See every advertised price across your reseller network, as consistent records with evidence your compliance process can act on.
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One reseller advertising 15% under MAP rarely stays alone. Marketplace repricers match the new floor within days, authorized retailers call to ask why they're still holding the line, and the pricing structure you spent years negotiating erodes one listing at a time. Most brands don't lack a MAP policy. They lack visibility: nobody can hand-check dozens of retailers, across marketplaces and regions, week after week.
Datka monitors the advertised prices of your products across every retailer and marketplace that carries them, and turns what it finds into records your compliance process can run on.
| retailer | product | advertised_price | map_price | delta | first_seen |
|---|---|---|---|---|---|
| Reseller A | Alpine 2P tent | 254.15 | 299.00 | -15.0% | 2026-06-28 |
| Reseller B | Alpine 2P tent | 269.10 | 299.00 | -10.0% | 2026-07-02 |
Illustrative. Each record also carries a reference to the captured listing, so you can show a retailer exactly what was advertised, and when.
What matters here is consistency: the same fields, computed the same way, for every retailer in every check. A consistent, comparable record is what lets you move from chasing one-off screenshots to seeing patterns: which retailers drift repeatedly, which products attract undercutting, whether a single marketplace seller is triggering the cascade.
When you contact a reseller, "our monitoring shows" carries weight in proportion to what's behind it. A timestamped price history with captured references reads very differently from a phone screenshot someone took last Tuesday. We supply that record; enforcement stays your process, run by your team on your terms, and we don't give legal advice. In practice, a clean history does most of the persuading before anyone escalates.
We track per market and locale with one schema everywhere, so a violation in Germany is directly comparable with one in the UK, and weekly or daily checks keep first_seen dates close to the actual drift. This matters most in categories built on authorized-dealer networks; outdoor and sportswear brands live with MAP pressure daily, and it's a vertical we cover in depth at outdoor and sportswear data. Records arrive wherever your compliance workflow lives: a warehouse table, a file drop, or an API feed. How collection and QA work behind that is laid out at the product page.
If you can list your resellers, we can tell you what monitoring them takes. Request a free assessment and we'll come back with per-retailer feasibility and a sample record built from your own products' public listings.
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See all FAQsYou'll get a feasibility read on your target sites plus a real data sample, free.