DIPP RESEARCHSNAPSHOT · SEP 13, 2026

Kitchen carried the most overstated Amazon.ca discounts. Office carried the fewest.

A category breakdown of the same test as Dipp’s catalogue-wide reference-price study: of 475 products across 6 categories where both a reference price and Dipp’s own recorded history point to a real discount, 117 had a reference price overstating the real discount by 10 percentage points or more.

01 / BY CATEGORY

The pattern holds across categories, at different rates.

Every category below cleared a 30-product floor for its comparable cohort — below that, a single product’s classification can swing the rate by several points, which is not a sample worth publishing a percentage for. Toys and Baby did not clear it (Toys at 21, Baby at 19) and are not broken out individually here, though their products remain in the catalogue-wide count.

CategoryComparable productsReference overstates 10pp+Recorded overstates 10pp+
Kitchen8233% (27)6% (5)
Electronics18128% (51)3% (6)
Outdoors4827% (13)6% (3)
Beauty5821% (12)3% (2)
Home5616% (9)0% (0)
Office5010% (5)6% (3)
02 / READING THIS TABLE

A higher rate is not proof any specific listing is misleading.

This describes a category’s tendency across many products, not any one listing. A genuine, temporary reference price is indistinguishable from a stale one by this method alone — see how to read a reference-price discount for what to check on a specific product. The catalogue-wide version of this same test — the September reference-price study — found reference prices overstating the discount by 10+ points in 26% of its comparable cohort; the category rates above range from 10% to 33% around that figure.

“Overstates” is a defined comparison, not an accusation: it means the reference price implies a larger discount than Dipp’s own recorded typical price would, by 10 percentage points or more, for that product. It does not establish that any seller broke a rule, mispriced anything deceptively, or that the resulting discount is invalid — a reference price can legitimately differ from Dipp’s own recorded window for reasons that have nothing to do with deception, including a genuine price change Dipp has not yet observed, a different comparison period, or a real, temporary promotional price the product actually sold at elsewhere.

Methodology and limitations

How this breakdown was calculated

Same method and same moment as the catalogue-wide study: getComparisonBasis and getObservedMedianPrice from the live codebase, run against every product on 2026-09-13, grouped by the site’s own DEAL_CATEGORIES mapping rather than aggregated. Reproducible via scripts/authority-coverage-check.ts, which also reconciles this run against the published catalogue-wide numbers.

A cross-sectional snapshot of one moment, not a month of daily observations. Categories below 30 comparable products are named but not scored, rather than publishing a rate from a sample too small for the number to be stable. Coverage is not a census of Amazon.ca — it reflects products Dipp tracks, and category mix is uneven. This is independent research. Amazon did not commission, review, or endorse it.