# Wishlist Analytics — Tutorial

This tutorial shows you how to use the Wishlist Analytics dashboard to understand your customers' wishlist behavior and improve your store's performance.

---

## Prerequisites

- WordPress 6.2 or later
- WooCommerce 5.0 or later
- Bizzwishlist plugin installed and activated
- Admin access to your WordPress site

---

## Step 1: Access the Analytics Dashboard

1. Log in to your WordPress admin panel
2. In the left sidebar, find **Bizz Wishlist**
3. Click on the **Analytics** submenu

You'll see the analytics dashboard with summary cards, charts, and data tables.

---

## Step 2: Understand the Summary Cards

At the top of the dashboard, you'll find four summary cards:

### Total Wishlist Items
The total number of items currently in all users' wishlists. This includes both registered users and guests.

### Active Users
The number of unique users (registered + guests) who have at least one item in their wishlist.

### Unique Products
The number of distinct products that appear across all wishlists. A high number means customers are interested in a wide variety of products.

### Conversion Rate
The percentage of wishlist items that have been added to the cart. This is calculated as:

```
Conversion Rate = (Items added to cart from wishlist / Total wishlist items) × 100
```

A higher conversion rate means your wishlist is effectively driving sales.

---

## Step 3: Analyze Wishlist Trends

### The Trend Chart

The main chart shows two data series:

- **Wishlist Items** (pink line) — Number of items added to wishlists each day/month
- **Conversions** (orange line) — Number of items added to cart from wishlists each day/month

### Switching Between Views

Use the **Daily** and **Monthly** buttons above the chart to switch between:

- **Daily**: Shows the last 30 days of data
- **Monthly**: Shows the last 12 months of data

**Tips:**
- Look for patterns — are there specific days when wishlist activity peaks?
- Compare the wishlist line with the conversion line — a growing gap may indicate customers are saving items but not buying
- Seasonal trends can help you plan promotions

---

## Step 4: Review User Type Distribution

The doughnut chart shows the split between:

- **Registered Users** — Customers who were logged in when they added items
- **Guests** — Visitors who used the wishlist without an account

**Tips:**
- If most wishlist users are guests, consider adding incentives for account registration
- Registered users are more valuable — they can receive email reminders about their wishlists

---

## Step 5: Identify Most Wishlisted Products

The **Most Wishlisted Products** table shows the top 10 products by wishlist count.

**How to use this data:**
- **Stock management** — Ensure popular products are well-stocked
- **Promotions** — Run sales or discounts on highly wishlisted products to drive conversions
- **Product development** — Products frequently wishlisted but not purchased may need a price adjustment or better description
- **Featured products** — Consider featuring these items prominently on your homepage

Click the product name to go directly to its edit page.

---

## Step 6: Understand Your Users

The **Top Users by Wishlist Items** table shows which registered users are most active with wishlists.

**How to use this data:**
- Identify your most engaged customers
- Consider reaching out to top users with personalized offers
- Users with many wishlist items may be waiting for a sale

Click the user name to view their profile.

---

## Step 7: Monitor Recent Activity

The **Recent Wishlist Activity** table at the bottom shows the 10 most recent items added to wishlists, including:

- Product name
- User name (or "Guest" for unregistered visitors)
- Date and time

This gives you a real-time pulse on what customers are interested in right now.

---

## Best Practices

### Improving Conversion Rate

1. **Run targeted promotions** on highly wishlisted products
2. **Send price drop alerts** when wishlisted items go on sale (available in premium)
3. **Encourage account creation** so you can track and communicate with users
4. **Reduce friction** — ensure the "Add to Cart" button is visible on the wishlist page

### Using Analytics for Marketing

1. **Email campaigns** — Use the most wishlisted products in your newsletters
2. **Social proof** — Display "X people have this in their wishlist" on product pages
3. **Inventory planning** — Stock up on trending items before peak seasons

### Regular Review Schedule

- **Daily**: Check recent activity for unusual patterns
- **Weekly**: Review the trend chart for growth or decline
- **Monthly**: Analyze conversion rates and top products to plan promotions

---

## FAQ

### Q: Why is the conversion rate zero?
**A:** Conversion tracking starts from when the analytics feature was installed. Items added to cart before this update are not tracked. Give it some time to collect data.

### Q: Does the analytics track guest users?
**A:** Yes. Guest users are tracked via session keys. They appear as "Guest" in the activity table and are counted in the user type distribution chart.

### Q: How far back does the data go?
**A:** The daily trend shows the last 30 days, and the monthly trend shows the last 12 months. All data in the wishlist table is available for the summary cards and product tables.

### Q: Does this affect site performance?
**A:** No. Analytics queries only run when you visit the Analytics page in the admin area. The conversion tracking adds minimal overhead (a single database insert per cart action).

### Q: Can I export the data?
**A:** Currently, data export is not available. This is a planned improvement for a future version.
