> For the complete documentation index, see [llms.txt](https://wishlistsuite-1.gitbook.io/wishlistsuite-help-doc/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://wishlistsuite-1.gitbook.io/wishlistsuite-help-doc/app-overview/wishlist-analytics.md).

# Wishlist Analytics

### Overview

The **Analytics tab** gives you a data-driven overview of how customers interact with your wishlist feature.

By tracking wishlist engagement, conversions, and product demand, merchants can better understand **customer purchase intent** and make smarter marketing and inventory decisions.

***

### ⏱️ Date Filters

At the top of the analytics dashboard, you can filter data by time period.

Available filters include:

* Today
* Yesterday
* Last 7 Days
* Last 30 Days
* Last 90 Days
* Last 365 Days
* Custom Date Range

This allows you to track trends and evaluate how wishlist performance changes over time.

<figure><img src="https://3404640073-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F0QTEjqEnObTgbPqrUM46%2Fuploads%2Fm0IC8kRLmPf520AsFiAp%2Fimage.png?alt=media&amp;token=685ce5c6-5250-48c6-a348-56dc15ea69ff" alt=""><figcaption></figcaption></figure>

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### 🛍️ Channel Filters

<figure><img src="https://3404640073-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F0QTEjqEnObTgbPqrUM46%2Fuploads%2FroRnm9CTEWPcbmywIy8b%2FScreenshot%202026-08-21%20at%205.44.58%20PM.png?alt=media&amp;token=d9e259d9-d428-43c9-986b-d4769a5e10e4" alt=""><figcaption></figcaption></figure>

Use the **Channel** filter in the Analytics tab to view data for each sales channel separately, such as your **Online Store** or **Shopify POS (Point of Sale)**. This helps you compare performance and gain channel-specific insights without mixing data from different sources.

***

### 📈 Key Performance Metrics (KPIs)

These high-level metrics provide a quick overview of how customers are using wishlists in your store.

**⭐ Total Wishlists-** The total number of wishlists created across all customers.

**👥 Total Customers-** The number of logged-in customers who have interacted with the wishlist feature.

**💰 Conversion Rate**- The percentage of wishlist items that were eventually purchased.

This metric helps merchants measure how effectively wishlists translate into actual sales.

<figure><img src="https://3404640073-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F0QTEjqEnObTgbPqrUM46%2Fuploads%2FgRXBAKdL9er7bnm9Spq1%2Fimage.png?alt=media&amp;token=d9bbcf3e-fcba-4ac8-bc5c-80b13510c4aa" alt=""><figcaption></figcaption></figure>

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### 📊 Customer Engagement Metrics

These metrics show how customers interact with your wishlist feature.

**👀 Wishlist Views**\
The total number of times customers have viewed their wishlist pages.

**➕ Items Added**\
The number of products customers have added to their wishlists.

**🛍️ Conversions**\
The number of wishlist items that resulted in completed purchases.

Tracking these metrics helps merchants understand **customer interest and purchase intent**.

<figure><img src="https://3404640073-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F0QTEjqEnObTgbPqrUM46%2Fuploads%2F2BeFc30LGpW9nz5iX0ma%2Fimage.png?alt=media&amp;token=c64ce50c-e7b5-4fc1-8c1f-adaf30623833" alt=""><figcaption></figcaption></figure>

***

### 📍 Saves by Surface

The **Saves by Surface** section shows where customers are adding products to their wishlists within your store.

Examples include:

* Product pages
* Collection pages
* Cart page
* Other storefront surfaces

This insight helps merchants determine **where wishlist buttons are most effective**.

<figure><img src="https://3404640073-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F0QTEjqEnObTgbPqrUM46%2Fuploads%2FavrEOwZaRxDYnfuuXxWQ%2Fimage.png?alt=media&amp;token=b1e2cdd5-a1e3-4820-a641-bcb295fa278f" alt=""><figcaption></figcaption></figure>

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### 🏆 Top Products

The **Top Products** section highlights the most wishlisted products in your store.

This helps merchants quickly identify:

* High-interest products
* Trending items
* Products customers intend to purchase later

These insights can help with:

* inventory planning
* merchandising decisions
* promotional campaigns

<figure><img src="https://3404640073-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F0QTEjqEnObTgbPqrUM46%2Fuploads%2FFo1G4I6u5DaHQpRp6h7n%2Fimage.png?alt=media&amp;token=513bd288-ea81-427c-a95c-d9042c28da38" alt=""><figcaption></figcaption></figure>

***

### 💵 Revenue Insights

Wishlist analytics also helps track how much revenue your wishlist feature generates.

**💰 Revenue from Conversions**\
The total revenue generated from products that were purchased after being added to a wishlist.

**🧾 Average Order Value (AOV)**\
The average order value for purchases that originated from wishlist conversions.

These metrics help merchants understand the **direct financial impact of wishlist engagement**.

<figure><img src="https://3404640073-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F0QTEjqEnObTgbPqrUM46%2Fuploads%2FzYr7qucIAChRuzPP2wIo%2Fimage.png?alt=media&amp;token=188a4b51-2ba2-4ec9-9639-1e9688faa4c3" alt=""><figcaption></figcaption></figure>

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## 📊 Recommendation Widget Analytics

Track how shoppers interact with your product recommendation widget to measure engagement and understand how effectively it drives product discovery and purchases in your online store sales channel.

**👀 Recommendation Widget Views**

Displays the total number of times shoppers viewed the recommendation widget on a product page. Each time the widget is loaded and visible to a shopper, it counts as a view.

**🖱️ Recommendation Product Clicks**

Displays the number of times shoppers clicked a recommended product from the recommendation widget. This metric helps you understand how engaging and relevant your product recommendations are.

**🛒 Recommendation Added to Cart**

Displays the number of times shoppers added a recommended product directly to their cart using the recommendation widget. This metric measures how effectively the widget drives purchase intent without requiring shoppers to visit the recommended product page first.

<figure><img src="https://3404640073-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F0QTEjqEnObTgbPqrUM46%2Fuploads%2F65FSqdEJQR6YkTqwGEHD%2FScreenshot%202026-08-21%20at%205.51.13%20PM.png?alt=media&amp;token=c646821e-9557-45b3-ae73-717d195a9b52" alt=""><figcaption></figcaption></figure>

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## 🏪 POS-Specific Analytics

Track key in-store interactions and customer engagement from your Shopify POS.

### 👥 Products Shown to Staff

Displays the number of times a product was pulled up on a POS device by a staff member during a customer's in-store visit.

### 🔔 Back in Stock Signups

Displays the number of customers who requested to be notified when a sold-out product becomes available again through your Shopify POS.

<figure><img src="https://3404640073-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F0QTEjqEnObTgbPqrUM46%2Fuploads%2Fbtnw4IBesMTCv2D4lF4S%2FScreenshot%202026-08-21%20at%205.58.16%20PM.png?alt=media&amp;token=6c55e3a3-e58a-4551-8161-333cc6647c91" alt=""><figcaption></figcaption></figure>

***

### 🚀 How This Helps Your Store

Wishlist analytics provides actionable insights that merchants can use to improve store performance.

**📦 Inventory Planning**\
Use the **Top Products** list to ensure high-demand items stay in stock.

**📍 Optimize Wishlist Placement**\
Use **Saves by Surface** data to determine where wishlist buttons perform best.

**📣 Improve Marketing Campaigns**\
Target customers with reminders, discounts, or emails for products they have saved.

**📊 Track ROI**\
Measure how much revenue your wishlist feature generates through **conversion and AOV metrics**.<br>