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

# Analytics

The **Analytics** section helps you understand how customers are interacting with your wishlist and which products are generating the most interest.

You can use these insights to identify popular products, track wishlist engagement, and better understand customer behavior.

#### Period

Choose the date range for the analytics data.

For example, selecting **Last 30 Days** will display wishlist activity from the previous 30 days.

<figure><img src="/files/lK2jJeSHKcjOsTt7Hv03" alt=""><figcaption></figcaption></figure>

#### Wishlist Sessions

The total number of visits where customers interacted with the wishlist.

This includes both:

* **Visitors** (guest users)
* **Customers** (logged-in users)

A higher number of sessions indicates stronger engagement with your wishlist feature.

<figure><img src="/files/cO4xjnYA6NMbjOFM2WZz" alt=""><figcaption></figcaption></figure>

#### New Wishlists (Distinct Shoppers)

The number of unique shoppers who created or used a wishlist during the selected period.

Each shopper is counted only once, regardless of how many products they save.

<figure><img src="/files/H8qVlYi4Sa1B3ecU40m2" alt=""><figcaption></figcaption></figure>

#### Saved Items (Add Events)

The total number of times products were added to wishlists.

For example:

* Customer A saves 3 products.
* Customer B saves 2 products.

Total Saved Items = **5**

<figure><img src="/files/M4lZ4s9qFJmFy39ImGEt" alt=""><figcaption></figcaption></figure>

#### Saves by Surface

Shows where customers are saving products from.

Examples include:

* Product Pages
* Collection Pages
* Quick View Popups
* Save for Later
* Floating Wishlist

This helps you understand which areas of your store drive the most wishlist activity.

<figure><img src="/files/pNBaFzasE2Z0Cn5diwQ0" alt=""><figcaption></figcaption></figure>

#### Interactions by Type

Displays the different types of wishlist actions performed by customers.

Examples:

* Product Added to Wishlist
* Product Removed from Wishlist
* Wishlist Opened
* Product Moved from Cart to Wishlist

This provides a breakdown of overall wishlist engagement.

<figure><img src="/files/wIPQibnlzzEytVUXG2gy" alt=""><figcaption></figcaption></figure>

#### Top Products

Displays the products that have been added to wishlists most frequently.

Use this section to identify:

* Popular products
* High-interest items
* Products customers may purchase later

<figure><img src="/files/cXO5LdDkz7nXUQ22yWXk" alt=""><figcaption></figcaption></figure>

#### Top Variants

Shows the most-saved product variants.

Examples:

* Size: Large
* Color: Black
* Material: Cotton

This helps you understand which specific product options customers prefer.

<figure><img src="/files/G2LejwGAl3muNyRqetHt" alt=""><figcaption></figcaption></figure>

#### Signed-in Customer Rate

The percentage of wishlist activity coming from logged-in customers.

A higher percentage means more customers are using their accounts when interacting with wishlists.

<figure><img src="/files/3bVswHZvORq2eFK7LjVb" alt=""><figcaption></figcaption></figure>

#### Average Saves per Signed-in Customer

The average number of products saved by each logged-in customer during the selected period.

This metric helps measure how actively customers are using the wishlist feature.

For example:

* 5 logged-in customers saved a total of 25 products.

Average Saves per Signed-in Customer = **5**

<figure><img src="/files/cIcu61nHJdF2uh2YpP9n" alt=""><figcaption></figcaption></figure>

#### Why Analytics Matter

Wishlist analytics help you:

* Discover your most popular products.
* Understand customer interests and shopping behavior.
* Identify products customers intend to purchase later.
* Improve marketing campaigns and promotions.
* Track the overall performance of your wishlist feature.