How to Export Your Bundles Analytics Data as CSV

Summary: Download a daily breakdown of your bundle performance — visitors, orders, revenue, and more — straight to a spreadsheet.

Intro

The Analytics dashboard gives you a live overview, but sometimes you need the raw numbers — to share with a team, run your own analysis, or track performance over time in a spreadsheet. The Export CSV feature lets you download a daily time-series report for any date range and deal, in one click. A/B test variantas included.

How to export

1. Open Kaching Bundles and go to Analytics
2. Set your date range and deal block using the date picker at the top left
3. Optionally, filter by a specific deal block using the deal filter
4. Click Export CSV in the top-right corner

The export respects whatever filters you have active, so if you want data for a specific deal only, select it before exporting.

What's in the CSV

Each row represents one day for one bundle deal (and one A/B variant, if you're running a test).

#	Column	Definition / formula	Dashboad equivalent
1	`date`	The day the row's numbers belong to.	—
2	`deal_name`	Name of the bundle deal.	—
3	`variant`	A/B-test variant (`A`/`B`/`C`…); blank if the deal isn't A/B testing.	—
4	`currency`	Store currency — the unit for all money columns.	—
5	`visitors`	Visitors who saw this deal's widget on a product page that day.	"Visitors"
6	`add_to_carts`	Add-to-cart events for this deal that day.	—
7	`atc_rate_%`	`add_to_carts ÷ visitors × 100`.	"Add to cart %"
8	`eligible_orders`	Distinct paid orders that day containing product(s) the deal applies to (qualified, whether or not the discount was used).	—
9	`bundle_orders`	Distinct paid orders that day where the deal's discount was actually applied.	—
10	`visitor_conversion_%`	`eligible_orders ÷ visitors × 100` — share of visitors who placed a qualifying order.	"CR"
11	`bundle_conversion_%`	`bundle_orders ÷ eligible_orders × 100` — of qualifying orders, the share that took the bundle.	"Conversion to bundle" / "Orders with bundles"
12	`subscribed_orders`	Number of eligible orders that included a subscription — at least one item was purchased with a selling plan.	—
13	`subscribed_rate_%`	Percentage of eligible orders that included a subscription (subscribed orders ÷ eligible orders × 100).	—
14	`total_revenue`	Gross revenue from that day's orders containing the deal's products (store currency).	"Total revenue"
15	`added_revenue`	Extra revenue the bundle generated that day (e.g. single item $10, bundle of 2 at $18 → $8).	"Added revenue"
16	`aov`	`total_revenue ÷ eligible_orders`.	"AOV"
17	`revenue_per_visitor`	`total_revenue ÷ visitors`.	"Revenue per visitor"

Good to know

Visits and orders can fall on different days.

Visitors are counted on the visit day; orders/revenue on the paid day. So a daily row may show visitors with 0 orders (or vice-versa) — that's expected.

For this reason, daily atc_rate_% and conversion_rate_% are most reliable when read over a full period (e.g. totalling or averaging across the date range) rather than as single-day figures.

Data is in CET timezone.

Each row's date is a full calendar day in Kaching Bundles' reporting timezone, Central European Time (Europe/Vilnius) — the same timezone your Analytics dashboard uses. We keep the export and the dashboard on one timezone so the export's daily totals always match the numbers you see in-app.

All money is in the store's currency (currency column).

Multi-currency orders are converted to it.

Export = exactly what's on screen.

It respects the page's current date range and deal filter, and shows the same data the dashboard does.