How Often Amazon Prices Change
In one day of our own price readings, 3.4% of back-to-back reads of the same listing showed a new price, and most changes were small.
By Olivia HarperContributing writer.
On this page
Wiki Shopping reads Amazon prices several times a day. We looked at one full day of those readings to see how often a price moves between two reads. This is a measurement of our own data, not a statement from Amazon.
What we measured
The window runs from 1:22 PM PDT on October 22, 2026 to 1:22 PM PDT on October 23, 2026. In that time our price database recorded a price for 41,044 Amazon listings. 31,877 of them were read at least twice, which gives 51,728 pairs of back-to-back reads of the same listing. The median time between the two reads in a pair was about 5.8 hours.
What we found
- Most reads showed the same price. 1,777 of the 51,728 back-to-back pairs (3.4%) showed a different price.
- About 1 in 20 listings moved during the day. 1,544 of the 31,877 listings read more than once (4.8%) showed more than one price.
- Changes went both ways. 916 changes were price drops and 861 were price increases.
- Most changes were small. The median change was about 1.5% of the earlier price. One change in ten was larger than about 16.6%.
| Size of change | Changes |
|---|---|
| Under 1% | 806 |
| 1% to 5% | 410 |
| 5% to 10% | 176 |
| 10% to 25% | 293 |
| 25% or more | 92 |
What it means when you shop
- A price can move within hours. That is why every price on Wiki Shopping carries the time we read it, and why we hide prices older than 24 hours. See how Wiki Shopping shows prices.
- Prices go up as well as down. In this day of data, increases were almost as common as drops.
- Check the store before you pay. The price at checkout is the one that applies.
Limits of this measurement
This is one day of readings, so it does not show weekly or seasonal patterns, or sale events. It counts only listings we read at least twice in the window, and a price could change and change back between two reads without us seeing it.
How we measured
A read-only SQL query over our price history table (Amazon readings only, rows with a price) compared each reading with the previous reading of the same listing in the window above. The exact query is kept with the Wiki Shopping project notes.