1. Price quality
We compare the current price with available reference prices and price history. When reliable history is unavailable, we identify the item as a popular pick rather than claiming a verified price drop.
2. Historical value
As our price-history dataset grows, we evaluate how the current price compares with recent lows, typical prices and previous drops.
3. Customer confidence
Ratings, review volume and review quality help indicate whether buyers consistently receive the expected value. High ratings alone are not enough when the sample is too small.
4. Product usefulness
We consider whether the item solves a real problem, offers clear practical value and is appropriate for the audience and season.
5. Availability and retailer reliability
Featured products should be in stock from a recognizable retailer or seller. Shipping terms, seller quality and return conditions may affect selection.
6. Freshness
Prices and availability are checked as recently as practical. Each deal may show a verification time so shoppers know when the information was last reviewed.
7. OneDailyDrop Score
The score may combine price value, historical discount strength, customer rating, review volume, popularity, freshness and editorial assessment. The model is designed to support—not replace—editorial judgment.
What we do not promise
We do not claim that every featured item is the lowest price anywhere unless reliable data supports that statement. Retailer checkout pages control the final price.
Last updated: July 22, 2026