Added revenue sits alongside Total sales and Sold items on your statistics. It is meant to answer the question that matters most: did offering a quantity break actually make you more money?
What it is built from
For every order that is attributed to one of your deals, Drip Discounts walks the discounted line items and adds a contribution from each one:
- For a line where the shopper bought one unit, it adds the discount amount on that line.
- For a line where the shopper bought more than one, it applies a different formula involving the line price, the quantity and the per-unit discount.
those two branches are not consistent with each other, and the multi-quantity branch does not produce a figure that matches any plain-English definition of "extra revenue". Treat Added revenue as a directional indicator that moves when your deals perform better or worse — not as a dollar amount you can reconcile against your Shopify reports or put in a P&L.
If you need a defensible number, export your Shopify order data and calculate it yourself.
Reading it sensibly
- Compare it against itself over time. The figure is consistent with its own past values, so a rise after a change is meaningful even though the absolute amount is not.
- Do not compare it to Total sales as though they are two views of the same money. They are built from different parts of the order.
- Remember it is all-time. There is no date filter, so a recent improvement is diluted by every month before it. Write down the figure and the date before you change anything.
Improving your deal performance
- Sharpen your tier jumps — make each higher tier's saving clearly worth the extra units.
- Set a smart default tier — anchoring shoppers on a bigger bundle lifts the average.
- Use labels — a "Best value" badge on the tier you want to sell nudges more shoppers toward it.
- Test the price framing — try Show prices per item on and off and compare.
A simple workflow
- Note today's Added revenue and Sold items figures, with the date.
- Make one change to a deal.
- Wait long enough to collect a meaningful number of orders, then compare.
- Keep changes that raise the numbers and revert ones that do not.
do not rename a deal bar as part of an experiment. Renaming breaks statistics attribution for that bar, and new orders stop being counted entirely — which will look like a catastrophic result from whatever else you changed.