# Read Bundle Analytics

Bundle analytics help you understand which bundles attract attention, which ones turn shoppers into buyers, and where you should improve the offer, design, or promotion.

The analytics dashboard focuses on recent performance over the last 30 days.

## Where to Find Analytics

You can open analytics in two ways:

1. From the app dashboard, click the analytics action on a specific bundle.
2. Open the main **Analytics** page to review store-wide bundle performance.

Use the store-wide analytics page when you want to compare bundles. Use a bundle-specific analytics page when you want to improve one bundle.

## Dashboard Sections

The analytics dashboard includes:

* Views
* Orders
* Revenue
* Conversion
* Views over time
* Orders over time
* Revenue over time
* Average order value
* Top bundles by revenue
* Top bundles by conversion rate

Top bundle charts appear on the overall analytics page.

## What Each Metric Means

| Metric              | What it means                                | Why it matters                           |
| ------------------- | -------------------------------------------- | ---------------------------------------- |
| Views               | How many times customers viewed bundle pages | Shows demand and traffic                 |
| Orders              | How many orders included a bundle            | Shows buying activity                    |
| Revenue             | Sales attributed to bundle purchases         | Shows financial impact                   |
| Conversion          | Orders divided by views                      | Shows how well traffic turns into buyers |
| Average order value | Revenue divided by bundle orders             | Shows how valuable each bundle order is  |

## How to Read the Trends

Use the trend charts to spot changes over time.

Look for:

* A views spike after a campaign, homepage feature, or navigation change
* Orders increasing after a discount or design improvement
* Revenue increasing when customers choose higher-value products
* Conversion dropping after adding too many steps or options
* Flat views when the bundle is not promoted enough

Do not judge a bundle from one day of data. Look for patterns across several days, especially after making changes.

## Store-Wide Analytics

Use store-wide analytics to decide where to focus.

Helpful questions:

* Which bundle creates the most revenue?
* Which bundle has the strongest conversion rate?
* Which bundle gets traffic but few orders?
* Which bundle deserves more promotion?
* Which bundle should be redesigned or simplified?

If a bundle has high revenue and high conversion, promote it more. If a bundle has high views but low conversion, improve the offer or page experience.

## Bundle-Specific Analytics

Use bundle-specific analytics when improving one bundle.

Review:

* Whether views are increasing or decreasing
* Whether orders follow views
* Whether revenue is growing
* Whether conversion is healthy after design or discount changes
* Whether average order value matches your goal

## What to Do Based on the Data

### High Views, Low Orders

* Simplify the number of steps.
* Improve product images.
* Make the first step clearer.
* Add or improve tiered discounts.
* Check that the add-to-cart button is easy to find.
* Review the mobile experience.
* Make sure required steps are not too strict.

### Low Views, Good Conversion

* Add it to navigation.
* Feature it on the homepage.
* Promote it in email campaigns.
* Link it from related product pages.
* Use a clearer bundle name.
* Add the bundle to seasonal or campaign landing pages.

### Orders Are Good, Revenue Is Low

* Add higher-value products to the bundle.
* Create discount tiers that reward larger selections.
* Increase maximum quantities where it makes sense.
* Promote premium products inside the bundle.
* Review whether the first discount tier is too generous.

### Revenue Is Good, Conversion Is Low

* Keep the offer, but reduce friction.
* Move the bundle selection area higher on the page.
* Shorten intro text.
* Make discount messaging clearer.
* Test a simpler design template.

## After You Make a Change

When you edit a bundle, give the analytics time to show a pattern.

Good changes to track:

* New discount tiers
* A redesigned bundle page
* Fewer or clearer steps
* Better product images
* A homepage or navigation feature
* Email, SMS, or ad traffic

Compare the days before and after the change. Look for movement in views, orders, conversion, and revenue together.

## When Analytics Look Empty or Low

If analytics look lower than expected:

* Confirm the bundle is **Active** or **Unlisted** and has been viewed on the storefront.
* Confirm the app embed is enabled on the live theme.
* Confirm customers are visiting the bundle page, not only normal product pages.
* Confirm orders were placed through the bundle experience.
* Check the settings page for setup issues.
* Allow some time for new activity to appear.

## Privacy Note

Analytics are designed to help you understand bundle performance. Customer details may appear only when Shopify makes that context available. Use analytics responsibly and follow your store's privacy commitments.


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