Find candidate offers
We review merchant promotion pages, terms, in-app campaigns, official social channels and leads from users or communities. Other coupon sites are discovery sources, not proof of validity.
EDITORIAL METHOD
How we verify offers
PromoNomy is operated by an individual or independent team. We publish a practical method and are clear about the limits of our testing and access to merchant data.
Standardise and deduplicate
We standardise code casing, store domains, discount types and markets. Obvious duplicates are merged while materially different terms or sources remain separate.
Map eligibility
We record country, currency, customer type, web/app channel, minimum spend, discount cap, full-price/Sale status, brand, boutique, payment, stacking and expiry conditions.
Test the checkout path
Without completing payment, we build representative baskets and record time, destination, channel, product status, outcome and full error message. Items may be separated to isolate exclusions.
Grade and rank evidence
We weigh source authority, test freshness, coverage, success and failure reports, and sample size. Ranking prioritises likely usability and transparent conditions, not the biggest headline discount.
Collect feedback and review
Structured feedback is checked for anomalies, duplicates and regional bias. Expiry, changed conditions or repeated failures can lower an offer's status or remove it.
EVIDENCE LEVELS
How to read offer status
Status reflects evidence health, not discount size.
Currently verified
Recent official material or clear checkout evidence supports the offer and its main eligibility terms.
Low probability
Historic success or limited recent signals exist, but failure, restrictions or age create significant risk.
Pending verification
A code or campaign lead exists, but conditions, testing or source evidence are incomplete.
Expired
The end date has passed, the offer was withdrawn, or evidence shows it should no longer be treated as current.
STATISTICS
How success rates are calculated
Numerator and denominator
Success rate = successes ÷ (successes + failures). “Not tried” is excluded so it cannot dilute the result.
Observation window
We favour recent feedback and show both success and failure counts. Small samples are not presented as certainty.
Anomalies and duplicates
Repeated submissions from the same environment are limited and unusual clusters are reviewed. Feedback supports, but does not replace, terms and checkout testing.