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The Pricizo score explained

Published 3 October 2026 · Last updated 3 October 2026

What the 0–100 rating is made of, what “confidence” means, and when we deliberately show no score.

The short version

The Pricizo score from 0 to 100 answers one question: how good is the current price compared with what we have observed for this product so far? Next to it we show a level, the reasons in plain language and, separately, how confident the rating is.

The score is our own calculation from the prices we track. It is not a merchant's discount claim and not a purchase recommendation.

What the score is made of

Five parts go into the rating. The weights are starting values:

  • Position in the price history (33%): for how much of the last 90 days (or 30, if there is less data) was the price higher than today?
  • Comparison with other offers (28%): how does the price compare with the median of the fresh offers we currently track? This needs at least three offers.
  • Last 30 days (17%): how does the price compare with the typical price of the past month?
  • Closeness to the tracked low (17%): how near is the price to the lowest tracked value of the period?
  • Availability (5%).
  • If data is missing for a part, we use only the parts that exist. If both the history and the market comparison are missing, we show no score.

The levels

From 90 points: Great deal. From 75: Good deal. From 50: Fair price. From 25: Expensive. Below that: Very expensive.

Confidence

Confidence sits next to the score, not inside it. It depends on how many days of history we have, how many price changes we saw, how many fresh offers exist, how recent the data is, and how sure we are that the offers really are the same product.

A high score with low confidence is a hint, not a verdict. That is common for new products, and we say so explicitly.

When we deliberately show no score

  • There is no current offer that is in stock.
  • The data is not enough for an honest statement.
  • A tracked price is extremely far from the usual. That could be a data error or the wrong variant, so we check the price before rating it.
  • We are not sure enough that an offer belongs to exactly this product.

Limits

The weights are starting values and will be checked against real data. Prices change at any time; check the price at the merchant before you buy.

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