> For the complete documentation index, see [llms.txt](https://docs.elitebundleapp.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.elitebundleapp.com/grow-and-manage/analytics.md).

# Analytics

Understand Shopify bundle analytics in Elite Bundle Builder, from revenue, orders and conversion to upsells, traffic sources and bundles to fix.

Analytics show how much your bundles sell, which ones turn visitors into buyers, and which ones need fixing first. Every number is compared with the period of the same length just before, so you can see what changed.

<figure><img src="https://1636628623-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F803Sm8MKSqVH5ol6hROo%2Fuploads%2Fgit-blob-2f800421bb4d0e6fa0b46d857030d5ed12142a05%2Fanalytics-overview.png?alt=media" alt="Store-wide analytics"><figcaption><p>① The date range and the period it is compared with, ② the headline numbers, ③ where views came from, ④ bundles that need attention</p></figcaption></figure>

## Where to find it

* **Analytics** in the app navigation: the whole store, with a table of every bundle
* The analytics action on a bundle in the dashboard, or a bundle's name in that table: one bundle

Pick the dates at the top. The default is the last 30 days. Days follow your store's time zone and money is in your store's currency.

## The headline numbers

| Metric          | What it means                                                                           |
| --------------- | --------------------------------------------------------------------------------------- |
| Revenue         | What shoppers paid for bundles, after the bundle discount                               |
| Orders          | Orders that include at least one bundle                                                 |
| Views           | Bundle page views                                                                       |
| Conversion rate | Orders ÷ bundle page views                                                              |
| Upsell revenue  | Revenue from shoppers who arrived through an [upsell](/grow-and-manage/upsells.md) card |

Each tile shows the change against the previous period: a percentage, or percentage points (**pts**) for rates. No change, or nothing to compare with, shows no badge. Under the number, a small line draws the metric's days.

**Order insights** add context:

| Metric                | What it means                                                            |
| --------------------- | ------------------------------------------------------------------------ |
| Avg bundle order      | Bundle revenue ÷ orders                                                  |
| Bundles sold          | Bundles sold. One order can hold several                                 |
| Extra spend per order | What bundle buyers spent on other products in the same order, on average |
| Repeat buyers         | Share of bundle orders from shoppers who had bought a bundle before      |

## The trend chart

One chart, one metric at a time: click a tile to switch between **Revenue**, **Orders**, **Views**, **Conversion rate** and **Upsell revenue**. The solid line is the period you picked, the dotted line the period before it, day by day. For a week or less the chart shows bars instead, each day beside the same day of the period before. When the range has no activity yet, the chart stays empty with a note.

## Upsells and traffic sources

The **Upsells** card shows how often upsell cards were seen and clicked, the click rate and the orders they brought in, with one line on what to do next. See [Upsells](/grow-and-manage/upsells.md#track-how-it-performs) for how each is counted.

**Where views came from** splits bundle page views by the site that sent them: direct or unknown, your store's own pages, or another site such as Instagram or Google. It covers views only; orders are not split by source.

## Bundles that need attention

The store-wide page ends with a table of every bundle: views, orders, conversion, revenue with its change, and upsell clicks and orders. It is sorted with bundles that need attention first. A flag needs enough data behind it, so a quiet morning on **Today** flags nothing. Each flagged bundle carries one flag, the first that applies:

| Flag                      | When it shows                                                                                                | What to try                                                              |
| ------------------------- | ------------------------------------------------------------------------------------------------------------ | ------------------------------------------------------------------------ |
| **Views dropped to zero** | No views, while the period before had enough views to expect some by now                                     | Check the bundle is still Active, its links work and the app embed is on |
| **Views, no orders**      | 50+ views and no orders                                                                                      | Check the first step, the images and the discount                        |
| **Low conversion**        | 100+ views and a conversion rate under half your store's                                                     | Fewer steps or a clearer discount                                        |
| **Upsell not clicked**    | 200+ upsell card views and a click rate under 1%                                                             | Another image, a shorter title or another style                          |
| **No views**              | An active or unlisted bundle nobody viewed in 7 or more days of the range (counted from when it was created) | Link it from your menu or homepage, or turn on its upsell                |

A bundle with no flag and fewer than 50 views shows **Too early to tell**; with more, **Looks good**. Draft bundles are never flagged. A bundle's own analytics page shows its flag as a banner at the top.

## Top buyers

Both pages end with the shoppers who bought a bundle in the dates you picked: the store-wide page lists buyers of any bundle, a bundle's page only that bundle's buyers.

| Column     | What it shows                                                              |
| ---------- | -------------------------------------------------------------------------- |
| Customer   | Name, with the email below. Click the name to open the customer in Shopify |
| Type       | **Repeat** if they had bought a bundle before, **New** otherwise           |
| Orders     | Their bundle orders in the period                                          |
| Revenue    | What they paid for bundles in the period                                   |
| Last order | Their latest bundle order in the period                                    |

Search by name or email, and sort by revenue, orders or latest order. The table shows your top 100 buyers by revenue. Guest checkouts without a customer record are not listed.

## What to do with the numbers

{% tabs %}
{% tab title="High views, low orders" %}
The page gets traffic but does not convert. Reduce friction:

* Fewer steps, clearer first step
* Better product images
* Add or improve tiered discounts
* Make the add-to-cart button obvious
* Check the mobile experience
* Loosen required steps that are too strict
  {% endtab %}

{% tab title="Low views, good conversion" %}
The offer works; it needs traffic:

* Add it to navigation and the homepage
* Turn on its [upsell](/grow-and-manage/upsells.md) so it shows on related product pages
* Promote it in email or SMS
* Use a clearer bundle name
  {% endtab %}

{% tab title="Orders fine, revenue low" %}
Shoppers buy small bundles:

* Add higher-value products
* Reward larger selections with a higher tier
* Raise maximums where it makes sense
* Check whether the first tier is too generous
  {% endtab %}

{% tab title="Revenue fine, conversion low" %}
Keep the offer, cut friction:

* Move the selection area higher on the page
* Shorten the banner text
* Clearer discount messaging
* Try a simpler template
  {% endtab %}
  {% endtabs %}

{% hint style="info" %}
Do not judge a bundle on one day. Compare the days before and after a change (new tiers, a redesign, fewer steps, a homepage feature) and look for movement in views, orders, conversion and revenue together.
{% endhint %}

## Analytics look empty or low?

* Confirm the bundle is **Active** or **Unlisted** and has been viewed on the storefront in the dates you picked
* Confirm **Elite Embed Core** is enabled on the live theme
* Confirm orders went through the bundle page, not as separate products
* Check [App settings](/get-started/settings.md#setup-status) for a failed web pixel
* Allow some time for new activity to appear

Customer names and emails come from Shopify and are erased when a customer asks Shopify to delete their data. Use analytics in line with your store's privacy commitments.
