How much did discount abuse cost you before DiscountHero? The Pre-analysis answers that with your own order history.
💡 In short: pick a period, start the analysis, and get an estimate of duplicate orders and lost revenue, projected to a full year.
The analysis runs on your imported orders, so the order import must be finished first. See Setup guide.
For every order in the period that used a discount code, the app checks whether the code was restricted (new customers only, or one use per customer) and whether other orders exist with the same or similar customer data. Matching orders are counted as potential duplicates.
| Figure | Meaning |
|---|---|
| Analyzed orders | Orders in the chosen period |
| Analyzed days | Length of the period |
| Total revenue of analyzed orders | Revenue of all orders in the period |
| Total duplicates (approx. yearly) | Estimated duplicate orders per year |
| Total revenue of duplicate orders (approx. yearly) | Revenue of those orders, projected to a year |
| Lost revenue (approx. yearly) | Discount value that was granted to customers who were not eligible, projected to a year |
The Pre-analysis is an estimate based on the same detection logic that runs live in your checkout. It is a strong indicator of the problem size and of which codes are abused most, not an exact accounting figure. Once the app is active, the dashboard shows the real, live numbers. See Activity Log and your numbers.
💡 Tip: you do not see the Pre-analysis page in your app? Contact us via support and we switch it on for your store.
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