Same SKU listed at materially different prices on OnBuy vs Amazon UK. MAP/brand-consistency risk.
At a glance
Count of SKUs that are listed on both OnBuy and Amazon UK but priced more than 15% apart. A brand-consistency and MAP-policy risk: if Amazon’s price-policing crawler spots the cheaper OnBuy listing, the merchant’s Amazon listing can be suppressed under “Featured Offer disqualification” rules, costing more revenue than the OnBuy listing makes.
Calculation
Calculated automatically from your OnBuy data. See the At a glance summary above for what the metric tracks and the worked example below for a typical reading.Worked example
A small UK kitchen-and-tableware seller, snapshot taken 27 Apr 26. The seller has 95 SKUs listed on OnBuy and 180 on Amazon UK. The matcher finds 78 SKUs listed on both. The drift comparison flags 14 SKUs above the 15% threshold:Sibling cards merchants should reference together
This card is the marketplace-vs-marketplace pricing-discipline read. The natural pairings:Reconciling against the vendor’s own dashboard
Where to look in OnBuy’s own dashboard: Neither OnBuy nor Amazon offer a built-in cross-platform pricing comparison; this is a Vortex IQ-only view. The closest manual workflow is:
OnBuy Seller Console (https://seller.onbuy.com) -> Listings -> All Listings (export CSV with prices)
Amazon Seller Central -> Inventory -> All Inventory (export “Active Listings Report” with prices)
Compare in Excel: VLOOKUP on EAN, calculate ABS(price_a - price_b) / price_a > 0.15.
Most merchants do not run this comparison until Amazon issues a “Fair Pricing” warning, at which point the listing is already suppressed and the revenue is already lost.
Why our number may legitimately differ from a manual comparison:
Internal identity:
onbuy_xc_catalogue_drift = COUNT(SKUs WHERE EXISTS(onbuy.listing) AND EXISTS(amazon.listing) AND ABS(onbuy.price - amazon.price) / onbuy.price > 0.15 AND drift_days_consecutive >= 7)
The drift count and the per-SKU drill-down are derived from the same join; the count should always equal the row count of the drill-down table.