carrying meaningful customer demand.
5. Use Wishlist Purchases and Attributed Revenue to see where saved interest is progressing into paid-order value.

4. Turn activity into a better store response

These signals are especially useful for prioritising attention. A growing stream of new saves can support decisions around product presentation, promotion timing, inventory planning, and the products you feature most prominently.

• Use strong Wishlist Adds to discover products that are resonating before the sales record is complete.
• Use product-level patterns to focus follow-up on the products shoppers are saving repeatedly.
• Review removals as part of the wider customer journey, alongside availability, product changes, and purchase outcomes.
• Return to the reports regularly so your merchandising decisions stay connected to real, current customer interest.