Upload your product feed, then press the button. Every product link is opened, every option is compared against what the page actually sells right now, and every price is compared against the page. You get the same spreadsheet back with the changed rows coloured in.
Downloads
These numbers reflect your CSV rows exactly as uploaded. No deduplication or attribution-window modeling is applied here. If your network export already applies its own attribution model, these totals carry that model through unchanged.
Volume
Money
Health
Daily trend: revenue and clicks
Bi-Weekly Program Update Email
Generates the bi-weekly update email from your uploaded CJ performance export: exact numbers from the spreadsheet, plus a draft Summary and Wins & Highlights ready for you to finish and send.
Publisher Tiers (by ROAS, commission only)
Ranked top/mid/bottom third by ROAS. A starting point for where to grow spend vs. pull back, not a final verdict.
| Tier | Publisher | ROAS | Revenue | Suggested action |
|---|
Flagged for follow-up
Flag a publisher in the table below and it lands here with a note field, so a flag is a real to-do, not just a highlighted row.
| Publisher | Note | |
|---|---|---|
| Nothing flagged yet. | ||
Publishers (click a column to sort)
| Publisher | Category | Clicks | Conversions | CR% | Revenue | Commission | EPC | Reversal% | Flag |
|---|
Revenue share by category
Codes you have approved
Paste the codes that are allowed for this brand, separated by commas or one per line. Anything on this list stops being flagged, and Iris remembers it.
Removed publishers matrix
Publishers you have already removed from the program. If a removed publisher links to the brand with no affiliate tracking, Coupon Watch skips them automatically so they do not clutter your action list.
Codes offered as live
These are the ones to act on.
Who is monetising the brand
Cash back and reward publishers.
Checked and left out
So you can see nothing was skipped.
Incrementality View
No logging required for detection. This reads your uploaded reporting data and finds where a publisher's effective rate (commission Ă· revenue) changed week to week with enough volume behind it to mean something.
Honest caveat: this shows a signal worth looking at, not proof. It's a before/after comparison with no control group, so treat it as "go check this publisher," not a final verdict on whether the rate change caused the result.
Example of what to do with it: "Honey's rate dropped from 7% to 5% last week and revenue fell, so check if that was an intentional cut before next payout."
| Publisher | Week of | Rate before | Rate after | Revenue trend after | Est. $ impact | Matches a logged change? |
|---|
Log a change (optional)
If YOU intentionally changed a rate, swapped a coupon, or ran new creative, log it here, and then the detection above can tell you "this matches something you did" instead of "unexplained shift."
| Publisher | What changed | Date | |
|---|---|---|---|
| Nothing logged yet. | |||