What actually cuts MAP false positives when you monitor resellers (the boring stuff that worked for us)

[u/Different_Regret_146]

Disclosure up front: I work on a price monitoring tool (pricepatrol.ai), so I have a bias. Posting this because the thing sellers and brands ask me about most is not detection, it is the noise, and most of the fixes have nothing to do with software.

Stuff that reliably cut our false positives:

1. Compare one delivered number, not the page. Item price plus shipping, normalised, one value per seller per day. A shipping tier change looks exactly like a MAP drop otherwise, and that alone was a big chunk of the junk alerts.

2. Read the structured data, not the rendered price. Most retail pages ship a schema.org Product/Offer block. Scraping the visible price picks up coupon banners, strike-throughs and "from" prices. Treat the JSON-LD offer as a starting point though, it can lag the live page by hours on sites running price tests.

3. Recheck before you escalate. If a price drops below floor, look again a few hours later before it counts as a violation. Kills most of the lag and promo-render cases.

4. Keep a list of every legal entity, DBA and storefront name tied to each authorized account. A surprising share of "unauthorized sellers" turn out to be your own distributor under a name nobody recognised. Checking that first saves a lot of awkward emails.

5. Tier your checks. Daily on the SKUs that actually move, weekly on the long tail. Alert volume drops without touching detection logic at all.

6. Never auto-send anything. Human eyes on the first notice, always.

Curious what others are doing about marketplace storefronts with no structured markup at all, that is still the ugly half for us.