Using the analytics page and conversion funnel

Open Analytics in Bundlex to see how your offers perform over a selected period, compare discounts, and inspect the orders behind Added revenue.

Choose a discount and date range

The discount dropdown starts at All discounts. Select a discount to filter the summary cards, chart, funnel, quantity breakdown, top products, and Added revenue breakdown. The Discounts table keeps the other discounts visible for comparison and follows the date range only.

The date picker offers 24 hours, Yesterday, 7 days, 30 days, 90 days, Week to date, Month to date, and All time. You can also select a custom range of up to 90 days and click Apply. Future dates cannot be selected.

The page defaults to 7 days and remembers your chosen preset. Dates use UTC calendar days: 24 hours means the current UTC day so far. Bounded periods compare automatically with the immediately preceding period of the same length. All time has no comparison.

Read the metric cards

The first four cards show Added revenue, Orders with bundles, Average order value, and Added revenue per visitor.

The additional cards show Visitors, Add to cart, Cart rate, Conversion rate, Bundles %, Upsell %, Subscribed, Renewals, Total revenue, and Revenue per visitor. The Subscribed card also shows the percentage of orders that were subscribed.

Hover a label for its definition and any tracking-start note. A rate or average shows a dash when its denominator is zero. See understanding your bundle metrics for formulas and examples.

Compare daily performance

The Performance chart lets you switch between Added revenue and Orders. The main line shows the selected period; the lighter line shows the preceding period of the same length, aligned day by day. There is no comparison line for All time.

The percentage change uses the period totals. When the previous value is zero, a percentage change cannot be calculated and is omitted.

Read the conversion funnel and quantity breakdown

The funnel shows Visitors, Add to cart, and Orders, with percentages relative to Visitors. It is not a matched set of individual shoppers progressing through every stage. Returning shoppers, tracking gaps, and orders from an earlier cart can make Orders exceed the recorded add-to-cart count.

The funnel bars cap their visual percentages at 100%; the metric cards and tables can show rates above 100%. See why some stats look inaccurate before treating that as a calculation error.

Quantity per order groups orders into 1, 2, and 3 or more units added through Bundlex. It counts the tagged items, not unrelated products elsewhere in the order.

Compare discounts and products

The Discounts table shows performance for each discount in the selected date range, including subscription and upsell metrics. Unlike the dashboard's lifetime table, this table changes with the date picker.

Top products ranks the top 10 by Added revenue for the selected discount and dates. Paid optional items contribute to their own product. A deleted product can still appear in historical results under its saved title.

One order can appear in more than one discount's figures. Use the shop-wide cards for a distinct order count instead of adding the table rows together.

Inspect and export Added revenue

The Added revenue breakdown lists the purchase groups behind the total, with their order, discount, baseline, discounts, amount paid, Added revenue, add-on contribution, and excluded overflow. It follows both the date range and discount filter. Older calculations have a legacy indicator.

Click Export CSV in that section to download up to 10,000 breakdown rows. Narrow the date range if you need to work through a larger history. This is an export of the breakdown, not the whole Analytics page.

For the calculation behind each row, see how orders are attributed to a bundle.

What is excluded

Cancelled and fully refunded orders are excluded, and partial refunds do not currently reduce the figures. Test orders are excluded on live stores. Subscription renewals appear only in the Renewals card; they do not increase Orders, Added revenue, Total revenue, or subscription and conversion rates.