BizFalcon AIThe codes you are paying customers to use anyway.
A discount only costs you something when the buyer was already converting. Every code is scored by who redeemed it — new versus repeat, paid versus organic — so you can fence the ones being spent on people who were coming back regardless.
- Sample store: $436K given away across 9,713 discounted orders
- COMEBACK ran 26.4% off, 82.6% of it to repeat buyers — ~$7.3K/mo recoverable by fencing it
- Per-code redemption split, with the orders listed
- Sample store: $436K given away across 9,713 discounted orders
- COMEBACK ran 26.4% off, 82.6% of it to repeat buyers — ~$7.3K/mo recoverable by fencing it
- Per-code redemption split, with the orders listed
What people ask before they trust this number.
How do you know the buyer was converting anyway?
By who redeemed the code. A code redeemed overwhelmingly by repeat buyers arriving on organic traffic was, in the main, money handed to people already on their way to checkout. On the sample store COMEBACK ran 82.6% repeat, which is what makes it the fenceable one.
What does 'recoverable' mean here?
The repeat-buyer slice of a code's discount cost, which is what fencing it to first orders would stop paying out. For COMEBACK on the sample export that is about $7.3K a month. It is an estimate of a ceiling, not a promise, and the orders behind it are listed.
Can I see it per code?
Every code, with its redemption count, average depth, and the new-versus-repeat split. Sort by cost and the ones worth fencing sit at the top.
What else the same export computes.
Run it on your own export.
Fourteen days, no card. Upload a file and the figures above compute on your rows.